Gate with face recognition function

Abstract

The utility model relates to the technical field of access control systems, in particular to a gate machine with a face recognition function, which comprises at least two groups of face recognition cameras and a controller, the at least two groups of face recognition cameras are respectively and electrically connected with the controller, the at least two groups of face recognition cameras are arranged at intervals along the vertical direction, and the controller is electrically connected with the controller. The upper face recognition camera is arranged at the position away from the ground by a first threshold value, the lower face recognition camera is arranged at the position away from the ground by a second threshold value, and the first threshold value is larger than the second threshold value. Through the above arrangement, the configuration of the high-position face recognition camera and the low-position face recognition camera is formed, compared with a traditional gate with binocular cameras, the recognition range of the scheme is wider, and the face recognition camera located on the upper portion can be suitable for most people; the face recognition camera located on the lower portion can enable children standing at the position about 1 m away from the camera or old people sitting on a wheelchair to be accurately recognized, and the passing efficiency of all people is remarkably improved.

Description

Technical Field

[0001] The utility model relates to the technical field of access control systems, and in particular to a gate machine with face recognition. Background Art

[0002] At present, the installation height of most access control machines, especially face recognition access control machines, usually considers the best imaging angle and distance between the camera and the face. The installation height of face recognition access control machines is usually between 1.5 meters and 1.7 meters from the ground. This height is designed to meet the needs of people of normal height. Within this height range, the camera can capture facial images in a level or slightly downward posture, which helps to obtain clearer and more accurate recognition results, avoid direct sunlight to the lens, and reduce recognition errors caused by lighting problems. However, if the residents of the community are generally taller or shorter in height, or if the elderly and children are traveling without anyone accompanying them, it may cause some inconvenience to travel. Utility Model Content

[0003] In view of this, the purpose of the present invention is to provide a gate machine with face recognition, which can be suitable for most people and thus improve the traffic efficiency.

[0004] In order to achieve the above purpose, the technical solution adopted by the utility model is:

[0005] A gate with face recognition includes at least two groups of face recognition cameras and a controller. The at least two groups of face recognition cameras are electrically connected to the controller respectively. The at least two groups of face recognition cameras are arranged at intervals in the vertical direction. The face recognition camera located above is set at a first threshold distance from the ground, and the face recognition camera located below is set at a second threshold distance from the ground. The first threshold is greater than the second threshold.

[0006] Furthermore, the first threshold is 1.5 meters, and the second threshold is 1.2 meters.

[0007] Furthermore, it also includes an identification position marker; the identification position marker is set in front of the gate at a distance from the third threshold.

[0008] Furthermore, the third threshold range is 0.5 meters to 1.5 meters.

[0009] Furthermore, the face recognition camera is a binocular face recognition camera.

[0010] Further, the controller includes a main control chip, a mainboard camera interface J1, a first video signal switching switch chip U1, a second video signal switching switch chip U2, a first MIPI binocular camera interface J2 and a second MIPI binocular camera interface J3;

[0011] The number of the binocular face recognition cameras is two groups, namely a first binocular face recognition camera and a second binocular face recognition camera;

[0012] The mainboard camera interface J1 is electrically connected to the main control chip, the first video signal switching chip U1 and the second video signal switching chip U2 respectively;

[0013] The first video signal switching switch chip U1 is electrically connected to the first MIPI binocular camera interface J2 and the second MIPI binocular camera interface J3 respectively;

[0014] The second video signal switching switch chip U2 is electrically connected to the first MIPI binocular camera interface J2 and the second MIPI binocular camera interface J3 respectively;

[0015] The first MIPI binocular camera interface J2 is used to be electrically connected to the first binocular face recognition camera;

[0016] The second MIPI binocular camera interface J3 is used to be electrically connected to a second binocular face recognition camera.

[0017] The beneficial effects of the utility model are:

[0018] The utility model provides a gate with face recognition, including at least two groups of face recognition cameras and a controller, at least two groups of face recognition cameras are electrically connected to the controller respectively, at least two groups of face recognition cameras are arranged at intervals in the vertical direction, the face recognition camera located at the top is arranged at a first threshold distance from the ground, and the face recognition camera located at the bottom is arranged at a second threshold distance from the ground, and the first threshold is greater than the second threshold. Through the above settings, a high-low position face recognition camera configuration is formed. Compared with the traditional gate with binocular cameras, the recognition range of this solution is wider. The face recognition camera located at the top can be applied to most people, and the face recognition camera located at the bottom can make even a child standing about 1m away from the camera or an old man sitting in a wheelchair can be accurately recognized, which significantly improves the passage efficiency of all people (especially children and the elderly). BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 Shown is a schematic structural diagram of a gate machine with face recognition according to the utility model;

[0020] Figure 2 Shown is a schematic diagram of the installation position of a gate machine with face recognition according to the utility model;

[0021] Figure 3 Shown is a circuit connection diagram of the mainboard camera interface J1 of the controller of the utility model;

[0022] Figure 4 Shown is a circuit connection diagram of the first video signal switching switch chip U1 of the controller of the utility model;

[0023] Figure 5 Shown is a circuit connection diagram of the second video signal switching switch chip U2 of the controller of the utility model;

[0024] Figure 6 Shown is a circuit connection diagram of the first MIPI binocular camera interface J2 of the controller of the utility model;

[0025] Figure 7 Shown is a circuit connection diagram of the second MIPI binocular camera interface J3 of the controller of the present utility model;

[0026] Figure 8 Shown is a peripheral circuit connection diagram of the controller of the utility model;

[0027] Description of Figure Numbers:

[0028] 1-gate; 11. first binocular face recognition camera; 12. second binocular face recognition camera. DETAILED DESCRIPTION

[0029] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments:

[0030] like Figure 1-Figure 8 As shown, the utility model provides a gate with face recognition, including at least two groups of face recognition cameras and a controller, the at least two groups of face recognition cameras are electrically connected to the controller respectively, and the at least two groups of face recognition cameras are arranged at intervals in the vertical direction, the face recognition camera located above is set at a first threshold distance from the ground, and the face recognition camera located below is set at a second threshold distance from the ground, and the first threshold is greater than the second threshold.

[0031] From the above description, it can be seen that the utility model has the following beneficial effects: the utility model provides a gate with face recognition, including at least two groups of face recognition cameras and a controller, at least two groups of face recognition cameras are electrically connected to the controller respectively, at least two groups of face recognition cameras are arranged at intervals in the vertical direction, the face recognition camera located at the top is arranged at a first threshold distance from the ground, and the face recognition camera located at the bottom is arranged at a second threshold distance from the ground, and the first threshold is greater than the second threshold. Through the above settings, a high-low position face recognition camera configuration is formed. Compared with the traditional gate with binocular cameras, the recognition range of this solution is wider. The face recognition camera located at the top can be applied to most people, and the face recognition camera located at the bottom can make even a child standing about 1m away from the camera or an elderly person sitting in a wheelchair can be accurately recognized, which significantly improves the traffic efficiency of all people (especially children and the elderly).

[0032] Furthermore, the first threshold is 1.5 meters, and the second threshold is 1.2 meters.

[0033] From the above description, it can be seen that the adoption of the above specific parameters meets actual needs and significantly improves the convenience of travel for all groups of people (especially children and the elderly).

[0034] Furthermore, it also includes an identification position marker; the identification position marker is set in front of the gate at a distance from the third threshold.

[0035] From the above description, it can be seen that setting an identification position mark at the third threshold in front of the gate serves as a prompt, that is, the user's recognition success rate at the identification position mark is higher, thereby ensuring traffic efficiency.

[0036] Furthermore, the third threshold range is 0.5 meters to 1.5 meters.

[0037] It can be seen from the above description that the above specific parameters are adopted to meet actual needs.

[0038] Furthermore, the face recognition camera is a binocular face recognition camera.

[0039] From the above description, it can be seen that a binocular face recognition camera is used to improve the accuracy of face recognition.

[0040] Further, the controller includes a main control chip, a mainboard camera interface J1, a first video signal switching switch chip U1, a second video signal switching switch chip U2, a first MIPI binocular camera interface J2 and a second MIPI binocular camera interface J3;

[0041] The number of the binocular face recognition cameras is two groups, namely a first binocular face recognition camera and a second binocular face recognition camera;

[0042] The mainboard camera interface J1 is electrically connected to the main control chip, the first video signal switching chip U1 and the second video signal switching chip U2 respectively;

[0043] The first video signal switching switch chip U1 is electrically connected to the first MIPI binocular camera interface J2 and the second MIPI binocular camera interface J3 respectively;

[0044] The second video signal switching switch chip U2 is electrically connected to the first MIPI binocular camera interface J2 and the second MIPI binocular camera interface J3 respectively;

[0045] The first MIPI binocular camera interface J2 is used to be electrically connected to the first binocular face recognition camera;

[0046] The second MIPI binocular camera interface J3 is used to be electrically connected to a second binocular face recognition camera.

[0047] From the above description, it can be seen that through the above specific circuit connection method, two sets of binocular face recognition cameras can be integrated on one gate machine, thereby achieving the purpose of improving traffic efficiency.

[0048] Several preferred embodiments or application examples are listed below to help those skilled in the art better understand the technical content of the utility model and the technical contribution made by the utility model relative to the prior art:

[0049] Preferred embodiment one:

[0050] like Figure 1 and Figure 2The utility model provides a gate 1 with face recognition, comprising at least two groups of face recognition cameras and a controller, wherein the at least two groups of face recognition cameras are electrically connected to the controller respectively, and the at least two groups of face recognition cameras are arranged at intervals in the vertical direction, the face recognition camera located at the top is arranged at a first threshold distance from the ground, and the face recognition camera located at the bottom is arranged at a second threshold distance from the ground, and the first threshold is greater than the second threshold. In this embodiment, the first threshold is 1.5 meters, and the second threshold is 1.2 meters. The face recognition camera is a binocular face recognition camera, and the binocular face recognition camera is used to improve the accuracy of face recognition. Specifically, the SV-ZI16-90REV2.0 is a dual MIPI binocular wide dynamic + near infrared module. The visible light uses a 2M wide dynamic sensor. The high-quality wide dynamic effect will adapt to more harsh scenes, reduce the adverse effects of complex light environments on the recognition algorithm, and use a standard MIPI interface to output high-quality video streams; the near-infrared part uses a 2M low-light sensor, combined with high-quality infrared effects and narrow-band filters to reduce the impact of ambient light on infrared imaging; the product is mainly used in face recognition access control, attendance, gates, ID cards and other scenes. The number of binocular face recognition cameras is two groups, namely the first binocular face recognition camera 11 (i.e., the face recognition camera located above) and the second binocular face recognition camera 12 (i.e., the face recognition camera located below);

[0051] It also includes an identification position mark, which is located in front of the gate at a distance from a third threshold. The third threshold range is 0.5 meters to 1.5 meters, preferably 1 meter, which serves as a reminder that the user has a higher recognition success rate at the identification position mark, thereby ensuring traffic efficiency.

[0052] In this embodiment, the controller includes a main control chip, a mainboard camera interface J1, a first video signal switching switch chip U1, a second video signal switching switch chip U2, a first MIPI binocular camera interface J2 and a second MIPI binocular camera interface J3;

[0053] The mainboard camera interface J1 is electrically connected to the main control chip, the first video signal switching chip U1 and the second video signal switching chip U2 respectively;

[0054] The first video signal switching switch chip U1 is electrically connected to the first MIPI binocular camera interface J2 and the second MIPI binocular camera interface J3 respectively;

[0055] The second video signal switching switch chip U2 is electrically connected to the first MIPI binocular camera interface J2 and the second MIPI binocular camera interface J3 respectively;

[0056] The first MIPI binocular camera interface J2 is used to be electrically connected to the first binocular face recognition camera 11;

[0057] The second MIPI binocular camera interface J3 is used to be electrically connected to the second binocular face recognition camera 12 .

[0058] like Figure 3 The model of the mainboard camera interface J1 is FPC-0.5G-WTX-40P, and it also includes: resistor R17, resistor R18, resistor R19 and resistor R36. The specific parameters and connection methods are shown in the figure.

[0059] like Figure 4 The model of the first video signal switching switch chip U1 is TS3DV520E-WQFN42, and the specific connection method is shown in the figure.

[0060] like Figure 5 The model of the second video signal switching switch chip U2 is TS3DV520E-WQFN42, and the specific connection method is shown in the figure.

[0061] like Figure 6 The model of the first MIPI binocular camera interface J2 is FPC-0.5G-WTX-40P, and also includes: resistors R1 to R16, capacitors C6 and C12. The specific parameters and connection methods are shown in the figure.

[0062] like Figure 7 The model of the second MIPI binocular camera interface J3 is FPC-0.5G-WTX-40P, and also includes: resistors R20 to R34, capacitors C13 and C14. The specific parameters and connection methods are shown in the figure.

[0063] like Figure 8 The peripheral circuit of the controller is composed of capacitors C1 to C5, capacitors C7 to C11, and capacitors C15 to C25. The specific parameters and connection methods are shown in the figure.

[0064] Through the above-mentioned specific circuit connection, two groups of face recognition cameras are integrated into one gate and electrically connected to the controller in the gate to complete the face data collection function.

[0065] The present invention has been described by the above-mentioned relevant embodiments and drawings, but the above-mentioned embodiments are only examples for implementing the present invention. It must be pointed out that the disclosed embodiments do not limit the scope of the present invention. On the contrary, modifications and equivalent settings included in the spirit and scope of the claims are included in the scope of the present invention.

Claims

1. A gate machine with face recognition, characterized in that: The invention comprises at least two groups of face recognition cameras and a controller. The at least two groups of face recognition cameras are electrically connected to the controller respectively. The at least two groups of face recognition cameras are arranged at intervals in the vertical direction. The face recognition camera located above is arranged at a first threshold distance from the ground, and the face recognition camera located below is arranged at a second threshold distance from the ground. The first threshold is greater than the second threshold.

2. A gate machine with face recognition according to claim 1, characterized in that: The first threshold is 1.5 meters, and the second threshold is 1.2 meters.

3. The gate machine with face recognition according to claim 1, characterized in that: It also includes an identification position mark; the identification position mark is set in front of the gate at a distance from the third threshold.

4. The gate machine with face recognition according to claim 3, characterized in that: The third threshold range is from 0.5 meters to 1.5 meters.

5. The gate machine with face recognition according to claim 1, characterized in that: The face recognition camera is a binocular face recognition camera.

6. A gate machine with face recognition according to claim 5, characterized in that: The controller includes a main control chip, a mainboard camera interface J1, a first video signal switching switch chip U1, a second video signal switching switch chip U2, a first MIPI binocular camera interface J2 and a second MIPI binocular camera interface J3; The number of the binocular face recognition cameras is two groups, namely a first binocular face recognition camera and a second binocular face recognition camera; The mainboard camera interface J1 is electrically connected to the main control chip, the first video signal switching chip U1 and the second video signal switching chip U2 respectively; The first video signal switching switch chip U1 is electrically connected to the first MIPI binocular camera interface J2 and the second MIPI binocular camera interface J3 respectively; The second video signal switching switch chip U2 is electrically connected to the first MIPI binocular camera interface J2 and the second MIPI binocular camera interface J3 respectively; The first MIPI binocular camera interface J2 is used to be electrically connected to the first binocular face recognition camera; The second MIPI binocular camera interface J3 is used to be electrically connected to a second binocular face recognition camera.

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