CN113114969B - Intelligent video intercom monitoring system and intercom monitoring method for intelligent building based on big data - Google Patents
Intelligent video intercom monitoring system and intercom monitoring method for intelligent building based on big data Download PDFInfo
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- CN113114969B CN113114969B CN202110415011.6A CN202110415011A CN113114969B CN 113114969 B CN113114969 B CN 113114969B CN 202110415011 A CN202110415011 A CN 202110415011A CN 113114969 B CN113114969 B CN 113114969B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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- H04N7/14—Systems for two-way working
- H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
- H04N7/186—Video door telephones
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Abstract
The invention discloses an intelligent video talkback monitoring system and a talkback monitoring method for an intelligent building based on big data, which are characterized in that face images of personnel entering a forbidden area of a building cell door are collected, face processing images of the personnel entering the forbidden area of the building cell door are identified, if the personnel are visitors, visiting information is collected and is in video communication with corresponding visiting residents, if the residents agree, the entrance guard of the building cell is controlled to be opened, meanwhile, the time of the visitors entering the forbidden area of the unit building door where the corresponding visitors are located and the time of the visitors entering the forbidden area of the residence door of the corresponding visitors are counted in sequence, whether the set effective time is exceeded or not is analyzed, if the valid time is not exceeded, the corresponding entrance guard is opened, if the valid time is exceeded, the corresponding entrance guard is again in video communication with the visitors, and the corresponding entrance guard is opened after the visitors agree, therefore, the safety inside the building community is improved, and great convenience is brought to the management of the building community.
Description
Technical Field
The invention relates to the technical field of video talkback monitoring, in particular to an intelligent video talkback monitoring system and method for an intelligent building based on big data.
Background
In the development of urban modern construction and the intelligent process of buildings, as the monitoring technology is mature, the intelligent video monitoring system of the buildings in China is gradually developed. The installation of intelligent video monitoring systems in building community entrance guard areas has become a common phenomenon and is more and more favored by people.
At present, the existing building community entrance guard video monitoring system mainly aims at resident personnel in a community, when an access person enters the community, the management person needs to manually register, so that the entrance and exit efficiency of the building community entrance guard is reduced, the workload of the management person is increased, the human resource management cost of the building community is improved, the intelligent video intercom function cannot be realized, the resident cannot timely know the visitor condition in the residence, so that the resident misses important visitors, meanwhile, the existing building community entrance guard video monitoring system only carries out video monitoring on the entrance guard area of the building community, and cannot realize video monitoring on each unit building entrance guard and each residence entrance guard in the building community, thereby increasing uncertain factors in the building community, reducing the safety in the building community, bringing great difficulty to the management of the building community, and in order to solve the problems, an intelligent video talkback monitoring system and a talkback monitoring method for an intelligent building based on big data are designed.
Disclosure of Invention
The invention aims to provide an intelligent video intercom monitoring system and an intercom monitoring method for an intelligent building based on big data, wherein the face images of personnel entering a door forbidden area of a building community are collected, the face processing images of the personnel entering the door forbidden area of the building community are identified, if the personnel are visiting personnel, the visiting information is collected and is in video contact with corresponding visiting residents, and if the residents agree, the door forbidden area of the building is controlled to be opened; simultaneously acquiring images of personnel entering a unit building door forbidden area where a resident visited by the visitor is located, identifying and counting the time of the visitor entering the unit building door forbidden area where the resident corresponding to the visitor is located, calculating the time spent by the visitor in the process of visiting the unit building where the corresponding resident is located, if the time is less than or equal to the set effective time, opening a corresponding unit building door control, if the time is more than the set effective time, performing video contact with the resident visited by the visitor again, and opening the corresponding unit building door control after the resident agrees; meanwhile, the time of the visitor entering the corresponding resident entrance forbidden area is counted, the time spent by the visitor from the entrance forbidden opening of the unit building to the process of visiting the corresponding resident is calculated, if the time is less than or equal to the set time threshold value, the entrance forbidden of the corresponding resident is opened, and if the time is greater than the set time threshold value, the video contact is carried out with the resident visited by the visitor, the resident is informed to open the resident entrance forbidden, so that the problems in the background technology are solved.
The purpose of the invention can be realized by the following technical scheme:
an intelligent video intercom monitoring system for smart buildings based on big data comprises a video acquisition module, a face image processing module, a face image recognition module, a visiting information recording module, a cloud database, a personnel image acquisition module, a personnel image processing module, a face image acquisition module, an analysis server, a time analysis module and a control server;
the system comprises a video acquisition module, a human face image processing module, a personnel image acquisition module, a human face image processing module, a human face image acquisition module, a human face image processing module, a human face image acquisition module and a human face image acquisition module, wherein the human face image processing module is connected with the cloud database, the visiting information recording module and the human face image acquisition module;
the video acquisition module is used for carrying out video acquisition on the entrance guard area of the building community, acquiring the face images of people entering the entrance guard area of the building community and sending the face images of the people entering the entrance guard area of the building community to the face image processing module;
the face image processing module is used for receiving the face images of the persons entering the door forbidden area of the building community, sent by the video acquisition module, carrying out image processing on the received face images of the persons entering the door forbidden area of the building community to obtain face processing images of the persons entering the door forbidden area of the building community, and sending the face processing images of the persons entering the door forbidden area of the building community to the face image recognition module;
the face image recognition module is used for receiving a face processing image of a person entering a door forbidden area of a building community, which is sent by the face image processing module, extracting a standard face image of each resident person in the building community, which is stored in a cloud database, comparing the face processing image of the person entering the door forbidden area of the building community with the standard face image of each resident person, counting the similarity between the face processing image of the person entering the door forbidden area of the building community and the standard face image of each resident person, and indicating that the person entering the door forbidden area of the building community is an visitor if the similarity between the face processing image of the person entering the door forbidden area of the building community and the standard face image of each resident person is smaller than a set similarity threshold value, sending a visiting information acquisition instruction to a visiting information recording module, and simultaneously sending a face processing image of an visitor entering an entrance guard area of the building community to an analysis server;
the visiting information recording module is used for receiving a visiting information acquisition instruction sent by the face image recognition module, recording resident detailed information visited by visitors entering the building community access control area through artificial intelligence inquiry, and sending the resident detailed information visited by the visitors entering the building community access control area to the control server;
the control server is used for receiving the detailed information of the residents visited by the visitors entering the building community entrance guard area sent by the visiting information recording module, extracting the video contact way corresponding to the detailed information of the residents in the building community stored in the cloud database, screening the video contact way corresponding to the residents visited by the visitors entering the building community entrance guard area, carrying out video contact on the visitors and the corresponding residents visited, controlling the entrance guard of the building community to be opened if the resident agrees that the visitors enter the building community entrance guard, recording the corresponding time when the entrance guard of the building community is opened, and recording the time as t1Sending the time corresponding to the opening of the entrance guard of the building cell to an analysis server;
the cloud database is used for storing standard face images of personnel of each resident in the building community and storing video contact information corresponding to detailed information of each resident in the building community;
the personnel image acquisition module is used for acquiring images of the entrance guard area of the unit building where the resident visited by the visitor in the building community is located, acquiring images of all personnel in the entrance guard area of the unit building where the resident visited by the visitor is located, counting the images of all personnel in the entrance guard area of the unit building where the resident visited by the visitor is located, and sending the images of all personnel in the entrance guard area of the unit building where the resident visited by the visitor is located to the personnel image processing module;
the personnel image processing module is used for receiving images of all personnel in a unit building door forbidden area where a resident who accesses and visits is located and sent by the image acquisition module, processing the received images of all the personnel by adopting an image segmentation processing technology to obtain images of all the personnel faces in the unit building door forbidden area where the resident who accesses and visits is located, and sending the images of all the personnel faces in the unit building door forbidden area where the resident who accesses and visits is located to the analysis server;
the analysis server is used for receiving the face processing image of the visitor entering the entrance guard area of the building community sent by the face image recognition module, receiving the corresponding time when the entrance guard of the building community is opened sent by the control server, receiving the face image of each person in the unit building door forbidden area where the resident entering the visit of the visitor is located sent by the person image processing module, comparing the face image of each person in the unit building door forbidden area where the resident entering the visit of the visitor is located with the face processing image of the visitor, if the face image of a person in the unit building door forbidden area where the resident entering the visit of the visitor is located is completely matched with the face processing image of the visitor, indicating that the person in the unit building door forbidden area where the resident entering the visit of the visitor is the visitor, and counting the time when the visitor enters the unit building door forbidden area where the corresponding resident is located, is denoted by t2Calculating the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located, and sending the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located to the time analysis module;
the time analysis module is used for receiving the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located and sent by the analysis server, comparing the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located with the set effective time, and if the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located is less than or equal to the set effective time, sending a command of opening the unit building entrance guard to the control server; if the time spent by the visitor in the process of visiting the unit building where the corresponding resident is located is longer than the set effective time, sending a video talkback contact instruction to the control server;
the control server is used for receiving the unit building entrance guard opening instruction sent by the time analysis module and controlling the access personnel in the building communityThe entrance guard of the unit building where the visited resident is located is opened, meanwhile, the video intercom contact instruction sent by the time analysis module is received, video contact is conducted again with the resident visited by the visitor, if the resident agrees that the visitor enters the corresponding unit building entrance guard, the entrance guard of the unit building where the resident where the visitor visits in the building community is controlled to be opened, the corresponding time when the entrance guard of the unit building where the resident where the visitor visits is opened is recorded, and the time is recorded as t3Sending the corresponding time when the entrance guard of the unit building where the resident visited by the visitor is located is opened to the analysis server;
the face image acquisition module is used for acquiring a face image in a resident door forbidden area visited by an visitor entering a building cell, acquiring a face image in a resident door forbidden area visited by the visitor entering the building cell, and sending the face image in the resident door forbidden area visited by the visitor entering the building cell to the analysis server;
the analysis server is used for receiving the time corresponding to the time when the entrance guard of the unit building where the resident visited by the visitor is located and sent by the control server, receiving the face image in the forbidden area of the residential door visited by the visitor and sent by the face image acquisition module, comparing the face image in the forbidden area of the residential door visited by the visitor and the face processing image of the visitor, if the face image in the forbidden area of the residential door visited by the visitor and the face processing image of the visitor are completely matched, indicating that the person corresponding to the face image in the forbidden area of the residential door visited by the visitor and sent by the building cell is the visitor, counting the time when the visitor enters the forbidden area of the residential door corresponding to the visitor and recording the time as t4Calculating the time spent in the process of visiting the corresponding resident house after the visitor starts the unit building entrance guard, and sending the time spent in the process of visiting the corresponding resident house after the visitor starts the unit building entrance guard to the time analysis module;
the time analysis module is used for receiving the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard, comparing the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard with a set time threshold, if the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard is less than or equal to the set time threshold, sending an instruction for opening the resident house to the control server, and if the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard is greater than the set time threshold, sending a video intercom contact instruction to the control server;
the control server is used for receiving the command for opening the residence entrance guard of the resident sent by the time analysis module, controlling the residence entrance guard of the resident visited by the visitor in the building community to be opened, receiving the video talkback contact command sent by the time analysis module, carrying out video contact with the resident visited by the visitor and informing the visitor of opening the corresponding residence entrance guard.
Furthermore, the video acquisition module comprises a first high-definition camera, when a person enters the entrance guard area range of the building community, the first high-definition camera detects the face according to a detection method that the face has a certain structural distribution characteristic, dynamic target tracking is carried out on the detected face, and the face image of the person entering the entrance guard area of the building community is acquired.
Further, the image processing in the face image processing module is normalization processing, and is used for performing normalization processing on the face images of people entering a door forbidden area of a building community, converting the face images into the face images of the people in a fixed standard form, and performing filtering, noise reduction processing and enhancement processing on the converted face images of the people.
Further, the personnel image acquisition module comprises a plurality of second high-definition cameras, wherein the plurality of second high-definition cameras are respectively installed right above entrance guard areas of each unit building in the building community, and the personnel in the entrance guard areas of each unit building in the building community are subjected to image acquisition through the second high-definition cameras.
Further, the image segmentation processing technology is image segmentation processing, wherein the image segmentation processing is performed on each person image in a unit building door forbidden area where a resident who enters an access person visits, each person face feature area obtained by image segmentation is spliced, background images outside each person face feature area are removed, and the reserved images of each person face feature area are changed into the face images of the persons with the same size and without declination on the faces through normalization processing.
Further, the time calculation formula spent by the visitor in the process of going to the unit building where the corresponding resident is located is that Δ t is t2-t1Δ t represents the time spent by the visitor in going to the unit building where the corresponding resident is located, t2Expressed as the time, t, when the visitor enters the restricted zone of the unit building door where the corresponding resident is located1And the corresponding time when the building community access control is opened is represented.
Further, the face image acquisition module comprises a third high-definition camera, and when people enter a resident house entrance guard area range visited by visitors in a building community, the third high-definition camera acquires the face image according to a detection method that the face has certain structural distribution characteristics.
Further, the calculation formula of the time spent by the visitor from the opening of the entrance guard of the unit building to the visiting of the corresponding resident is Δ t ═ t4-t3And Δ t 'represents the time spent by the visitor from the opening of the entrance guard of the unit building to the visiting of the corresponding resident's house, t4Expressed as the time, t, at which the visitor enters the restricted zone of the resident door corresponding to the visit3And the corresponding time when the entrance guard of the unit building where the resident visited by the visitor is located is opened is expressed.
An intelligent video intercom monitoring method for intelligent buildings based on big data comprises the following steps:
s1, collecting the face images of people entering the door forbidden area of the building community, and processing the images;
s2, comparing and identifying the face processing images of the persons entering the door forbidden area of the building community, and collecting visiting information if the persons are visiting persons;
s3, screening video contact ways corresponding to residents visited by visitors, carrying out video contact, and controlling the entrance guard of the building community to be opened if the residents agree that the visitors enter the entrance guard of the building community;
s4, simultaneously acquiring images of each person in a unit building door forbidden area where a resident who enters the visit of an visitor is located, processing the images to obtain face images of each person, and performing image contrast identification;
s5, counting the time of the visitor entering the forbidden zone of the unit building door where the corresponding resident is located, and calculating the time spent by the visitor in the process of going to the unit building where the corresponding resident is located;
s6, if the effective time is less than or equal to the set effective time, opening the entrance guard of the corresponding unit building, if the effective time is more than the set effective time, performing video contact with the resident visited by the visitor again, and opening the entrance guard of the corresponding unit building after the resident agrees;
s7, simultaneously acquiring the face image in the forbidden area of the resident door visited by the visitor, and performing image contrast identification;
s8, counting the time of the visit personnel entering the corresponding resident door forbidden area, and calculating the time spent by the visit personnel from the opening of the unit building door forbidden area to the process of visiting the corresponding resident house;
and S9, if the time threshold is less than or equal to the set time threshold, opening the corresponding residence entrance guard of the visited resident, and if the time threshold is greater than the set time threshold, performing video contact with the resident visited by the visitor to inform the visitor of opening the corresponding residence entrance guard.
Has the beneficial effects that:
(1) the intelligent video talkback monitoring system and the talkback monitoring method for the intelligent building based on the big data provided by the invention have the advantages that the face images of the personnel entering the door forbidden area of the building community are collected and processed, so that the time and the task amount required by image analysis are reduced, the face processed images of the personnel entering the door forbidden area of the building community are simultaneously identified, if the personnel are visitors, the visiting information is collected, so that the problem of manual registration of managers is avoided, the workload of the managers is reduced, the human resource management cost of the building community is reduced, the personnel are in video contact with the corresponding visitors, and if the residents agree, the door forbidden of the building community is controlled to be opened, so that the entrance and exit efficiency of the door forbidden of the building community is improved, the intelligent video talkback function is realized, and the residents can timely know the visitor condition in the house, the problem that the resident misses important visitors is avoided.
(2) The method comprises the steps of identifying and counting the time of an visitor entering a unit building door forbidden area where a resident corresponding to the visitor is located by acquiring images of all persons entering the unit building door forbidden area where the resident corresponding to the visitor is located, calculating the time spent by the visitor in the process of visiting the unit building where the corresponding resident is located, opening a corresponding unit building door access control if the time is less than or equal to the set effective time, performing video contact with the resident visited by the visitor again if the time is more than the set effective time, and opening the corresponding unit building door access control after the resident agrees; meanwhile, the time of the visitor entering the corresponding resident door forbidden area is counted, the time spent by the visitor in the process of visiting the corresponding resident door from the opening of the unit building door forbidden area is calculated, if the time spent by the visitor in the process of visiting the corresponding resident door forbidden area is less than or equal to a set time threshold value, the corresponding resident door forbidden area is opened, and if the time spent by the visitor in the process of visiting the corresponding resident door forbidden area is greater than the set time threshold value, video contact is carried out with the resident visited by the visitor to inform the resident of opening the resident door forbidden area, so that uncertain factors in a building community are reduced, the safety in the building community is improved, and great convenience is brought to the management of the building community.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of a module connection structure according to the present invention;
FIG. 2 is a flow chart of the method steps of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the intelligent video intercom monitoring system for the smart building based on big data comprises a video acquisition module, a face image processing module, a face image recognition module, a visiting information recording module, a cloud database, a personnel image acquisition module, a personnel image processing module, a face image acquisition module, an analysis server, a time analysis module and a control server.
The human face image processing module is respectively connected with the video acquisition module and the human face image recognition module, the human face image recognition module is respectively connected with the cloud database, the visiting information recording module and the analysis server, the personnel image processing module is respectively connected with the personnel image acquisition module and the analysis server, the analysis server is respectively connected with the time analysis module, the control server and the human face image acquisition module, and the control server is respectively connected with the cloud database, the visiting information recording module and the time analysis module.
The video acquisition module comprises a first high-definition camera and is used for carrying out video acquisition on an entrance guard area of a building community, when personnel enter the entrance guard area of the building community, the first high-definition camera detects a face according to a detection method that the face has certain structural distribution characteristics, dynamic target tracking is carried out on the detected face, face images of the personnel entering the entrance guard area of the building community are acquired, and the face images of the personnel entering the entrance guard area of the building community are sent to the face image processing module.
The face image processing module is used for receiving the face images of the personnel entering the door forbidden area of the building community, sent by the video acquisition module, carrying out image processing on the received face images of the personnel entering the door forbidden area of the building community to obtain face processing images of the personnel entering the door forbidden area of the building community, and sending the face processing images of the personnel entering the door forbidden area of the building community to the face image recognition module.
The image processing in the human face image processing module is normalization processing and is used for normalizing the human face images of people entering a door forbidden area of a building community, converting the human face images into human face images in a fixed standard form, and performing filtering noise reduction processing and enhancement processing on the converted human face images, so that the time and the task amount required by image analysis are reduced.
The face image recognition module is used for receiving the face processing images of the persons entering the door forbidden area of the building community sent by the face image processing module, extracting the standard face images of the persons in the building community stored in the cloud database, comparing the face processing images of the persons entering the door forbidden area of the building community with the standard face images of the persons in the building community, counting the similarity between the face processing images of the persons entering the door forbidden area of the building community and the standard face images of the persons in the building community, and indicating that the persons entering the door forbidden area of the building community are visitors if the similarity between the face processing images of the persons entering the door forbidden area of the building community and the standard face images of the persons in the building community is smaller than a set similarity threshold value, and sending a visiting information acquisition instruction to a visiting information recording module, and simultaneously sending a face processing image of an visitor entering the entrance guard area of the building community to an analysis server.
The visiting information recording module is used for receiving the visiting information acquisition instruction sent by the face image recognition module, recording detailed resident information visited by visitors entering the building community entrance guard area through artificial intelligence inquiry, and sending the detailed resident information visited by visitors entering the building community entrance guard area to the control server, so that the problem of manual registration of managers is solved, the workload of the managers is reduced, and the human resource management cost of the building community is reduced.
The control server is used for connectingReceiving the detailed information of the resident visited by the visitor entering the building community entrance guard area sent by the visiting information recording module, extracting the video contact way corresponding to the detailed information of each resident in the building community stored in the cloud database, screening the video contact way corresponding to the resident visited by the visitor entering the building community entrance guard area, carrying out video contact on the visitor and the resident corresponding to the visit, and controlling the entrance guard of the building community to be opened if the resident agrees that the visitor enters the building community entrance guard, thereby improving the entrance guard access efficiency of the building community, realizing the intelligent video talkback function, enabling the resident to know the visiting condition in the house in time, avoiding the problem that the resident misses important visitors, recording the time corresponding to the entrance guard opening of the building community and recording the time as t1And sending the time corresponding to the opening of the entrance guard of the building cell to the analysis server.
The cloud database is used for storing standard face images of personnel of each resident in the building community and storing video contact information corresponding to detailed information of each resident in the building community.
The personnel image acquisition module comprises a plurality of second high-definition cameras, wherein the second high-definition cameras are respectively installed right above entrance guard areas of all unit buildings in a building district and used for acquiring images of entrance guard areas of the unit buildings where residents visited by visitors in the building district are located, images of personnel in entrance guard areas of the unit buildings where the residents visited by the visitors enter are obtained through the second high-definition cameras, images of the personnel in entrance guard areas of the unit buildings where the residents visited by the visitors enter are counted, and the images of the personnel in the entrance guard areas of the unit buildings where the residents visited by the visitors enter are sent to the personnel image processing module.
The personnel image processing module is used for receiving the images of all personnel in the unit building door forbidden area where the resident who accesses and visits, sent by the image acquisition module, processing the received images of all the personnel by adopting an image segmentation processing technology to obtain the face images of all the personnel in the unit building door forbidden area where the resident who accesses and visits, and sending the face images of all the personnel in the unit building door forbidden area where the resident who accesses and visits to the analysis server.
The image segmentation processing technology is image segmentation processing, wherein images of all persons in a unit building door forbidden area where residents entering visiting persons visit are located are segmented, image segmentation is carried out to obtain face feature areas of all persons, background images outside the face feature areas of all persons are removed, and images of the face feature areas of all persons which are reserved are changed into face images of all persons with the same size and without deflection angles on faces through normalization processing.
The analysis server is used for receiving the face processing image of the visitor entering the entrance guard area of the building community sent by the face image recognition module, receiving the corresponding time when the entrance guard of the building community is opened sent by the control server, receiving the face image of each person in the unit building door forbidden area where the resident entering the visit of the visitor is located sent by the person image processing module, comparing the face image of each person in the unit building door forbidden area where the resident entering the visit of the visitor is located with the face processing image of the visitor, if the face image of a person in the unit building door forbidden area where the resident entering the visit of the visitor is located is completely matched with the face processing image of the visitor, indicating that the person in the unit building door forbidden area where the resident entering the visit of the visitor is the visitor, and counting the time when the visitor enters the unit building door forbidden area where the corresponding resident is located, is denoted by t2Calculating the time delta t ═ t spent by the visitor in the process of going to the unit building where the corresponding resident is located2-t1Δ t represents the time spent by the visitor in going to the unit building where the corresponding resident is located, t2Expressed as the time, t, when the visitor enters the restricted zone of the unit building door where the corresponding resident is located1The time is expressed as the corresponding time when the building community access control is opened, and the time spent by the visitors in the process of going to and visiting the unit building where the corresponding resident is located is sent to the time analysis module.
The time analysis module is used for receiving the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located and sent by the analysis server, comparing the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located with the set effective time, and if the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located is less than or equal to the set effective time, sending a command of opening the unit building entrance guard to the control server; and if the time spent by the visitor in the process of visiting the unit building where the corresponding resident is located is longer than the set effective time, sending a video talkback contact instruction to the control server.
The control server is used for receiving the unit building entrance guard opening instruction sent by the time analysis module, controlling the entrance guard of the unit building where the resident visited by the visitor in the building cell is located to be opened, receiving the video talkback contact instruction sent by the time analysis module at the same time, performing video contact with the resident visited by the visitor again, controlling the entrance guard of the unit building where the resident visited by the visitor in the building cell is located to be opened if the resident agrees that the visitor enters the corresponding unit building entrance guard, recording the corresponding time when the entrance guard of the unit building where the resident visited by the visitor is located is opened, and recording the corresponding time as t3And sending the corresponding time when the entrance guard of the unit building where the resident visited by the visitor is located is opened to the analysis server.
The face image acquisition module comprises a third high-definition camera and is used for acquiring face images in a forbidden region of a resident door visited by visitors entering the building community, when the visitors enter the forbidden region of the resident door visited by the visitors in the building community, the third high-definition camera acquires the face images according to a detection method that the faces have certain structural distribution characteristics, acquires the face images in the forbidden region of the resident door visited by the visitors entering the building community, and sends the face images in the forbidden region of the resident door visited by the visitors entering the building community to the analysis server.
The analysis server is used for receiving the time which is sent by the control server and corresponds to the time when the entrance guard of the unit building where the resident visited by the visitor is located is opened, receiving the face image in the forbidden area of the resident where the visitor visits in the building cell and sent by the face image acquisition module, and enabling the visitor to enter the building cellComparing the face image in the forbidden zone of the resident door visited by the visitor with the face processing image of the visitor, if the face image in the forbidden zone of the resident door visited by the visitor entering the building community is completely matched with the face processing image of the visitor, indicating that the visitor corresponding to the face image in the forbidden zone of the resident door visited by the visitor entering the building community is the visitor, counting the time of the visitor entering the forbidden zone of the corresponding resident door, and recording as t4Calculating the time delta t't spent by the visitor in the process of visiting the corresponding resident house after the entrance guard of the unit building is opened4-t3And Δ t 'represents the time spent by the visitor from the opening of the entrance guard of the unit building to the visiting of the corresponding resident's house, t4Expressed as the time, t, at which the visitor enters the restricted zone of the resident door corresponding to the visit3The time is expressed as the corresponding time when the entrance guard of the unit building where the resident visited by the visitor is located is opened, and the time spent by the visitor from the opening of the entrance guard of the unit building to the process of visiting the corresponding resident house is sent to the time analysis module.
The time analysis module is used for receiving the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard, the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard is compared with a set time threshold, if the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard is less than or equal to the set time threshold, a command for opening the resident house entrance guard is sent to the control server, and if the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard is greater than the set time threshold, a video intercom contact command is sent to the control server.
The control server is used for receiving the command for opening the residence entrance guard of the resident sent by the time analysis module, controlling the residence entrance guard of the resident visited by the visitor in the building community to be opened, receiving the video talkback contact command sent by the time analysis module, carrying out video contact with the resident visited by the visitor and informing the visitor of opening the corresponding residence entrance guard, thereby reducing uncertain factors in the building community, improving the safety in the building community and bringing great convenience to the management of the building community.
Referring to fig. 2, a smart video intercom monitoring method for smart buildings based on big data includes the following steps:
s1, collecting the face images of people entering the door forbidden area of the building community, and processing the images;
s2, comparing and identifying the face processing images of the persons entering the forbidden area of the building community, and collecting the visiting information if the persons are visiting persons;
s3, screening video contact ways corresponding to residents visited by visitors, carrying out video contact, and controlling the entrance guard of the building community to be opened if the residents agree that the visitors enter the entrance guard of the building community;
s4, simultaneously acquiring images of each person in a unit building door forbidden area where a resident who enters the visit of an visitor is located, processing the images to obtain face images of each person, and performing image contrast identification;
s5, counting the time of the visitor entering the forbidden zone of the unit building door where the corresponding resident is located, and calculating the time spent by the visitor in the process of going to the unit building where the corresponding resident is located;
s6, if the effective time is less than or equal to the set effective time, opening the entrance guard of the corresponding unit building, if the effective time is more than the set effective time, performing video contact with the resident visited by the visitor again, and opening the entrance guard of the corresponding unit building after the resident agrees;
s7, simultaneously acquiring the face images of the residential door forbidden area visited by the visitor, and performing image contrast identification;
s8, counting the time of the visit staff entering the corresponding resident door forbidden area, and calculating the time spent by the visit staff from the opening of the unit building door forbidden area to the visiting of the corresponding resident house;
and S9, if the time is less than or equal to the set time threshold, opening the corresponding residence entrance guard of the visited resident, and if the time is greater than the set time threshold, performing video contact with the resident visited by the visitor to inform the visitor of opening the corresponding residence entrance guard.
The foregoing is illustrative and explanatory only of the present invention, and it is intended that the present invention cover modifications, additions, or substitutions by those skilled in the art, without departing from the spirit of the invention or exceeding the scope of the claims.
Claims (9)
1. The utility model provides a wisdom building intelligent video monitored control system that talkbacks based on big data which characterized in that: the system comprises a video acquisition module, a face image processing module, a face image recognition module, a visiting information recording module, a cloud database, a personnel image acquisition module, a personnel image processing module, a face image acquisition module, an analysis server, a time analysis module and a control server;
the system comprises a video acquisition module, a human face image processing module, a personnel image acquisition module, a human face image processing module, a human face image acquisition module, a human face image processing module, a human face image acquisition module and a human face image acquisition module, wherein the human face image processing module is connected with the cloud database, the visiting information recording module and the human face image acquisition module;
the video acquisition module is used for carrying out video acquisition on the entrance guard area of the building community, acquiring the face images of people entering the entrance guard area of the building community and sending the face images of the people entering the entrance guard area of the building community to the face image processing module;
the face image processing module is used for receiving the face images of the persons entering the door forbidden area of the building community, sent by the video acquisition module, carrying out image processing on the received face images of the persons entering the door forbidden area of the building community to obtain face processing images of the persons entering the door forbidden area of the building community, and sending the face processing images of the persons entering the door forbidden area of the building community to the face image recognition module;
the face image recognition module is used for receiving a face processing image of a person entering a door forbidden area of a building community, which is sent by the face image processing module, extracting a standard face image of each resident person in the building community, which is stored in a cloud database, comparing the face processing image of the person entering the door forbidden area of the building community with the standard face image of each resident person, counting the similarity between the face processing image of the person entering the door forbidden area of the building community and the standard face image of each resident person, and indicating that the person entering the door forbidden area of the building community is an visitor if the similarity between the face processing image of the person entering the door forbidden area of the building community and the standard face image of each resident person is smaller than a set similarity threshold value, sending a visiting information acquisition instruction to a visiting information recording module, and simultaneously sending a face processing image of an visitor entering an entrance guard area of the building community to an analysis server;
the visiting information recording module is used for receiving a visiting information acquisition instruction sent by the face image recognition module, recording resident detailed information visited by visitors entering the building community access control area through artificial intelligence inquiry, and sending the resident detailed information visited by the visitors entering the building community access control area to the control server;
the control server is used for receiving the detailed information of the residents visited by the visitors entering the building community entrance guard area sent by the visiting information recording module, extracting the video contact way corresponding to the detailed information of the residents in the building community stored in the cloud database, screening the video contact way corresponding to the residents visited by the visitors entering the building community entrance guard area, carrying out video contact on the visitors and the corresponding residents visited, controlling the entrance guard of the building community to be opened if the resident agrees that the visitors enter the building community entrance guard, recording the corresponding time when the entrance guard of the building community is opened, and recording the time as t1Sending the time corresponding to the opening of the entrance guard of the building cell to an analysis server;
the cloud database is used for storing standard face images of personnel of each resident in the building community and storing video contact information corresponding to detailed information of each resident in the building community;
the personnel image acquisition module is used for acquiring images of the entrance guard area of the unit building where the resident visited by the visitor in the building community is located, acquiring images of all personnel in the entrance guard area of the unit building where the resident visited by the visitor is located, counting the images of all personnel in the entrance guard area of the unit building where the resident visited by the visitor is located, and sending the images of all personnel in the entrance guard area of the unit building where the resident visited by the visitor is located to the personnel image processing module;
the personnel image processing module is used for receiving images of all personnel in a unit building door forbidden region where a resident who enters the visit of the visit personnel and is sent by the image acquisition module, processing the received images of all personnel by adopting an image segmentation processing technology to obtain images of all personnel faces in a unit building door forbidden region where the resident who enters the visit personnel and is located, and sending the images of all personnel faces in the unit building door forbidden region where the resident who enters the visit personnel and is visited to the analysis server;
the analysis server is used for receiving the face processing image of the visitor entering the entrance guard area of the building community sent by the face image recognition module, receiving the corresponding time when the entrance guard of the building community is opened sent by the control server, receiving the face image of each person in the unit building door forbidden area where the resident entering the visit of the visitor is located sent by the person image processing module, comparing the face image of each person in the unit building door forbidden area where the resident entering the visit of the visitor is located with the face processing image of the visitor, if the face image of a person in the unit building door forbidden area where the resident entering the visit of the visitor is located is completely matched with the face processing image of the visitor, indicating that the person in the unit building door forbidden area where the resident entering the visit of the visitor is the visitor, and counting the time when the visitor enters the unit building door forbidden area where the corresponding resident is located, is denoted by t2Calculating the time spent by the visitor in the process of going to and visiting the unit building of the corresponding resident, and sending the time spent by the visitor in the process of going to and visiting the unit building of the corresponding residentTo a time analysis module;
the time analysis module is used for receiving the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located and sent by the analysis server, comparing the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located with the set effective time, and if the time spent by the visitor in the process of going to and visiting the unit building where the corresponding resident is located is less than or equal to the set effective time, sending a command of opening the unit building entrance guard to the control server; if the time spent by the visitor in the process of visiting the unit building where the corresponding resident is located is longer than the set effective time, sending a video talkback contact instruction to the control server;
the control server is used for receiving the unit building entrance guard opening instruction sent by the time analysis module, controlling the entrance guard of the unit building where the resident visited by the visitor in the building cell is located to be opened, receiving the video talkback contact instruction sent by the time analysis module at the same time, performing video contact with the resident visited by the visitor again, controlling the entrance guard of the unit building where the resident visited by the visitor in the building cell is located to be opened if the resident agrees that the visitor enters the corresponding unit building entrance guard, recording the corresponding time when the entrance guard of the unit building where the resident visited by the visitor is located is opened, and recording the corresponding time as t3Sending the corresponding time when the entrance guard of the unit building where the resident visited by the visitor is located is opened to the analysis server;
the face image acquisition module is used for acquiring a face image in a resident door forbidden area visited by an visitor entering a building cell, acquiring a face image in a resident door forbidden area visited by the visitor entering the building cell, and sending the face image in the resident door forbidden area visited by the visitor entering the building cell to the analysis server;
the analysis server is used for receiving the time which is sent by the control server and corresponds to the time when the entrance guard of the unit building where the resident visited by the visitor is located is opened, receiving the face image in the forbidden area of the resident where the visitor visits and enters the building community and is sent by the face image acquisition module, and entering the building community to visitComparing the face image in the resident door forbidden area visited by the visitor with the face processing image of the visitor, if the face image in the resident door forbidden area visited by the visitor entering the building community is completely matched with the face processing image of the visitor, indicating that the visitor corresponding to the face image in the resident door forbidden area visited by the visitor entering the building community is the visitor, counting the time of the visitor entering the resident door forbidden area corresponding to the visitor, and recording the time as t4Calculating the time spent in the process of visiting the corresponding resident house after the visitor starts the unit building entrance guard, and sending the time spent in the process of visiting the corresponding resident house after the visitor starts the unit building entrance guard to the time analysis module;
the time analysis module is used for receiving the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard, comparing the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard with a set time threshold, if the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard is less than or equal to the set time threshold, sending an instruction for opening the resident house to the control server, and if the time spent by the visitor in the process of visiting the corresponding resident house from the opening of the unit building entrance guard is greater than the set time threshold, sending a video intercom contact instruction to the control server;
the control server is used for receiving the command for opening the residence entrance guard of the resident sent by the time analysis module, controlling the residence entrance guard of the resident visited by the visitor in the building community to be opened, receiving the video talkback contact command sent by the time analysis module, carrying out video contact with the resident visited by the visitor and informing the visitor of opening the corresponding residence entrance guard.
2. The intelligent video intercom monitoring system for intelligent buildings based on big data as claimed in claim 1, wherein: the video acquisition module comprises a first high-definition camera, when personnel enter the entrance guard area range of the building community, the first high-definition camera detects the face according to a detection method that the face has certain structural distribution characteristics, dynamic target tracking is carried out on the detected face, and the face image of the personnel entering the entrance guard area of the building community is acquired.
3. The intelligent video intercom monitoring system for intelligent buildings based on big data as claimed in claim 1, wherein: the image processing in the human face image processing module is normalization processing and is used for normalizing the human face images of people entering a door forbidden area of a building community, converting the human face images into human face images in a fixed standard form, and filtering, denoising and enhancing the converted human face images.
4. The intelligent video intercom monitoring system for intelligent buildings based on big data as claimed in claim 1, wherein: the personnel image acquisition module comprises a plurality of second high-definition cameras, wherein the second high-definition cameras are respectively installed right above entrance guard areas of all units in the building community, and personnel in the entrance guard areas of all units in the building community are subjected to image acquisition through the second high-definition cameras.
5. The intelligent video intercom monitoring system for intelligent buildings based on big data as claimed in claim 1, wherein: the image segmentation processing technology is image segmentation processing, wherein images of all persons in a unit building door forbidden area where residents entering visiting persons visit are located are segmented, image segmentation is carried out to obtain face feature areas of all persons, background images outside the face feature areas of all persons are removed, and images of the face feature areas of all persons which are reserved are changed into face images of all persons with the same size and without deflection angles on faces through normalization processing.
6. The intelligent video intercom monitoring system for intelligent building based on big data as claimed in claim 1, wherein: the visitor is atThe time spent in the process of going to and visiting the unit building of the corresponding resident is calculated by the formula of t2-t1Δ t represents the time spent by the visitor in going to the unit building where the corresponding resident is located, t2Expressed as the time, t, when the visitor enters the restricted zone of the unit building door where the corresponding resident is located1And the time is expressed as the corresponding time when the entrance guard of the building community is opened.
7. The intelligent video intercom monitoring system for intelligent buildings based on big data as claimed in claim 1, wherein: the face image acquisition module comprises a third high-definition camera, and when a person enters an entrance guard area range of a resident residence visited by an visitor in a building community, the third high-definition camera acquires a face image according to a detection method that the face has certain structural distribution characteristics.
8. The intelligent video intercom monitoring system for intelligent buildings based on big data as claimed in claim 1, wherein: the time calculation formula spent in the process of visiting the corresponding resident house after the visitor starts the entrance guard of the unit building is delta t ═ t4-t3And Δ t 'represents the time spent by the visitor from the opening of the entrance guard of the unit building to the visiting of the corresponding resident's house, t4Expressed as the time, t, at which the visitor enters the restricted zone of the resident door corresponding to the visit3And the corresponding time when the entrance guard of the unit building where the resident visited by the visitor is located is opened is expressed.
9. An intelligent video talkback monitoring method for intelligent buildings based on big data, which is completed by the intelligent video talkback monitoring system for intelligent buildings based on big data as claimed in claim 1, and is characterized in that: the method comprises the following steps:
s1, collecting the face images of people entering the door forbidden area of the building community, and processing the images;
s2, comparing and identifying the face processing images of the persons entering the door forbidden area of the building community, and collecting visiting information if the persons are visiting persons;
s3, screening video contact ways corresponding to residents visited by visitors, carrying out video contact, and controlling the entrance guard of the building community to be opened if the residents agree that the visitors enter the entrance guard of the building community;
s4, simultaneously acquiring images of each person in a unit building door forbidden area where a resident who visits an visitor is located, processing the images to obtain face images of each person, and performing image comparison identification;
s5, counting the time of the visitor entering the forbidden zone of the unit building door where the corresponding resident is located, and calculating the time spent by the visitor in the process of going to the unit building where the corresponding resident is located;
s6, if the effective time is less than or equal to the set effective time, opening the entrance guard of the corresponding unit building, if the effective time is more than the set effective time, performing video contact with the resident visited by the visitor again, and opening the entrance guard of the corresponding unit building after the resident agrees;
s7, simultaneously acquiring the face images of the residential door forbidden area visited by the visitor, and performing image contrast identification;
s8, counting the time of the visit staff entering the corresponding resident door forbidden area, and calculating the time spent by the visit staff from the opening of the unit building door forbidden area to the visiting of the corresponding resident house;
and S9, if the time threshold is less than or equal to the set time threshold, opening the corresponding residence entrance guard of the visited resident, and if the time threshold is greater than the set time threshold, performing video contact with the resident visited by the visitor to inform the visitor of opening the corresponding residence entrance guard.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106710032A (en) * | 2015-11-13 | 2017-05-24 | 北京奇虎科技有限公司 | Entrance guard opening method and device |
| CN108122314A (en) * | 2017-12-14 | 2018-06-05 | 深圳市天和荣科技有限公司 | A kind of doorbell call processing method, Cloud Server, medium and system |
| CN112349016A (en) * | 2020-11-04 | 2021-02-09 | 合肥集知云信息科技有限公司 | Intelligent access control system based on big data analysis |
Family Cites Families (3)
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| KR102322029B1 (en) * | 2015-03-27 | 2021-11-04 | 삼성전자주식회사 | Method and Apparatus for acquiring a biometric information |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108122314A (en) * | 2017-12-14 | 2018-06-05 | 深圳市天和荣科技有限公司 | A kind of doorbell call processing method, Cloud Server, medium and system |
| CN112349016A (en) * | 2020-11-04 | 2021-02-09 | 合肥集知云信息科技有限公司 | Intelligent access control system based on big data analysis |
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