CN112822252A - Internet of things intelligent industrial door control method based on biological feature recognition - Google Patents
Internet of things intelligent industrial door control method based on biological feature recognition Download PDFInfo
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- CN112822252A CN112822252A CN202011637880.5A CN202011637880A CN112822252A CN 112822252 A CN112822252 A CN 112822252A CN 202011637880 A CN202011637880 A CN 202011637880A CN 112822252 A CN112822252 A CN 112822252A
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000004891 communication Methods 0.000 claims abstract description 13
- 210000003462 vein Anatomy 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 6
- 206010063385 Intellectualisation Diseases 0.000 abstract description 3
- 230000036626 alertness Effects 0.000 abstract description 3
- 238000004134 energy conservation Methods 0.000 abstract description 3
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000007306 turnover Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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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
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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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
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
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- Human Computer Interaction (AREA)
- Lock And Its Accessories (AREA)
Abstract
The invention discloses an Internet of things intelligent industrial door control method based on biological feature recognition, which can intelligently realize the entrance guard management of an industrial door and effectively improve the safety and the intellectualization. The system comprises a computer control module, a face recognition module, a fingerprint recognition module, an iris recognition module, a wireless communication module and an industrial door driving module. The data can be recorded and recorded for the information which is tried to be illegally entered, and the safety is greatly improved. In addition, an intelligent infrared recognition module and an intelligent voice recognition module are additionally arranged, so that the work energy conservation of the whole system and the collection of necessary alertness data are necessary and clear. When looking up camera information data in the later stage, can not look up for the full time, can carry out key collection to unusual picture and sound and look up.
Description
Technical Field
The invention relates to a method for controlling an intelligent industrial door of an internet of things based on biological feature recognition.
Background
The current development trend tends to be energy-saving, intelligent and intelligent. For industrial doors, the production and manufacture thereof are increasingly more advanced and more automated. However, in the industrial door itself, the 5G era has come, the intelligent interconnection of the industrial door can be realized, the development trend of the industrial door is more favorable, and the demand of people for the intelligent industrial door is increasing in a well-spraying manner in terms of social development, so that the development of the internet of things and the intelligent industrial door is particularly important.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the prior art, the invention provides the method for controlling the intelligent industrial door of the internet of things based on biological feature recognition, so that the access control management of the industrial door can be intelligently realized, and the safety and the intelligence are effectively improved.
The technical scheme is as follows: in order to achieve the purpose, the invention provides a method for controlling an internet of things intelligent industrial door based on biological feature recognition, which is characterized by comprising the following steps: the system comprises a computer control module, a face recognition module, a fingerprint recognition module, an iris recognition module, a wireless communication module and an industrial door driving module, wherein the signal output ends of the face recognition module, the fingerprint recognition module and the iris recognition module are connected with the signal input end of the computer control module, the signal output end of the computer control module is connected with the industrial door driving module, and the signal output end of the industrial door driving module is in data transmission connection with a cloud server through the wireless communication module;
the method is characterized by comprising the following steps:
step 1) inputting biological characteristics in a computer control module, establishing a database, and connecting the database with a cloud server;
step 2) any one of the face recognition module, the fingerprint recognition module and the iris recognition module recognizes that the biological characteristics accord with the input information, and the computer control module controls the industrial driving module to open the entrance guard; if any identification biological characteristics of the face identification module, the fingerprint identification module and the iris identification module are not in accordance, the computer control module controls the alarm module to give an alarm;
step 3) any identification biological characteristics of the face identification module, the fingerprint identification module and the iris identification module are continuously not met for N times in different time intervals M;
according to the first condition: m is more than 0 and less than 30 seconds, N is less than 5 times, and the alarm module prompts an alarm;
the condition two is met: m is more than 0 and less than 30 seconds, N is more than 5 times, and the alarm module prompts an alarm;
the face recognition module, the fingerprint recognition module and the iris recognition module upload the recognized biological characteristic data to a cloud server for data recording;
meanwhile, the wireless communication module establishes a data communication relation with the mobile terminal and gives an alarm;
and a camera shooting unit module is arranged on the door positioned on the industrial door.
The palm vein recognition device further comprises a palm vein recognition module, and the signal output end of the palm vein recognition module is connected with the signal input end of the computer control module.
The data information collected by the face recognition module, the fingerprint recognition module and the iris recognition module is converted into information to be recognized, the information to be recognized is transmitted to the computer control module to be compared with the data information, and if the information to be recognized is consistent with the preset data information, the entrance guard is unlocked.
Be provided with infrared identification module apart from entrance guard the place ahead, when infrared identification module discernment motion is close, infrared identification module's data transmission to computer control module opens the camera unit module through computer control module, records image data in advance.
The system comprises a voice recognition module, a camera shooting unit module and a voice recognition module, wherein the camera shooting unit module is started according to the distance range of a sound source position; the sound recognition module transmits the position information to the computer control module according to the sound source position, and the computer control module controls the camera shooting unit module to shoot the sound source position for focusing.
Has the advantages that: the invention provides an Internet of things intelligent industrial door control method based on biological feature recognition, which can intelligently realize the entrance guard management of an industrial door and effectively improve the safety and the intellectualization. Intelligent business turn over can be realized through face identification module, fingerprint identification module, iris identification module, palm vein identification module, can compare in addition its data and type, can carry out data record and record to the information of wanting to try illegal entering, and the security improves greatly. In addition, an intelligent infrared recognition module and an intelligent voice recognition module are additionally arranged, so that the work energy conservation of the whole system and the collection of necessary alertness data are necessary and clear. When looking up camera information data in the later stage, can not look up for the full time, can carry out key collection to unusual picture and sound and look up.
Detailed Description
A control method of an Internet of things smart industrial door based on biological feature recognition comprises a computer control module, a face recognition module, a fingerprint recognition module, an iris recognition module, a wireless communication module and an industrial door driving module, wherein signal output ends of the face recognition module, the fingerprint recognition module and the iris recognition module are connected with a signal input end of the computer control module, a signal output end of the computer control module is connected with the industrial door driving module, and a signal output end of the industrial door driving module is in data transmission connection with a cloud server through the wireless communication module;
the method comprises the following steps:
step 1) inputting biological characteristics in a computer control module, establishing a database, and connecting the database with a cloud server;
step 2) any one of the face recognition module, the fingerprint recognition module and the iris recognition module recognizes that the biological characteristics accord with the input information, and the computer control module controls the industrial driving module to open the entrance guard; if any identification biological characteristics of the face identification module, the fingerprint identification module and the iris identification module are not in accordance, the computer control module controls the alarm module to give an alarm;
step 3) any identification biological characteristics of the face identification module, the fingerprint identification module and the iris identification module are continuously not met for N times in different time intervals M;
according to the first condition: m is more than 0 and less than 30 seconds, N is less than 5 times, and the alarm module prompts an alarm;
the condition two is met: m is more than 0 and less than 30 seconds, N is more than 5 times, and the alarm module prompts an alarm;
the face recognition module, the fingerprint recognition module and the iris recognition module upload the recognized biological characteristic data to a cloud server for data recording;
meanwhile, the wireless communication module establishes a data communication relation with the mobile terminal and gives an alarm;
and a camera shooting unit module is arranged on the door positioned on the industrial door.
The palm vein recognition device further comprises a palm vein recognition module, and the signal output end of the palm vein recognition module is connected with the signal input end of the computer control module.
The data information collected by the face recognition module, the fingerprint recognition module and the iris recognition module is converted into information to be recognized, the information to be recognized is transmitted to the computer control module to be compared with the data information, and if the information to be recognized is consistent with the preset data information, the entrance guard is unlocked.
Be provided with infrared identification module apart from entrance guard the place ahead, when infrared identification module discernment motion is close, infrared identification module's data transmission to computer control module opens the camera unit module through computer control module, records image data in advance.
The system comprises a voice recognition module, a camera shooting unit module and a voice recognition module, wherein the camera shooting unit module is started according to the distance range of a sound source position; the sound recognition module transmits the position information to the computer control module according to the sound source position, and the computer control module controls the camera shooting unit module to shoot the sound source position for focusing.
The invention provides an Internet of things intelligent industrial door control method based on biological feature recognition, which can intelligently realize the entrance guard management of an industrial door and effectively improve the safety and the intellectualization. Intelligent business turn over can be realized through face identification module, fingerprint identification module, iris identification module, palm vein identification module, can compare in addition its data and type, can carry out data record and record to the information of wanting to try illegal entering, and the security improves greatly. In addition, an intelligent infrared recognition module and an intelligent voice recognition module are additionally arranged, so that the work energy conservation of the whole system and the collection of necessary alertness data are necessary and clear. When looking up camera information data in the later stage, can not look up for the full time, can carry out key collection to unusual picture and sound and look up.
The above is only a preferred embodiment of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (6)
1. A method for controlling an Internet of things intelligent industrial door based on biological feature recognition is characterized by comprising the following steps: the system comprises a computer control module, a face recognition module, a fingerprint recognition module, an iris recognition module, a wireless communication module and an industrial door driving module, wherein the signal output ends of the face recognition module, the fingerprint recognition module and the iris recognition module are connected with the signal input end of the computer control module, the signal output end of the computer control module is connected with the industrial door driving module, and the signal output end of the industrial door driving module is in data transmission connection with a cloud server through the wireless communication module;
the method is characterized by comprising the following steps:
step 1) inputting biological characteristics in a computer control module, establishing a database, and connecting the database with a cloud server;
step 2) any one of the face recognition module, the fingerprint recognition module and the iris recognition module recognizes that the biological characteristics accord with the input information, and the computer control module controls the industrial driving module to open the entrance guard; if any identification biological characteristics of the face identification module, the fingerprint identification module and the iris identification module are not in accordance, the computer control module controls the alarm module to give an alarm;
step 3) any identification biological characteristics of the face identification module, the fingerprint identification module and the iris identification module are continuously not met for N times in different time intervals M;
according to the first condition: m is more than 0 and less than 30 seconds, N is less than 5 times, and the alarm module prompts an alarm;
the condition two is met: m is more than 0 and less than 30 seconds, N is more than 5 times, and the alarm module prompts an alarm;
the face recognition module, the fingerprint recognition module and the iris recognition module upload the recognized biological characteristic data to a cloud server for data recording;
meanwhile, the wireless communication module establishes a data communication relation with the mobile terminal and gives an alarm.
2. The method for controlling the intelligent industrial door of the internet of things based on the biometric feature recognition as claimed in claim 1, wherein: and a camera shooting unit module is arranged on the door positioned on the industrial door.
3. The method for controlling the intelligent industrial door of the internet of things based on the biometric feature recognition as claimed in claim 1, wherein: the palm vein recognition device further comprises a palm vein recognition module, and the signal output end of the palm vein recognition module is connected with the signal input end of the computer control module.
4. The method for controlling the intelligent industrial door of the internet of things based on the biometric feature recognition as claimed in claim 1, wherein: the data information collected by the face recognition module, the fingerprint recognition module and the iris recognition module is converted into information to be recognized, the information to be recognized is transmitted to the computer control module to be compared with the data information, and if the information to be recognized is consistent with the preset data information, the entrance guard is unlocked.
5. The method for controlling the intelligent industrial door of the internet of things based on the biometric feature recognition as claimed in claim 1, wherein: be provided with infrared identification module apart from entrance guard the place ahead, when infrared identification module discernment motion is close, infrared identification module's data transmission to computer control module opens the camera unit module through computer control module, records image data in advance.
6. The method for controlling the intelligent industrial door of the internet of things based on the biometric feature recognition as claimed in claim 1, wherein: the system comprises a voice recognition module, a camera shooting unit module and a voice recognition module, wherein the camera shooting unit module is started according to the distance range of a sound source position; the sound recognition module transmits the position information to the computer control module according to the sound source position, and the computer control module controls the camera shooting unit module to shoot the sound source position for focusing.
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Citations (6)
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CN108615279A (en) * | 2018-03-06 | 2018-10-02 | 安徽电科恒钛智能科技有限公司 | Intelligent door access control system for transformer substations based on Internet of Things |
CN208156682U (en) * | 2018-01-25 | 2018-11-27 | 精元电脑股份有限公司 | Biological identification device with sensing image sound |
CN208207896U (en) * | 2018-06-19 | 2018-12-07 | 国网浙江电动汽车服务有限公司 | A kind of intelligent operational system for charging station |
CN208207953U (en) * | 2018-06-13 | 2018-12-07 | 重庆慧居智能电子有限公司 | Based on the access control system of recognition of face Image Acquisition terminal |
CN110349307A (en) * | 2019-06-26 | 2019-10-18 | 安徽亿联网络科技有限公司 | A kind of access control system based on wifi communication network |
CN111429639A (en) * | 2020-05-26 | 2020-07-17 | 桂林师范高等专科学校 | Artificial intelligence access control system |
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2020
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Patent Citations (6)
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CN208156682U (en) * | 2018-01-25 | 2018-11-27 | 精元电脑股份有限公司 | Biological identification device with sensing image sound |
CN108615279A (en) * | 2018-03-06 | 2018-10-02 | 安徽电科恒钛智能科技有限公司 | Intelligent door access control system for transformer substations based on Internet of Things |
CN208207953U (en) * | 2018-06-13 | 2018-12-07 | 重庆慧居智能电子有限公司 | Based on the access control system of recognition of face Image Acquisition terminal |
CN208207896U (en) * | 2018-06-19 | 2018-12-07 | 国网浙江电动汽车服务有限公司 | A kind of intelligent operational system for charging station |
CN110349307A (en) * | 2019-06-26 | 2019-10-18 | 安徽亿联网络科技有限公司 | A kind of access control system based on wifi communication network |
CN111429639A (en) * | 2020-05-26 | 2020-07-17 | 桂林师范高等专科学校 | Artificial intelligence access control system |
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