CN111583480A - Access control face recognition device and access control system - Google Patents
Access control face recognition device and access control system Download PDFInfo
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- CN111583480A CN111583480A CN202010488577.7A CN202010488577A CN111583480A CN 111583480 A CN111583480 A CN 111583480A CN 202010488577 A CN202010488577 A CN 202010488577A CN 111583480 A CN111583480 A CN 111583480A
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- face recognition
- entrance guard
- recognition device
- access control
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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
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
- G07C9/253—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition visually
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/94—Hardware or software architectures specially adapted for image or video understanding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/94—Hardware or software architectures specially adapted for image or video understanding
- G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/94—Hardware or software architectures specially adapted for image or video understanding
- G06V10/955—Hardware or software architectures specially adapted for image or video understanding using specific electronic processors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
Abstract
The application relates to an entrance guard face recognition device and an entrance guard control system, and belongs to the technical field of entrance guard face recognition devices. The application includes: an AI processor; the microwave detection module, the visible light camera, the LED light supplement module, the infrared camera, the storage module, the RTC module and the I/O module are respectively connected with the AI processor; the storage module is used for prestoring a face recognition model and recognition data; the RTC module is used for providing a real-time clock; the microwave detection module is used for triggering the AI processor to start the visible light camera, the LED light supplement module and the infrared camera to collect video stream when detecting that a human body exists in front of the entrance guard face recognition device; the AI processor can realize face recognition and living body detection at the entrance guard side, and output a recognition result signal through the I/O module. Through the application, the face recognition processing of the entrance guard face recognition device can be rapidly and efficiently completed, and the opening and closing response of the entrance guard is guaranteed timely.
Description
Technical Field
The application belongs to the technical field of entrance guard face recognition devices, and particularly relates to an entrance guard face recognition device and an entrance guard control system.
Background
In the related art, although the conventional CPU processor can also execute the image recognition algorithm, the speed is slow and the efficiency is low, for example, the automatic driving needs to recognize the road condition, and if the conventional CPU is used for processing, it may happen that the vehicle turns into the river and the front river is not found yet. Similarly, if the access control face acquisition end in the related art adopts the traditional CPU to process face recognition, when a processing result is to be obtained, how long the delay is not known in time, and inevitably, the user experience is not good.
Therefore, most of face recognition access control systems employ an access control face acquisition end to transmit acquired face information back to a server end, and deliver the face information to the server end, and use its strong processing capability to complete the recognition and judgment of face images (for example, the patent with application number 201910820041.8 — a face detection and access control system device based on deep learning recognition, which discloses that image acquisition equipment is used to transmit face images back to an image processing server, the image processing server uses an algorithm model based on deep learning to match and recognize the acquired faces), and then returns the result to the access control face acquisition end to control the opening and closing of the access control. Because of the wired/wireless mode of communication between people's face collection system and the server is adopted more, in practical application, the problem that communication between people's face collection system and the server appears longer hysteresis can take place, and then lead to the problem that the system control entrance guard switching appears longer hysteresis thereupon, and necessarily ground, also be not good in user experience.
Disclosure of Invention
For overcoming the problem that exists in the correlation technique to a certain extent at least, this application provides an entrance guard face recognition device and access control system to make entrance guard face recognition device self can accomplish face recognition fast and high-efficiently and handle, help guaranteeing that entrance guard's switching response is timely.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect,
the application provides an entrance guard face recognition device, includes:
an AI processor; and
the microwave detection module, the visible light camera, the LED light supplement module, the infrared camera, the storage module, the RTC module and the I/O module are respectively connected with the AI processor;
wherein the content of the first and second substances,
the storage module is used for prestoring a face recognition model and recognition data;
the RTC module is used for providing a real-time clock;
the microwave detection module is used for triggering the AI processor to start the visible light camera, the LED light supplement module and the infrared camera to acquire video stream when detecting that a human body exists in front of the entrance guard face recognition device;
the AI processor is used for receiving the video stream, realizing face recognition and living body detection at the entrance guard side according to the face recognition model and the recognition data prestored in the storage module, and outputting a recognition result signal through the I/O module.
Further, entrance guard's face recognition device still includes:
and the access control face recognition device is connected with a remote server through the network module so as to remotely update the face recognition model and the recognition data.
Further, entrance guard's face recognition device still includes: and the display screen is connected with the AI processor.
Further, entrance guard's face recognition device still includes: and the audio module is connected with the AI processor.
Further, the AI processor adopts MX3520 chip.
Further, the network module comprises: one or more of a 4G module, a WiFi module, and an Ethernet module.
Further, the RTC module adopts an RX-8130CE clock chip.
In a second aspect of the present invention,
the application provides an access control system, includes:
the entrance guard face recognition device of any one of the above items; and
the Wiegand signal output device is connected with the I/O module of the entrance guard face recognition device;
the Wiegand signal selector is connected with the Wiegand signal output device;
the entrance guard controller is connected with the Wiegand signal selector;
and the access control switch is connected with the access control device.
Further, the access control system further comprises:
and the card reader is connected with the Wiegand signal selector.
Further, the access control system further comprises:
and the power supply module is used for providing a working power supply of the access control system.
This application adopts above technical scheme, possesses following beneficial effect at least:
the application provides an entrance guard face recognition device utilizes the AI treater to have high efficiency's image processing ability than traditional treater, realizes that entrance guard face recognition device self can accomplish face recognition fast and efficiently and handle, on the one hand, can solve to hand over and accomplish the longer communication lag problem that face recognition handles probably take place by the server, and on the other hand helps guaranteeing that entrance guard's switching response is timely.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a block diagram illustrating an access control face recognition apparatus according to an exemplary embodiment;
FIG. 2 is a block diagram schematic diagram illustrating an access control system in accordance with an exemplary embodiment;
in the figure, the position of the upper end of the main shaft,
1-entrance guard face recognition device;
101-AI processor; 102-a microwave detection module; 103-a visible light camera; 104-LED light supplement module; 105-an infrared camera; 106-a storage module; 107-RTC module; 108-an I/O module; 109-a network module; 110-a display screen; 111-an audio module;
2-wiegand signal output device; a 3-wiegand signal selector; 4-an access controller; 5-an access switch; 6-a card reader; and 7, a power supply module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a block diagram illustrating a schematic block diagram of an access control face recognition apparatus according to an exemplary embodiment, and as shown in fig. 1, the access control face recognition apparatus 1 includes:
an AI processor 101; and
the device comprises a microwave detection module 102, a visible light camera 103, an LED supplementary lighting module 104, an infrared camera 105, a storage module 106, an RTC module 107 and an I/O module 108, which are respectively connected with the AI processor 101;
wherein the content of the first and second substances,
the storage module 106 is used for prestoring a face recognition model and recognition data;
the RTC module 107 is used for providing a real-time clock;
the microwave detection module 102 is configured to trigger the AI processor 101 to start the visible light camera 103, the LED light supplement module 104 and the infrared camera 105 to collect a video stream when detecting that a human body exists in front of the access control face recognition device 1;
the AI processor 101 is configured to receive the video stream, perform face recognition and living body detection on the access control side according to a face recognition model and recognition data pre-stored in the storage module 106, and output a recognition result signal through the I/O module 108.
Specifically, with the rapid development of artificial intelligence technologies such as near-automatic driving, rapid development of the AI processor 101 is driven, and the AI processor 101 has the advantage of rapid and efficient image processing capability in the aspect of image recognition processing. The application provides an entrance guard face recognition device 1, it disposes AI treater 101 (for example, can adopt MX3520 chip), it has high efficiency's image processing ability to utilize AI treater 101 to compare traditional treater, it can accomplish face recognition processing fast and high efficiently to realize entrance guard face recognition device 1 self, on the one hand, can solve to be handed over to accomplish the long communication lag problem that face recognition processing probably takes place by the server, on the other hand, help guaranteeing that entrance guard's switching response is timely.
It should be noted that the access control face recognition device 1 of the present application provides a hardware device, and the face recognition model pre-stored in the storage module 106 of the present application and the AI processor 101 perform face recognition and living body detection according to the face recognition model and the recognition data, which are not improved around this aspect, and in a specific application, a face image recognition technology in the related art can be transplanted.
The above scheme is explained by specific application scenarios.
In practical application, the entrance guard face recognition device 1 provided by the application can be installed beside a unit door, a face recognition model and recognition data are prestored in the entrance guard face recognition device 1 in advance, and the recognition data comprise face image information of a user who enters and exits the unit door daily. One working mode of the microwave detection module 102 may be that the microwave detection module 102 is always in a detection state, when a user returns from the outside and needs to open the unit door and walks to the front of the door access face recognition device 1, the microwave detection module 102 can detect the moving user, thereby triggering and starting the visible light camera 103, the LED light supplement module 104 and the infrared camera 105 to collect a video stream, the AI processor 101 receives the video stream, and performs face recognition and living body detection on the door access side according to the face recognition model and the recognition data pre-stored in the storage module 106, wherein the video stream collected by the infrared camera 105 is used for extracting infrared depth of field data to assist in judging living body detection of a human body, the AI processor 101 can perform face recognition only on the living body in the video stream collected by the visible light camera 103 according to the extracted infrared depth of field data to eliminate face recognition on a face picture, the accuracy of face recognition is improved. Then, the identification result signal is outputted through the I/O module 108, and the identification result signal is used to control whether the access control switch is turned on or kept turned off.
Realize entrance guard's face recognition device 1 self can accomplish face recognition fast and efficiently and handle and to entrance guard's control based on this application, therefore entrance guard's face recognition device 1 that this application provided is independent relatively, to this, in this application above-mentioned scheme through configuration RTC module 107 (for example, can adopt RX-8130CE clock chip) to entrance guard's face recognition device 1 provides support in the aspect of real-time. For example, the real-time when the face image is acquired is obtained by the RTC module 107.
On the basis of the above functions, another operation mode of the microwave detection module 102 may also be implemented, which is specifically as follows: the AI processor 101 may count the user identified by the history data and the real-time corresponding to the user at that time within a preset time period (for example, one week), count the number of times of access use corresponding to each time period (for example, every two hours), and then obtain the monitoring frequency corresponding to each time period of the microwave detection module 102 according to the number of times of access use corresponding to each time period, so that the microwave detection module 102 does not need to be kept in a detection state all the time, and can meet the monitoring requirement according to the activity condition of the user.
Referring to fig. 1, in an embodiment, the entrance guard face recognition device 1 further includes:
and the network module 109 is connected with the AI processor 101, and the entrance guard face recognition device 1 establishes connection with a remote server through the network module 109 to remotely update the face recognition model and the recognition data.
Specifically, the network module 109 may include: one or more of the 4G module, the WiFi module, and the ethernet module may enable the access control face recognition device 1 of the present application to access a network through the network module 109, and establish a link with a server. According to the access control face recognition device 1, network connection is established with the server, and remote updating of a face recognition model and recognition data can be carried out. Meanwhile, when the door control face recognition device 1 collects the video stream, the video stream can be only temporarily cached in the door control face recognition device 1 and is sent to the server for storage through the network module 109, and the video stream with the temporary cache deleted can be released after the user face recognition is completed.
Referring to fig. 1, in an embodiment, the entrance guard face recognition device 1 further includes: a display screen 110 and an audio module 111, which are respectively connected to the AI processor 101. Specifically, the functions of displaying a call alarm prompt and the like of the conventional access control device can be realized through the display screen 110 and the audio module 111.
Referring to fig. 2, fig. 2 is a schematic block diagram illustrating an access control system according to an exemplary embodiment, and as shown in fig. 2, the access control system includes:
the entrance guard face recognition device 1 according to any one of the above items; and
the wiegand signal output device 2 is connected with the I/O module 108 of the entrance guard face recognition device 1;
the wiegand signal selector 3 is connected with the wiegand signal output device 2;
the entrance guard controller 4 is connected with the Wiegand signal selector 3;
and the access control switch 5 is connected with the access control device 4.
Specifically, the Wiegand (Wiegand) protocol is a standard unified internationally, is a communication protocol established by motorola, and is widely used in access control systems. The entrance guard face recognition device 1 outputs a face recognition result (outputs a recognition passing signal and corresponding face data ID information) through the I/O module 108, then outputs a Wiegand signal corresponding to face data through the Wiegand signal outputter 2, and after the Wiegand signal outputter 2 outputs the Wiegand signal corresponding to the face data to the Wiegand signal selector 3, the Wiegand signal selector 3 outputs correct door opening and closing information to the entrance guard controller 4, thereby completing the function of controlling the opening and closing of the face recognition.
Referring to fig. 2, in an embodiment, the access control system further includes:
and the card reader 6 is connected with the Wiegand signal selector 3.
Specifically, the radio frequency card can be close to the card reader 6 to complete the function of opening the door by swiping the card, and the radio frequency card can be used as a supplement of the face recognition access control system.
Referring to fig. 2, in an embodiment, the access control system further includes:
and the power supply module 7 is used for providing a working power supply of the access control system.
Specifically, the actual power module 7 product can provide power consumption management functions of the whole system and low-power consumption management of the system.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
The functional units in the embodiments of the present application may be integrated into a whole, or each unit may exist alone physically, or two or more units are integrated into a module.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. An entrance guard face recognition device, comprising:
an AI processor; and
the microwave detection module, the visible light camera, the LED light supplement module, the infrared camera, the storage module, the RTC module and the I/O module are respectively connected with the AI processor;
wherein the content of the first and second substances,
the storage module is used for prestoring a face recognition model and recognition data;
the RTC module is used for providing a real-time clock;
the microwave detection module is used for triggering the AI processor to start the visible light camera, the LED light supplement module and the infrared camera to acquire video stream when detecting that a human body exists in front of the entrance guard face recognition device;
the AI processor is used for receiving the video stream, realizing face recognition and living body detection at the entrance guard side according to the face recognition model and the recognition data prestored in the storage module, and outputting a recognition result signal through the I/O module.
2. The entrance guard's face recognition device of claim 1, wherein the entrance guard's face recognition device further comprises:
and the access control face recognition device is connected with a remote server through the network module so as to remotely update the face recognition model and the recognition data.
3. The entrance guard's face recognition device according to claim 1 or 2, further comprising: and the display screen is connected with the AI processor.
4. The entrance guard's face recognition device according to claim 1 or 2, further comprising: and the audio module is connected with the AI processor.
5. The entrance guard face recognition device according to claim 1 or 2, wherein the AI processor employs MX3520 chip.
6. The entrance guard face recognition device according to claim 2, wherein the network module comprises: one or more of a 4G module, a WiFi module, and an Ethernet module.
7. The entrance guard face recognition device according to claim 1, wherein the RTC module employs an RX-8130CE clock chip.
8. An access control system, comprising:
the entrance guard face recognition device according to any one of claims 1 to 7; and
the Wiegand signal output device is connected with the I/O module of the entrance guard face recognition device;
the Wiegand signal selector is connected with the Wiegand signal output device;
the entrance guard controller is connected with the Wiegand signal selector;
and the access control switch is connected with the access control device.
9. The access control system of claim 8, further comprising:
and the card reader is connected with the Wiegand signal selector.
10. The access control system of claim 8 or 9, further comprising:
and the power supply module is used for providing a working power supply for the access control system.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010488577.7A CN111583480A (en) | 2020-06-02 | 2020-06-02 | Access control face recognition device and access control system |
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| CN202010488577.7A CN111583480A (en) | 2020-06-02 | 2020-06-02 | Access control face recognition device and access control system |
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| CN111583480A true CN111583480A (en) | 2020-08-25 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113391695A (en) * | 2021-06-11 | 2021-09-14 | 山东浪潮科学研究院有限公司 | Low-power-consumption face recognition method based on TinyML |
| CN113407395A (en) * | 2021-06-08 | 2021-09-17 | 深圳市海清视讯科技有限公司 | Testing method and device of face recognition equipment |
-
2020
- 2020-06-02 CN CN202010488577.7A patent/CN111583480A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113407395A (en) * | 2021-06-08 | 2021-09-17 | 深圳市海清视讯科技有限公司 | Testing method and device of face recognition equipment |
| CN113407395B (en) * | 2021-06-08 | 2022-06-17 | 深圳市海清视讯科技有限公司 | Testing method and device of face recognition equipment |
| CN113391695A (en) * | 2021-06-11 | 2021-09-14 | 山东浪潮科学研究院有限公司 | Low-power-consumption face recognition method based on TinyML |
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