CN112837462A - Face recognition access control system and access control system control method - Google Patents
Face recognition access control system and access control system control method Download PDFInfo
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- CN112837462A CN112837462A CN202011620892.7A CN202011620892A CN112837462A CN 112837462 A CN112837462 A CN 112837462A CN 202011620892 A CN202011620892 A CN 202011620892A CN 112837462 A CN112837462 A CN 112837462A
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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
- G07C9/10—Movable barriers with registering means
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Abstract
The invention belongs to a face recognition access control system, which comprises a data server and a gate switch, wherein the data server comprises an AI (Artificial intelligence) processor, a storage module and an I/O (input/output) module, the front side of the gate switch is provided with an inductor, the upper end of the gate switch is provided with a display, a broadcaster, a prompt lamp, a second camera and a card reader, and the upper part of the rear part of the gate switch is provided with a first camera; the AI processor is connected with the storage module, the AI processor is connected with the I/O module, the signal output end of the I/O module is respectively connected with the gate switch, the display, the broadcaster and the warning lamp, and the signal input end of the I/O module is respectively connected with the inductor, the second camera and the first camera; the invention can improve the speed of the resident through the entrance guard, reduce the pause and the queue, increase the use experience of the resident and really enjoy the entrance experience brought by the intelligent community.
Description
Technical Field
The invention belongs to the technical field of face recognition, and particularly relates to a face recognition access control system and an access control system control method.
Background
The intelligent community integrates various public information application systems, owner household application systems and other systems in the community based on a property management system by using a sensor network, the internet, a mobile internet and related terminals, feeds back information acquired by a sensor to a mobile phone, a PC (personal computer) and a television screen of a user through a cloud computing technology, and realizes an application system for transmitting any information to any object and any object at any time and any place by any main body, while the intelligent access control system is an indispensable part of the intelligent community, the existing intelligent access control system integrates a face recognition technology, a resident can enter and exit the community only by brushing the face without carrying an access card, however, in order to ensure the accuracy of face recognition, a face recognition camera is usually arranged on the access control, and after the resident walks to the access control, visual verification is carried out through the face recognition camera, therefore, the system judges whether the resident is a resident of a cell and further judges whether to open the access control, the static face-to-face contact with the face recognition camera of the resident is adopted, the accuracy is guaranteed, but the resident is required to stop and verify when entering and exiting the cell, queuing is frequently caused in the rush hours, the use experience of the resident is reduced, and the problem that how to improve the speed of the resident passing through the access control and reduce the pause is needed to be solved at present is solved.
Disclosure of Invention
The purpose of the invention is: the face recognition access control system and the access control system control method can improve the speed of a resident through access control, reduce pause and queuing, increase the use experience of the resident, and really enjoy the check-in experience brought by an intelligent community.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
a face recognition access control system comprises a data server and a gate switch, wherein the data server comprises an AI (Artificial intelligence) processor, a storage module and an I/O (input/output) module, a sensor is arranged on the front side of the gate switch, a display, a broadcaster, a prompt lamp, a second camera and a card reader are arranged at the upper end of the gate switch, and a first camera is arranged at the upper part of the rear part of the gate switch; the AI processor is connected with the storage module, the AI processor is connected with the I/O module, the signal output end of the I/O module is respectively connected with the gate switch, the display, the broadcaster and the warning lamp, and the signal input end of the I/O module is respectively connected with the inductor, the second camera and the first camera;
the first camera is used for identifying all face information in a region in front of the gate switch;
the second camera is only used for identifying the face information of the triggering sensor person;
the AI processor is used for rapidly comparing and processing the face data information;
the I/O module is used for connecting and transmitting signals;
the storage module is used for storing the face information of the entered resident;
by adopting the technical scheme, the first camera is arranged at the upper part behind the gate switch and used for identifying all face information in a region in front of the gate switch, so that the monitoring effect can be achieved, people who possibly enter a cell can be identified in advance, whether the gate switch is opened or not can be judged in advance, the time is saved, and the speed of a resident for passing through an entrance guard is increased; because the first camera is higher than the lifting recognition range, people with caps or other situations may not be accurately recognized, and the second camera is arranged for one-to-one accurate recognition aiming at the situations, is only used for recognizing face information triggering a sensor person, and displays images in the display, so that pedestrians can adjust the position, the shape or the wearing of the pedestrians by observing the display, and the detection of the second camera is facilitated, and the sensor is arranged at the front side of the gate switch and is used as a judgment criterion for judging whether the pedestrians intentionally pass through the gate switch; the AI processor can rapidly perform face recognition, for example, an MX3520 chip is adopted; the card reader is used as another method for opening a gate switch, so that residents who do not input information can conveniently enter the card reader;
it is further defined that the first camera includes a first visible light camera and a first infrared camera. With such a configuration, the first camera can recognize a living body and prevent misleading by a picture, a billboard, or the like.
It is further defined that the second camera includes a second visible light camera and a second infrared camera. With such a configuration, the second camera can recognize the living body and prevent misleading by pictures, billboards, and the like.
Further, the sensor is a microwave detection module. The structure is reasonable in structure and high in detection precision.
Further limiting, the prompting lamp is a red, green and yellow lamp. The structure is convenient for the pedestrians to timely feed back the recognition state.
The access control system control method comprises the following steps:
s1: the first camera is normally opened and used for identifying all face information in a region in front of the gate switch, and signals are transmitted to the AI processor through the I/O module, so that the AI processor compares data in the signals with the face information prestored in the storage module in real time, the AI processor divides the region monitored by the first camera into a safety region and an abstaining region, the abstaining region is in a small sector shape in front of the gate switch, the safety region is in a region monitored by the first camera except the abstaining region, and the second camera and the display are in a normally closed state;
s2, if the face detected by the first camera is judged to be the resident of the community by the AI processor, and if the sensor is triggered and detects a signal, the AI processor judges to be the resident of the community and directly controls the opening of the gate switch;
s3: if at least one piece of face information of the face in the area detected by the first camera is different from the face information prestored in the storage module, if the position of the face information is always in the safe area, if the sensor is triggered, a signal is detected, the AI processor judges that the area is a cell resident, and the opening and closing of the gate switch are directly controlled;
s4: if the face detected by the first camera has at least one face information different from the face information prestored in the storage module, and the position of the face information is shifted to the guard area, the second camera and the display are started, after the sensor is triggered, the second camera identifies the face information of the trigger person and displays the graph in the display to be fed back to the trigger person, at the moment, if the AI processor judges that the cell resident is detected by the detection of the second camera, the gate switch is opened, if the AI processor judges that the cell resident is not detected by the detection of the second camera, the broadcaster and the prompting lamp give corresponding prompts to remind the trigger person to re-identify the face or read the card by using the card reader.
Further define, the warning light is often bright yellow, is judged as when the gate switch is opened, and the warning light becomes green, and when first camera and second camera all can not discern triggering artificial cell resident family, then the warning light becomes red. Like this, the pedestrian can know face identification's state through the colour of warning light, if yellow light or red light then see to the second camera, makes things convenient for follow-up operation.
Further inject, be judged as opening when the gate switch, clear and crisp ringtone is reported to the broadcaster, and the first camera and the second camera all can not discern and trigger artificial cell householder, the broadcaster broadcasts the suggestion sound. Therefore, the pedestrian can know the state of the face recognition through the sound of the broadcasting device, can adjust in time and is convenient for subsequent operation.
Compared with the prior art, the method and the system have the advantages that the identity information of the gate switch to be passed can be judged in advance through the first camera and the division of the safety area and the guard area, if the identity information of the resident can be judged to be the resident, the resident can rapidly pass through the gate switch, and if the resident cannot be judged to be the resident, the resident can be carefully distinguished through the second camera, so that the speed of the resident passing through the entrance guard is increased, the pause and the queuing are reduced, the accuracy of face recognition is ensured, the entrance of outsiders is prevented, the use experience of the resident is increased, and the entrance experience brought by the intelligent community is really enjoyed.
Drawings
The invention is further illustrated by the non-limiting examples given in the accompanying drawings;
FIG. 1 is a schematic structural diagram of an embodiment of a face recognition access control system according to the present invention;
fig. 2 is a schematic view of a division structure of a security area and an arm area of an embodiment of a face recognition access control system of the present invention;
FIG. 3 is a schematic diagram of a signal connection structure of an embodiment of a face recognition access control system according to the present invention;
the main element symbols are as follows:
the gate switch 1, inductor 11, display 12, report 13, warning light 14, second camera 15, card reader 16, first camera 2, safe zone 3, guard against area 4.
Detailed Description
In order that those skilled in the art can better understand the present invention, the following technical solutions are further described with reference to the accompanying drawings and examples.
As shown in fig. 1-3, the face recognition access control system of the present invention includes a data server and a gate switch 1, wherein the data server includes an AI processor, a storage module and an I/O module, a sensor 11 is disposed at the front side of the gate switch 1, a display 12, a broadcaster 13, a warning light 14, a second camera 15 and a card reader 16 are disposed at the upper end of the gate switch 1, and a first camera 2 is disposed at the upper rear portion of the gate switch 1; the AI processor is connected with the storage module, the AI processor is connected with the I/O module, the signal output end of the I/O module is respectively connected with the gate switch 1, the display 12, the broadcaster 13 and the warning light 14, and the signal input end of the I/O module is respectively connected with the inductor 11, the second camera 15 and the first camera 2;
the first camera 2 is used for identifying all face information in a region in front of the gate switch 1;
the second camera 15 is only used for identifying the face information of the person triggering the sensor 11;
the AI processor is used for rapidly comparing and processing the face data information;
the I/O module is used for connecting and transmitting signals;
the storage module is used for storing the face information of the entered resident;
by adopting the technical scheme of the invention, the first camera 2 is arranged at the upper part of the rear part of the gate switch 1 and is used for identifying all face information in a region in front of the gate switch 1, so that the monitoring effect can be achieved, people who may enter a cell can be identified in advance, whether the gate switch 1 is opened or not can be judged in advance, the time is saved, and the speed of a resident for passing through an entrance guard is increased; since the first camera 2 is at a high position for increasing the recognition range, it may not be able to accurately recognize the person with the cap or other situations, and the second camera 15 is set for one-to-one accurate recognition for such situations, it is only used for recognizing the face information of the person triggering the sensor 11, and the image is displayed in the display 12, so that the pedestrian can adjust its position, shape or wearing by observing the display 12, and the detection of the second camera 15 is facilitated, and the sensor 11 is set in front of the gate switch 1 as the criterion for judging whether the pedestrian intentionally passes through the gate switch 1; the AI processor can rapidly perform face recognition, for example, an MX3520 chip is adopted; the card reader 16 is used as another method for opening the gate switch 1, so that residents who do not input information can enter the gate switch conveniently;
preferably, the first camera 2 includes a first visible light camera and a first infrared camera. With such a configuration, the first camera 2 can recognize a living body and prevent misleading by a picture, a signboard, or the like. In fact, other structures may be used to identify living organisms, as the case may be.
Preferably, the second camera 15 includes a second visible light camera and a second infrared camera. With such a configuration, the second camera 15 can recognize a living body and prevent misleading by a picture, a signboard, or the like. In fact, other structures may be used to identify living organisms, as the case may be.
Preferably, the sensor 11 is a microwave detection module. The structure is reasonable in structure and high in detection precision. In fact, other high-precision inductors may be used as the case may be.
Preferably, the indicator light 14 is a red, green and yellow light. The structure is convenient for the pedestrians to timely feed back the recognition state. In practice, other colors of the lamp may be considered as the case may be.
The access control system control method comprises the following steps:
s1: the first camera 2 is normally opened and used for identifying all face information in a region in front of the gate switch 1, and signals are transmitted to the AI processor through the I/O module, so that the AI processor compares data in the signals with face information prestored in the storage module in real time, the AI processor divides the region monitored by the first camera 2 into a safety region 3 and an abstaining region 4, the abstaining region 4 is in a small sector shape in front of the gate switch 1, the safety region 3 is in a region monitored by the first camera 2 except the abstaining region 4, the safety region 3 and the abstaining region 4 can be divided through floor tiles or paints of different colors or by software, and the second camera 15 and the display 12 are in a normally closed state;
s2, if the face in the area detected by the first camera 2 is judged as the residential quarter by the AI processor, at the moment, if the sensor 11 is triggered and detects a signal, the AI processor judges as the residential quarter and directly controls the opening of the gate switch 1;
s3: if at least one piece of face information of the face in the area detected by the first camera 2 is different from the face information prestored in the storage module, if the position of the face information is always in the safety area 3, if the sensor 11 is triggered and a signal is detected, the AI processor judges that the area is a cell resident and directly controls the opening of the gate switch 1;
s4: if at least one face information of the face in the area detected by the first camera 2 is different from the face information prestored in the storage module, and the position of the face information is shifted to the guard area 4, the second camera 15 and the display 12 are turned on, after the sensor 11 is triggered, the second camera 15 identifies the face information of the triggered person, displays the graph in the display 12 and feeds back the graph to the triggered person, at the moment, if the AI processor judges that the face information is a cell resident through the detection of the second camera 15, the gate switch 1 is turned on, if the face information is not a cell resident through the detection of the second camera 15, the AI processor judges that the face information is not a cell resident, and the broadcast device 13 and the prompt lamp 14 give corresponding prompts to remind the triggered person to re-identify the face information or read the card through the card reader 16.
Preferably, the indicator light 14 is constantly turned on to be yellow, when the gate switch 1 is determined to be turned on, the indicator light 14 is turned to be green, and when neither the first camera 2 nor the second camera 15 can recognize the triggering of the artificial cell resident, the indicator light 14 is turned to be red. Like this, the pedestrian can know face identification's state through the colour of warning light 14, if yellow light or red light then see to second camera 15, makes things convenient for follow-up operation.
Preferably, when gate switch 1 is judged to open, the broadcaster 13 broadcasts crisp ring tone, and when first camera 2 and second camera 15 all can not discern triggering artificial cell resident, broadcaster 13 broadcasts the suggestion sound. Like this, the pedestrian can know face identification's state through the sound of reporting ware 13, can in time adjust, makes things convenient for follow-up operation.
Through above-mentioned face identification access control system and access control system control method, through first camera 2 and division safe area 3 and guard against the district 4, can predetermine the identity information who waits to pass through the gate switch, if can judge the resident family, then can pass through the gate switch fast, if can not judge the resident family, then carefully distinguish through second camera 15, can promote the speed that the resident family passes through the entrance guard like this and reduce to pause and queue up, increase the use of resident family and experience, real income that enjoys the wisdom district and bring is lived the experience.
The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (8)
1. The utility model provides a face identification access control system, includes data server and gate switch (1), its characterized in that: the data server comprises an AI processor, a storage module and an I/O module, wherein an inductor (11) is arranged on the front side of the gate switch (1), a display (12), a broadcaster (13), a prompting lamp (14), a second camera (15) and a card reader (16) are arranged at the upper end of the gate switch (1), and a first camera (2) is arranged at the upper part of the rear part of the gate switch (1); the AI processor is connected with the storage module, the AI processor is connected with the I/O module, the signal output end of the I/O module is respectively connected with the gate switch (1), the display (12), the broadcaster (13) and the warning light (14), and the signal input end of the I/O module is respectively connected with the inductor (11), the second camera (15) and the first camera (2);
the first camera (2) is used for identifying all face information in a region in front of the gate switch (1);
the second camera (15) is only used for identifying the face information of the person triggering the sensor (11);
the AI processor is used for rapidly comparing and processing the face data information;
the I/O module is used for connecting and transmitting signals;
the storage module is used for storing the face information of the entered resident.
2. The face recognition access control system of claim 1, characterized in that: the first camera (2) comprises a first visible light camera and a first infrared camera.
3. The face recognition access control system of claim 1, characterized in that: the second camera (15) comprises a second visible light camera and a second infrared camera.
4. The face recognition access control system of claim 1, characterized in that: the inductor (11) is a microwave detection module.
5. The face recognition access control system of claim 1, characterized in that: the prompt lamp (14) is a red-green-yellow light.
6. The access control system control method according to any one of claims 1 to 5, characterized in that: the access control system control method comprises the following steps:
s1: the first camera (2) is normally opened and used for identifying all face information in a region in front of the gate switch (1), and signals are transmitted to the AI processor through the I/O module, so that the AI processor compares data in the signals with face information prestored in the storage module in real time, the region monitored by the first camera (2) is divided into a safety region (3) and an abstinence region (4) by the AI processor, the range of the abstinence region (4) is a small sector in front of the gate switch (1), the range of the safety region (3) is a region monitored by the first camera (2) except the abstinence region (4), and the second camera (15) and the display (12) are in a normally closed state;
s2, if the human face in the area detected by the first camera (2) is judged as the resident of the community by the AI processor, at the moment, if the sensor (11) is triggered, the signal is detected, the AI processor judges as the resident of the community, and the gate switch (1) is directly controlled to be opened;
s3: if at least one piece of face information of the face in the area detected by the first camera (2) is different from the face information prestored in the storage module, if the position of the face information is always in the safety area (3), if the sensor (11) is triggered, a signal is detected, the AI processor judges that the area is a cell resident, and the gate switch (1) is directly controlled to be opened;
s4: if at least one face information of the face in the area detected by the first camera (2) is different from the face information prestored in the storage module, and the position of the face information is shifted to the guard area (4), the second camera (15) and the display (12) are started, after the sensor (11) is triggered, the second camera (15) identifies the face information of the triggered person, the figure is displayed in the display (12) and is fed back to the triggered person, at the moment, if the AI processor judges that the face information is a cell resident through the detection of the second camera (15), the gate switch (1) is opened, if the AI processor judges that the face information is not the cell resident through the detection of the second camera (15), the broadcaster (13) and the prompting lamp (14) give corresponding prompts to remind the triggered person to re-identify the face or read the card through the card reader (16).
7. The access control system control method of claim 6, wherein: the prompting lamp (14) is normally turned on to be yellow, when the gate switch (1) is judged to be turned on, the prompting lamp (14) is turned to be green, and when the first camera (2) and the second camera (15) cannot identify and trigger a man-made cell resident, the prompting lamp (14) is turned to be red.
8. The access control system control method of claim 6, wherein: when gate switch (1) is judged to open, clear and crisp ringtone is reported in broadcaster (13), and when first camera (2) and second camera (15) all can not discern and trigger artificial cell resident, broadcaster (13) report the suggestion sound.
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| CN114596659A (en) * | 2022-02-24 | 2022-06-07 | 广西海视云图智能科技有限公司 | Movable temperature-sensing gate system for community and use method thereof |
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| CN107978051A (en) * | 2017-12-15 | 2018-05-01 | 亿城通智能科技（大冶）有限公司 | A kind of access control system and method based on recognition of face |
| CN109767525A (en) * | 2018-12-13 | 2019-05-17 | 西安艾润物联网技术服务有限责任公司 | A kind of channel management method and system based on recognition of face |
| CN109447597A (en) * | 2018-12-27 | 2019-03-08 | 深圳市沃特沃德股份有限公司 | More people carry out the method, apparatus and face identification system of attendance jointly |
| CN110189449A (en) * | 2019-05-31 | 2019-08-30 | 浙江大华技术股份有限公司 | Gate control method, equipment, system |
| CN111833504A (en) * | 2020-05-29 | 2020-10-27 | 上海追月科技有限公司 | Access control system, control method thereof and electronic equipment |
| CN111696239A (en) * | 2020-06-18 | 2020-09-22 | 江苏建筑职业技术学院 | Artificial intelligence identification system based on computer |
| CN111783714A (en) * | 2020-07-10 | 2020-10-16 | 熵基科技股份有限公司 | Coercion face recognition method, device, equipment and storage medium |
| CN111800617A (en) * | 2020-07-22 | 2020-10-20 | 多伦信息技术有限公司 | Intelligent security system based on Internet of things |
| CN112017346A (en) * | 2020-08-25 | 2020-12-01 | 杭州海康威视数字技术股份有限公司 | Access control management method, access control terminal, access control system and storage medium |
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| CN113689604A (en) * | 2021-08-26 | 2021-11-23 | 重庆工程学院 | Access control system based on living body identification and detection method thereof |
| CN114596659A (en) * | 2022-02-24 | 2022-06-07 | 广西海视云图智能科技有限公司 | Movable temperature-sensing gate system for community and use method thereof |
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