CN115393995A - Intelligent epidemic prevention monitoring system and monitoring method thereof - Google Patents
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Abstract
The invention discloses an intelligent epidemic prevention monitoring system and a monitoring method thereof, wherein the intelligent epidemic prevention monitoring system comprises a face recognition temperature measurement module, an algorithm processing module, an information input module and a warning notification module, and whether the face information meets the epidemic prevention requirement is identified through accurately snapping face information by a camera of a face snapping machine. By adopting the intelligent epidemic prevention monitoring system and the monitoring method thereof, people who pass through a place with large human flow can be accurately identified to acquire the identity information of the people and inquire the health codes and the nucleic acids, so that accurate screening and early warning of abnormal health codes or nucleic acids can be realized, epidemic situation screening work can be completed without a large amount of manpower, zero contact is passed in the whole process, and the passing efficiency is greatly improved.
Description
Technical Field
The invention belongs to a face recognition system, and particularly relates to an intelligent epidemic prevention monitoring system and a monitoring method thereof.
Background
Global epidemic situation seriously influences economic development, digital technologies such as big data, artificial intelligence and cloud computing need to be applied, and the method can better play a supporting role in the aspects of epidemic situation monitoring and analysis, virus source tracing, prevention, control, treatment, resource allocation and the like. The formation of an epidemic prevention and control network is an effective way for preventing the spread of the epidemic situation, for example, epidemic monitoring points are arranged at entrances and exits through which personnel pass, such as various communities, airports, high-speed intersections, railway stations, markets, shops and the like, the epidemic prevention and control work is carried out in the forms of body temperature monitoring, location information code scanning or personal flow information code scanning and the like, the personnel always need to wait for a long time in a place with a large stream of people to pass through the detection, the retention condition of the personnel is caused, meanwhile, the nervous emotion is brought to the personnel, and various contradictions are caused. In order to improve the efficiency of monitoring and preventing epidemic situations, a large number of epidemic prevention detection personnel can be added only in places with large personnel flow, so that the working efficiency is improved. However, the problem of complicated procedures such as code scanning, health code checking, and travel code checking cannot be solved fundamentally, and many unnecessary contradictions are caused.
Disclosure of Invention
The invention aims to provide an intelligent epidemic prevention monitoring system which does not contact human bodies and is based on a snapshot camera and an AI face recognition algorithm aiming at the basic principle that epidemic situations are mainly prevented. Establishing perfect rapid epidemic situation prevention and gradually forming an epidemic situation monitoring mode of 'non-sensory health code inspection'.
The technical scheme of the invention is as follows: an intelligent epidemic prevention monitoring system comprises a face recognition temperature measurement module, an algorithm processing module, an information input module and a warning notification module;
the human face identification temperature measurement module is used for identifying human face information through accurate snapshot of a camera of a human face snapshot machine, and the human face snapshot machine is also provided with a non-contact human body temperature measurement sensing device;
the algorithm processing module consists of a face AI algorithm server, a health code processing module and an algorithm result receiver, wherein the face AI algorithm server accurately identifies face picture information captured by the face snapshot machine, then compares and verifies whether the face picture information meets the epidemic prevention requirement through a preset algorithm and recorded information according to the epidemic prevention requirement and standard, and the algorithm result receiver receives, processes and compares the face picture information with the recorded information;
the information input module is used for inputting and storing personnel basic information and facial information data in an earlier stage or temporarily through an information input equipment computer and a camera, and then uploading the personnel basic information and the facial information data to a human face AI algorithm server;
the warning notification service module is used for warning and broadcasting the conditions of abnormal personnel identified by the algorithm result receiver through a field voice warning device and an abnormal epidemic prevention monitoring large screen, uploading abnormal data to a local higher-level epidemic prevention department, and rapidly reminding the user of the abnormal conditions in a telephone or short message mode.
The further scheme is as follows: the preset algorithm of the face AI algorithm server is that face information and personnel body temperature information are captured on site and transmitted to the health code processing module, the health code processing module judges personnel risk values through 3 rule combinations, firstly, whether the current city, county and street epidemic prevention and control mode is in high, medium and low risk levels is judged, secondly, the personnel body temperature, nucleic acid detection state, nucleic acid detection time and vaccination condition are judged, thirdly, personnel journey information and personnel surrounding relation contact information are judged, whether the risk attribute of the personnel exceeds the standard value is identified by using an accurate algorithm, the total number is 10, 1-3 are high in risk, 4-6 are risk, and 6-10 are risk-free.
And further: the information input module is used for inputting personal information and health information into a computer, inputting and storing personnel face information data into the computer through a camera, and simultaneously uploading the input data to the algorithm processing module synchronously.
Further: and the camera of the face snapshot machine is mounted to the algorithm service module through a GAT1400 protocol or an RTSP protocol.
Further: the algorithm processing module at least supports 30 ten thousand face libraries and supports the management of 3 face libraries; a recognition rate of 99.5%; 1: n face recognition time <500ms; the binocular in-vivo detection is supported, and attack behaviors such as photos, videos and models are effectively prevented; the face recognition and mask detection recognition accuracy rate is 85%, and the requirement of conventional mask detection is met.
The intelligent epidemic prevention monitoring method based on the intelligent epidemic prevention monitoring system is carried out by the following steps,
1. information entry: inputting the personnel health information and the face data information into a personnel information acquisition module in advance or temporarily through a computer and a camera of an information input module;
2. epidemic prevention monitoring and algorithm presetting: uploading the data acquired in the first step to an algorithm processing module, and presetting an epidemic prevention abnormal data monitoring algorithm according to epidemic prevention requirements, wherein the algorithm is to judge the risk value of a person through 3 rule combinations, firstly, judge which risk level the current city, district and street epidemic situation prevention and control form is in, and then, judge the body temperature, the nucleic acid detection state, the nucleic acid detection time and the vaccination condition of the person, thirdly, judge the travel information of the person and the contact information of the peripheral relation of the person, and use an accurate algorithm to identify whether the risk attribute of the person exceeds a standard value, the total is 10 points, 1-3 points are high risk, 4-6 points are risk, and 6-10 points are risk-free;
3. face snapshot: arranging a plurality of cameras of the face snapshot machine at a stuck point needing epidemic situation control, wherein the cameras of the face snapshot machine have the function of measuring body temperature;
4. and (3) data analysis: uploading the data captured in the third step to an algorithm processing module, carrying out comparison analysis through a human face AI algorithm server and a health code processing module of the algorithm processing module, transmitting the comparison analysis result to an algorithm result receiver, and carrying out data input acquisition on site through an information acquisition module if no information record is found in the snap-shot personnel;
5. warning and reminding: after the fourth step of comparison and analysis, the data of the personnel with abnormal health data is transmitted to a warning notification service module through an algorithm result receiver, warning and broadcasting are carried out through a field voice warning device and an abnormal epidemic prevention monitoring large screen, the abnormal conditions of the personnel are quickly reminded through a telephone or a short message mode, the abnormal personnel are quickly isolated and checked by the field epidemic prevention personnel, and meanwhile, the abnormal data are uploaded to a higher-level epidemic prevention department in the local.
The intelligent epidemic prevention monitoring system and the monitoring method thereof have the following advantages:
1. accurate screening early warning for abnormal health code or nucleic acid personnel
The basic unit or basic community epidemic situation prevention and control system has the advantages that through the fusion of the snapshot camera hardware equipment and the algorithm processing module face recognition technology, people passing through the places with large human traffic flow are subjected to accurate information recognition to obtain personnel identity information and inquire health codes and nucleic acids, the health codes or nucleic acid abnormal people are subjected to information report and are processed according to epidemic prevention programs, and visual management is more handy.
2. Improve the passing efficiency
Through the current scheme of application face identification + health sign indicating number inquiry, the state and the nucleic acid information of quick check expert's health epidemic prevention sign indicating number, whether normal, the green sign indicating number is current, and the red sign indicating number of yellow sign indicating number is reported an emergency and asked for help or increased vigilance, need not a large amount of manual works and can accomplish epidemic situation screening work, and whole "zero contact" is current.
3. Through personnel statistics and record query
The face recognition system can automatically generate snapshot records, data statistics analysis and reports to help track and record personnel information.
4. Rich device access capabilities
The system has strong access capability, integrates main snapshot camera manufacturers in the market, adopts the concept of resource sharing and service integration, integrates various communication protocols and networking equipment, is mutually communicated, is favorable for GAT1400 protocol or RTSP protocol, and is responsible for the access and control of the equipment. Various third-party equipment can be accessed, and fatal errors possibly caused by inconsistent stability and reliability of equipment of various manufacturers can be prevented; meanwhile, the device access shields the difference of various hardware devices, provides a uniform control and data interaction interface, and greatly simplifies the platform customization development.
5. Flexible modular design
As technology and demand continue to develop, the requirements for system functionality and scale and quality of construction will continue to increase. In design, a system interface with good expansibility and a modular design are adopted, when equipment needs to be upgraded, the system can realize smooth transition and is convenient to be compatible with an old system, and the system adopts a system architecture based on SaaS service and is suitable for cross-system and cross-platform interconnection.
System component characteristics: the snapshot camera adopts a high-definition real-time snapshot technology and supports day and night dynamic switching.
Face recognition: 30 ten thousand face libraries are supported, and the management of 3 face libraries is supported; a recognition rate of 99.5%; 1: n, the face recognition time is less than 500ms; the binocular in-vivo detection is supported, and attack behaviors such as photos, videos and models are effectively prevented;
face recognition and mask detection: the face and mask recognition accuracy is 85%, and the detection requirement of a conventional mask is met;
intelligent health code: the red/yellow code gives an alarm, the green code passes through, and the nucleic acid detection result is synchronously output;
and (3) identity card verification: after the personnel take a candid photograph, identity information, epidemic prevention health code information (red/yellow code alarm, green code passing) and a nucleic acid detection result are displayed;
voice broadcasting: the health code and the face recognition result are supported to be broadcasted;
the maximum 10 ten thousand records can be stored and exported, so that the backtracking is convenient;
online networking is supported, the management cloud platform is matched for use, and the traffic record is pushed in real time;
the interface protocol is rich, and SDK, HTTP and MQTT protocols under various platforms such as Windows/Linux and the like are supported.
Drawings
Fig. 1 is a flow chart of an intelligent epidemic prevention monitoring system and a monitoring method thereof according to the present invention.
Detailed Description
An intelligent epidemic prevention monitoring system comprises a face recognition temperature measurement module, an algorithm processing module, an information input module and a warning notification module; the information input module inputs personal information and health information into a computer, inputs and stores face information data of personnel into the computer through a camera, and simultaneously uploads the input data to the algorithm processing module synchronously.
The face recognition temperature measurement module is used for recognizing face information through accurate snapshot of a camera of the face snapshot machine, and the camera of the face snapshot machine is mounted to the algorithm service module through a GAT1400 protocol or an RTSP protocol. The face snapshot machine is also provided with a non-contact human body temperature measurement sensing device.
The algorithm processing module consists of a face AI algorithm server, a health code processing module and an algorithm result receiver. The preset algorithm of the face AI algorithm server is that face information and personnel body temperature information are captured on site and transmitted to the health code processing module, the health code processing module judges personnel risk values through 3 rule combinations, firstly, whether the current city, county and street epidemic prevention and control mode is in high, medium and low risk levels is judged, secondly, the personnel body temperature, nucleic acid detection state, nucleic acid detection time and vaccination condition are judged, thirdly, personnel journey information and personnel surrounding relation contact information are judged, whether the risk attribute of the personnel exceeds the standard value is identified by using an accurate algorithm, the total number is 10, 1-3 are high in risk, 4-6 are risk, and 6-10 are risk-free. The health code processing module monitors the latest health code information data of the party. The face AI algorithm server is used for accurately identifying the face picture information captured by the face snapshot machine. At least 30 ten thousand face libraries are supported in the algorithm module, and the management of 3 face libraries is supported; a recognition rate of 99.5%; 1: n, the face recognition time is less than 500ms; the binocular in-vivo detection is supported, and attack behaviors such as photos, videos and models are effectively prevented; the face recognition and mask detection recognition accuracy rate is 85%, and the requirement of conventional mask detection is met. And then comparing and checking whether the information is in accordance with the epidemic prevention requirement through a preset algorithm and the recorded information according to the epidemic prevention requirement and standard, wherein the algorithm result receiver receives and processes the compared result.
The warning notification service module is used for warning and broadcasting the conditions of abnormal personnel identified by the algorithm result receiver through a field voice warning device and an abnormal epidemic prevention monitoring large screen, uploading abnormal data to a local higher-level epidemic prevention department, and rapidly reminding the user of the abnormal conditions in a telephone or short message mode.
The intelligent epidemic prevention monitoring method based on the intelligent epidemic prevention monitoring system is carried out by the following steps,
1. information entry: personnel health information and face data information are input into the personnel information acquisition module by a unit or a basic community in advance or temporarily through a computer and a camera of the information input module;
2. epidemic prevention monitoring and algorithm presetting: uploading the data acquired in the first step to an algorithm processing module, and presetting an epidemic prevention abnormal data monitoring algorithm according to epidemic prevention requirements, wherein the algorithm is to judge the risk value of a person through 3 rule combinations, firstly, judge which risk level the current city, district and street epidemic situation prevention and control form is in, and then, judge the body temperature, the nucleic acid detection state, the nucleic acid detection time and the vaccination condition of the person, thirdly, judge the travel information of the person and the contact information of the peripheral relation of the person, and use an accurate algorithm to identify whether the risk attribute of the person exceeds a standard value, the total is 10 points, 1-3 points are high risk, 4-6 points are risk, and 6-10 points are risk-free;
3. face snapshot: the camera of a plurality of face snapshot machines is arranged at the card point needing epidemic situation control, and face recognition monitoring is carried out on the personnel passing through the epidemic situation prevention and control card point. The camera of the face snapshot machine has the function of measuring body temperature and carries out warning broadcast on people with abnormal body temperature;
4. and (3) data analysis: uploading the data captured in the third step to an algorithm processing module, carrying out comparison analysis through a human face AI algorithm server and a health code processing module of the algorithm processing module, transmitting the comparison analysis result to an algorithm result receiver, and carrying out data input acquisition on site through an information acquisition module if no information record is found in the snap-shot personnel;
5. warning and reminding: after the fourth step of comparison and analysis, the data of the personnel with abnormal health data is transmitted to a warning notification service module through an algorithm result receiver, warning and broadcasting are carried out through a field voice warning device and an abnormal epidemic prevention monitoring large screen, the abnormal conditions of the personnel are quickly reminded through a telephone or a short message mode, the abnormal personnel are quickly isolated and checked by the field epidemic prevention personnel, and meanwhile, the abnormal data are uploaded to a higher-level epidemic prevention department in the local. The higher epidemic prevention department can timely and accurately master the information of abnormal personnel and carry out effective measures such as monitoring, informing, tracking, isolating and the like on the abnormal personnel with health codes.
Claims (6)
1. The utility model provides an intelligent epidemic prevention monitored control system, includes face identification temperature measurement module, algorithm processing module, information input module, warning notice module, its characterized in that:
the human face recognition temperature measurement module is used for recognizing human face information through accurate snapshot of a camera of a human face snapshot machine, and the human face snapshot machine is further provided with a non-contact human body temperature measurement sensing device;
the algorithm processing module consists of a face AI (artificial intelligence) algorithm server, a health code processing module and an algorithm result receiver, wherein the face AI algorithm server is used for accurately identifying face picture information captured by the face snapshot machine, then comparing and checking whether the face picture information meets the epidemic prevention requirement or not through a preset algorithm and recorded information according to the epidemic prevention requirement and standard, and the algorithm result receiver is used for receiving, processing and comparing results;
the information input module is used for inputting and storing personnel basic information and facial information data in an earlier stage or temporarily through an information input equipment computer and a camera, and then uploading the personnel basic information and the facial information data to a human face AI algorithm server;
the warning notification service module is used for warning and broadcasting the conditions of abnormal personnel identified by the algorithm result receiver through a field voice warning device and an abnormal epidemic prevention monitoring large screen, uploading abnormal data to a local higher-level epidemic prevention department, and rapidly reminding the user of the abnormal conditions in a telephone or short message mode.
2. The intelligent epidemic prevention monitoring system of claim 1, wherein: the preset algorithm of the face AI algorithm server is that face information and personnel body temperature information are captured on site and transmitted to a health code processing module, the health code processing module judges personnel risk values through 3 rule combinations, firstly, the risk level of the current city, district and street epidemic situation prevention and control mode is judged, secondly, the risk level of the personnel body temperature, the nucleic acid detection state, the nucleic acid detection time and the vaccination condition are judged, thirdly, the personnel journey information and personnel peripheral relation contact information are judged, whether the risk attribute of the personnel exceeds the standard value is identified by using an accurate algorithm, the total is 10 points, 1-3 points are high in risk, 4-6 points are in risk, and 6-10 points are in no risk.
3. The intelligent epidemic prevention monitoring system of claim 1, wherein: the information input module inputs personal information and health information into a computer, inputs and stores face information data of personnel into the computer through a camera, and simultaneously uploads the input data to the algorithm processing module synchronously.
4. The intelligent epidemic prevention monitoring system of claim 1, wherein: and the camera of the face snapshot machine is mounted to the algorithm service module through a GAT1400 protocol or an RTSP protocol.
5. The intelligent epidemic prevention monitoring system of claim 1, wherein: the algorithm processing module at least supports 30 ten thousand face libraries and supports the management of 3 face libraries; a recognition rate of 99.5%; 1: n face recognition time <500ms; the binocular in-vivo detection is supported, and attack behaviors such as photos, videos and models are effectively prevented; the face recognition and mask detection recognition accuracy rate is 85%, and the requirement of conventional mask detection is met.
6. The intelligent epidemic prevention monitoring method of the intelligent epidemic prevention monitoring system of claim 1, wherein: is carried out by the following steps of,
1. information entry: the personnel health information and the face data information are input into the personnel information acquisition module in advance or temporarily through a computer and a camera of the information input module;
2. epidemic prevention monitoring and algorithm presetting: uploading the data acquired in the first step to an algorithm processing module, and presetting an epidemic prevention abnormal data monitoring algorithm according to epidemic prevention requirements, wherein the algorithm is to judge the risk value of a person through 3 rule combinations, firstly, judge which risk level the current city, district and street epidemic situation prevention and control form is in, and then, judge the body temperature, the nucleic acid detection state, the nucleic acid detection time and the vaccination condition of the person, thirdly, judge the travel information of the person and the contact information of the peripheral relation of the person, and use an accurate algorithm to identify whether the risk attribute of the person exceeds a standard value, the total is 10 points, 1-3 points are high risk, 4-6 points are risk, and 6-10 points are risk-free;
3. face snapshot: arranging a plurality of cameras of the face snapshot machine at a stuck point needing epidemic situation control, wherein the cameras of the face snapshot machine have the function of measuring body temperature;
4. and (3) data analysis: uploading the data captured in the third step to an algorithm processing module, carrying out comparison analysis through a human face AI algorithm server and a health code processing module of the algorithm processing module, transmitting the comparison analysis result to an algorithm result receiver, and carrying out data input acquisition on site through an information acquisition module if no information record is found in the snap-shot personnel;
5. warning and reminding: after the fourth step of comparison and analysis, the data of the personnel with abnormal health data is transmitted to a warning notification service module through an algorithm result receiver, warning and broadcasting are carried out through a field voice warning device and an abnormal epidemic prevention monitoring large screen, the abnormal conditions of the personnel are quickly reminded through a telephone or a short message mode, the abnormal personnel are quickly isolated and checked by the field epidemic prevention personnel, and meanwhile, the abnormal data are uploaded to a higher-level epidemic prevention department in the local.
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