CN111028473A - Campus safety monitoring linkage identification system - Google Patents
Campus safety monitoring linkage identification system Download PDFInfo
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- CN111028473A CN111028473A CN201911328636.8A CN201911328636A CN111028473A CN 111028473 A CN111028473 A CN 111028473A CN 201911328636 A CN201911328636 A CN 201911328636A CN 111028473 A CN111028473 A CN 111028473A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0208—Combination with audio or video communication, e.g. combination with "baby phone" function
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0261—System arrangements wherein the object is to detect trespassing over a fixed physical boundary, e.g. the end of a garden
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Abstract
The invention belongs to the technical field of campus security systems, and particularly provides a campus security monitoring linkage recognition system, which comprises: the acquisition terminal is used for acquiring and transmitting image data in the campus; the student terminal is used for collecting and sending positioning data of students; the police terminal is used for knowing the monitoring condition; the processing end stores the coordinates of the acquisition end; the processing terminal is further used for receiving data sent by the acquisition terminal and the student terminal, analyzing and processing the received image data, acquiring coordinates of a dangerous area through the number of the acquisition terminal when an analysis result is abnormal, sending an alarm signal to the student terminal in an X-meter range of the dangerous area, and sending an on-duty signal to the police terminal. Compared with the prior art, the system has the advantages that before security personnel arrive at the dangerous area, students near the dangerous area can timely know the situation and then take preventive measures, and the risk that the students are injured can be reduced.
Description
Technical Field
The invention belongs to the technical field of campus security systems, and particularly relates to a campus security monitoring linkage recognition system.
Background
The school safety work is an important component of the safety work of the whole society. It is directly related to whether teenagers can grow safely and healthily, and to the happiness peace and social stability of tens of millions of families.
At present, the mainstream campus safety system still stays in the aspect of monitoring, namely, cameras are installed in all areas of the campus, real-time pictures in the campus are collected through the cameras and then sent to a monitoring room, and monitoring personnel or security personnel monitor the campus in the monitoring room. By adopting the mode, on one hand, the attention of monitoring personnel is highly concentrated, and on the other hand, the monitoring personnel is required to pay attention to pictures transmitted by a plurality of cameras, so that the energy consumption of the monitoring personnel is very large. Moreover, most of the time, the campus is in a safe state, but monitoring personnel still need to monitor the campus constantly, so that safety accidents are prevented and the campus cannot be noticed timely.
In view of the above situation, chinese patent CN107134112A provides a multi-directional security monitoring system for a campus. This system carries the hazardous articles and controls the apparatus and monitor to lawless persons through the camera of different functions, and the while database contrasts analysis and judgement, carries out automatic alarm, and relevant personnel react one step in advance, kills school's criminal in the cradle, has strengthened campus security protection control system to realize diversified control, police strength and campus guard linkage have ensured campus student's safety more, let lawless persons inorganic can take advantage of.
According to the method, the dangerous persons and the dangerous devices entering the campus are identified in an image identification and image comparison mode, and an alarm is given out after the dangerous persons or the dangerous devices are identified. Through such a mode, security personnel only need in time after receiving alarm signal to present dangerous control and eliminate can, not only can save security personnel's energy, because the technique of image identification and image comparison is very mature, also has the assurance to the accuracy of dangerous personage or dangerous goods discernment.
However, after the above patent determines the dangerous situation, the dangerous person still has a long time to implement the illegal action before the security personnel arrive at the area where the dangerous person is, and in this case, the degree of danger faced by the students near the dangerous person is still high.
Disclosure of Invention
The invention provides a campus safety monitoring linkage identification system, aiming at the problem that after the prior art judges a dangerous condition, before security personnel arrive at a dangerous area, the dangerous personnel still have a longer time to implement illegal behaviors.
The basic scheme provided by the invention is as follows:
campus safety monitoring linkage identification system includes:
the system comprises a plurality of acquisition ends, a server and a server, wherein the acquisition ends are used for acquiring and transmitting image data in a campus;
the student terminals are used for collecting and sending positioning data of students, the number of the student terminals is multiple, and each student terminal has a unique number;
the police terminal is used for checking the image data of the acquisition terminal;
the processing end is internally stored with the coordinates of the acquisition end and the corresponding relation between the serial number of the acquisition end and the coordinates;
the processing terminal is also used for receiving data sent by the acquisition terminal and the student terminal, analyzing and processing the received image data, acquiring coordinates of a dangerous area through the number of the acquisition terminal when an analysis result is abnormal, sending an alarm signal to the student terminal in the X-meter range of the dangerous area, and sending an on-duty signal to the police terminal;
the student end is also used for receiving the alarm signal sent by the processing end; the police terminal is also used for receiving the duty signal.
Basic scheme theory of operation and beneficial effect:
the acquisition end acquires image data in a campus and sends the image data to the processing end, the student end acquires positioning data of students and sends the positioning data to the processing end, and the processing end receives the data sent by the acquisition end and the student end.
And then, the processing end analyzes the received image data, and when the analysis result is abnormal, the processing end indicates that the campus has potential danger. At this time, the processing end can match the corresponding coordinates of the acquisition end according to the acquisition end which sends the image data, and then the coordinates of the dangerous area can be obtained by combining the position of the abnormal situation in the image. In this way, the hazardous area can be locked.
Then, the processing end sends an alarm signal to the student end within X meters of the dangerous area, and after the student end receives the alarm signal, certain precautionary measures can be taken to improve the surrounding vigilance or accompany with nearby students, so that the risk of injury of the student end is reduced.
Compared with the prior art, after the dangerous condition is judged, the students near the dangerous area can know the condition in time and take preventive measures before security personnel arrive at the dangerous area, and the risk that the students are injured can be reduced.
Further, the processing end comprises a receiving module, a storage module, an analysis module and an alarm module;
the receiving module is used for receiving data sent by the acquisition end and the student end;
the storage module is internally stored with the coordinates of the acquisition end and the corresponding relation between the serial number of the acquisition end and the coordinates;
the analysis module is used for analyzing and processing the received image data, acquiring the coordinates of the dangerous area through the number of the acquisition end when the analysis result is abnormal, and acquiring the student number of the positioning data in the X-meter range of the dangerous area; the analysis module is also used for predicting and correcting the moving direction of the dangerous person according to the received image data;
and the alarm module is used for sending an alarm signal to a student end in the X-meter range of the dangerous area and sending a duty signal to a police end when the analysis result is abnormal, wherein the duty signal comprises the current position and the predicted moving direction of a dangerous person.
Thus, the duty signal received by the police officer includes not only the current position of the dangerous person but also the predicted moving direction. After receiving the on-duty signal, the police officer can more pertinently distribute the hands of the officer to block the moving route of the dangerous person, so that the effect of enclosure tracing and interception is achieved.
Further, the analysis module analyzes the image data by using a preset model, wherein the preset model is a convolutional neural network model, and the model is trained by using image data of campus fighting, campus deception and knife control instruments as training data.
Compared with other models, the technology of the convolutional neural network in the aspect of image recognition processing is more mature and stable, and therefore when the hidden danger of campus safety accidents exists, the analysis module can quickly draw a conclusion.
Further, the electronic lock is arranged on a door of a student dormitory; when the analysis result of the analysis module is abnormal, the alarm module sends a locking signal to the electronic lock; the electronic lock receives the locking signal and then carries out self-locking; the student end is also used for unlocking the electronic lock when the electronic lock enters a self-locking state.
After the electronic lock is locked by self, students can enter a dormitory by using the student end, so that dangerous persons can be prevented from entering the dormitory, and large-scale injury events are prevented.
Further, the storage module stores student information and the corresponding relation between the student end number and the student information.
When the movement of a student needs to be known, the required information can be quickly obtained through the positioning and numbering of the student end of the student.
Furthermore, the police terminal comprises a duty receiving module, a checking module and an alarming module; the duty receiving module is used for receiving a duty signal sent by the alarm module; the checking module is used for checking the received duty signal, and the alarming module is used for alarming.
After security personnel in campus received the signal on duty through police service end, can judge dangerous situation according to the actual condition, when the judgement condition is comparatively critical, when needs police strength help, accessible alarm module accomplished the warning fast.
Furthermore, the police terminal also comprises a reminding module which is used for sending out a reminding when receiving the on-duty signal.
Ensure that the security personnel can notice the on-duty signal in time.
Furthermore, the reminding mode of the reminding module is voice and words.
The voice has strong stimulation and the characters are convenient for accurately knowing the information.
Furthermore, the student end is an intelligent chest card.
Compared with equipment such as a campus card and the like, when the alarm signal is received, the intelligent chest card has a better prompt effect and can attract the attention of students; and because the intelligent chest card is worn on the neck, the intelligent chest card is more difficult to lose.
Drawings
Fig. 1 is a logic block diagram of a first embodiment of the campus security monitoring and linkage identification system according to the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, the campus security monitoring linkage identification system includes an acquisition end, a student end, a processing end and a police end.
In this embodiment, the collection end is the panorama camera, and the collection end is through wired broadband and processing end communication, and the collection end has a plurality ofly, and every collection end all has unique serial number. The acquisition end is used for acquiring image data in a campus and sending the image data to the processing end.
Student holds for intelligent chest card, and this intelligence chest card can regard as school's tablet to use usually, and student holds and communicates through 5G module and processing end, and every student holds all has the serial number of oneself, and this serial number is the same with the school number that corresponds the student.
The student end is used for gathering student's location data and sending for the processing end, still is used for receiving the alarm signal that the processing end sent to send pronunciation and flash of light warning after receiving alarm signal.
The processing end is a flight communication cloud server and comprises a receiving module, a storage module, an analysis module and an alarm module.
The receiving module is used for receiving data sent by the acquisition end and the student end.
The storage module is internally stored with the coordinates of each acquisition end and the corresponding relation between the serial number of the acquisition end and the coordinates; the storage module is also internally stored with student information and the corresponding relation between the student end number and the student information. The student information includes the name, gender, class, school number and guardian contact information of the student.
The analysis module analyzes and processes the received image data, and when the analysis result is abnormal, the coordinates of the dangerous area are obtained through the number of the acquisition end, and meanwhile, the numbers of students with positioning data within the X-meter range of the dangerous area are obtained; in this embodiment, the analysis module analyzes the image data with a preset model, wherein the preset model is a convolutional neural network model, and the model is trained with image data of campus fighting, campus deception and knife control instruments as training data. Compared with other models, the convolutional neural network is more mature and stable in the aspect of image recognition processing.
The analysis module is also used for predicting and correcting the moving direction of the dangerous person according to the received image data.
And the alarm module is used for sending an alarm signal to a student end in the X-meter range of the dangerous area and sending a duty signal to a police end when the analysis result is abnormal, wherein the duty signal comprises the current position and the predicted moving direction of a dangerous person. The specific value of X can be specifically set by those skilled in the art according to the size of the school scale.
Police service end is for loading the smart mobile phone that corresponds the APP, and police service end passes through 5G module and handles the end communication. The police terminal comprises a duty receiving module, a checking module, an alarming module and a reminding module.
The duty receiving module is used for receiving a duty signal sent by the alarm module; the checking module is used for checking the received duty signal, and the alarming module is used for alarming. The reminding module is used for sending out a reminding when receiving the on-duty signal, and in the embodiment, the reminding mode is voice and text.
The specific implementation process comprises the following steps:
the acquisition end acquires image data in a campus and sends the image data to the processing end, the student end acquires positioning data of students and sends the positioning data to the processing end, and the processing end receives the data sent by the acquisition end and the student end.
And then, the processing end analyzes the received image data, and when the analysis result is abnormal, the processing end indicates that the campus has potential danger. At this time, the processing end can match the corresponding coordinates of the acquisition end according to the acquisition end which sends the image data, and then the coordinates of the dangerous area can be obtained by combining the position of the abnormal situation in the image. In this way, the hazardous area can be locked.
Then, the processing end sends an alarm signal to the student end within X meters of the dangerous area, and after the student end receives the alarm signal, certain precautionary measures can be taken to improve the surrounding vigilance or accompany with nearby students, so that the risk of injury of the student end is reduced.
After security personnel in campus received the signal on duty through police service end, can judge danger degree according to actual conditions, when the judgement condition is comparatively critical, when needs police strength help, accessible alarm module accomplished the warning fast.
The duty signal received by the police officer not only comprises the current position of the dangerous person, but also comprises the predicted moving direction. After receiving the on-duty signal, the police officer can more pertinently distribute the hands of the officer to block the moving route of the dangerous person, so that the effect of enclosure tracing and interception is achieved.
Compared with the prior art, after the dangerous condition is judged, the students near the dangerous area can know the condition in time and take preventive measures before security personnel arrive at the dangerous area, and the risk that the students are injured can be reduced.
Example two
Different from the first embodiment, the present embodiment further includes an intelligent lock, and the intelligent lock is installed on the student dormitory gate. When the analysis result of the analysis module is abnormal, the alarm module sends a locking signal to the electronic lock; the electronic lock performs self-locking after receiving the locking signal. The student end is also used for unlocking the electronic lock when the electronic lock enters a self-locking state.
When the abnormal condition is analyzed by the processing terminal, a self-locking signal is sent to the electronic lock, so that the electronic lock enters a self-locking state. After the electronic lock is locked, students can enter a dormitory by using the student end, dangerous figures can be prevented from entering the dormitory, and further large-scale injury events are prevented.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (9)
1. Campus safety monitoring linkage identification system, its characterized in that includes:
the system comprises a plurality of acquisition ends, a server and a server, wherein the acquisition ends are used for acquiring and transmitting image data in a campus;
the student terminals are used for collecting and sending positioning data of students, the number of the student terminals is multiple, and each student terminal has a unique number;
the police terminal is used for checking the image data of the acquisition terminal;
the processing end is internally stored with the coordinates of the acquisition end and the corresponding relation between the serial number of the acquisition end and the coordinates;
the processing terminal is also used for receiving data sent by the acquisition terminal and the student terminal, analyzing and processing the received image data, acquiring coordinates of a dangerous area through the number of the acquisition terminal when an analysis result is abnormal, sending an alarm signal to the student terminal in the X-meter range of the dangerous area, and sending an on-duty signal to the police terminal;
the student end is also used for receiving the alarm signal sent by the processing end; the police terminal is also used for receiving the duty signal.
2. The campus security monitoring coordinated recognition system of claim 1, wherein: the processing end comprises a receiving module, a storage module, an analysis module and an alarm module;
the receiving module is used for receiving data sent by the acquisition end and the student end;
the storage module is internally stored with the coordinates of the acquisition end and the corresponding relation between the serial number of the acquisition end and the coordinates;
the analysis module is used for analyzing and processing the received image data, acquiring the coordinates of the dangerous area through the number of the acquisition end when the analysis result is abnormal, and acquiring the student number of the positioning data in the X-meter range of the dangerous area; the analysis module is also used for predicting and correcting the moving direction of the dangerous person according to the received image data;
and the alarm module is used for sending an alarm signal to a student end in the X-meter range of the dangerous area and sending a duty signal to a police end when the analysis result is abnormal, wherein the duty signal comprises the current position and the predicted moving direction of a dangerous person.
3. The campus security monitoring coordinated recognition system of claim 2, wherein: the analysis module analyzes the image data by using a preset model, wherein the preset model is a convolutional neural network model, and the model is trained by using image data of campus fighting, campus deceiving and knife control instruments as training data.
4. The campus security monitoring coordinated recognition system of claim 2, wherein: the electronic lock is arranged on a student dormitory gate; when the analysis result of the analysis module is abnormal, the alarm module sends a locking signal to the electronic lock; the electronic lock receives the locking signal and then carries out self-locking; the student end is also used for unlocking the electronic lock when the electronic lock enters a self-locking state.
5. The campus security monitoring coordinated recognition system of claim 2, wherein: the storage module also stores student information and the corresponding relation between the student end number and the student information.
6. The campus security monitoring coordinated recognition system of claim 1, wherein: the police terminal comprises a duty receiving module, a checking module and an alarm module; the duty receiving module is used for receiving a duty signal sent by the alarm module; the checking module is used for checking the received duty signal, and the alarming module is used for alarming.
7. The campus security monitoring coordinated recognition system of claim 6, wherein: the police terminal also comprises a reminding module which is used for sending out a reminding when receiving the on-duty signal.
8. The campus security monitoring coordinated recognition system of claim 7, wherein: the reminding mode of the reminding module is voice and words.
9. The campus security monitoring coordinated recognition system of claim 1, wherein: the student end is an intelligent chest card.
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| CN201911328636.8A CN111028473B (en) | 2019-12-20 | 2019-12-20 | Campus safety monitoring linkage identification system |
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| CN111786463A (en) * | 2020-07-21 | 2020-10-16 | 南京智金科技创新服务中心 | Electric power energy-saving monitoring control system |
| CN112131283A (en) * | 2020-09-30 | 2020-12-25 | 重庆市海普软件产业有限公司 | Intelligent acquisition system capable of being flexibly expanded |
| CN113034762A (en) * | 2021-03-18 | 2021-06-25 | 福建省擎衣卫智能科技有限公司 | Security protection three-dimensional linkage monitoring system based on wisdom thing networking |
| CN113189276A (en) * | 2021-04-30 | 2021-07-30 | 重庆天智慧启科技有限公司 | Intelligent environment monitoring system |
| CN113793441A (en) * | 2021-11-17 | 2021-12-14 | 兰和科技（深圳）有限公司 | Campus visitor safety analysis system based on thing networking |
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