CN215068289U - Sensor module, face identification module and face identification equipment - Google Patents

Sensor module, face identification module and face identification equipment Download PDF

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Publication number
CN215068289U
CN215068289U CN202121480771.7U CN202121480771U CN215068289U CN 215068289 U CN215068289 U CN 215068289U CN 202121480771 U CN202121480771 U CN 202121480771U CN 215068289 U CN215068289 U CN 215068289U
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face recognition
camera
sensor module
module
projector
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汤昊
张帅
杨浩
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Shanghai Sensetime Intelligent Technology Co Ltd
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Shanghai Sensetime Intelligent Technology Co Ltd
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Priority to CN202121480771.7U priority Critical patent/CN215068289U/en
Priority to PCT/CN2021/127448 priority patent/WO2023273068A1/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/145Illumination specially adapted for pattern recognition, e.g. using gratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40Spoof detection, e.g. liveness detection
    • G06V40/45Detection of the body part being alive

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Input (AREA)

Abstract

The application provides a sensor module, a face recognition module and face recognition equipment, wherein the sensor module comprises a frame, a projector, a first camera and a second camera, wherein the projector, the first camera and the second camera are arranged in the frame; the projector is used for projecting light rays for identifying the three-dimensional information of the target object to the target object; the first camera is used for shooting light spots formed by the light rays projected to the target object by the projector; the second camera is used for shooting a two-dimensional image of the target object. In the technical scheme, the three-dimensional information of the target object is acquired through the cooperation of the projector and the first camera, the two-dimensional image is acquired through the second camera, and the living body detection result is acquired through the cooperation of the three-dimensional information and the two-dimensional image, so that the living body detection precision is improved.

Description

Sensor module, face identification module and face identification equipment
Technical Field
The utility model relates to a face identification technical field particularly, relates to a sensor module, face identification module and face identification equipment.
Background
The core of the face payment is a novel payment mode combining the face recognition technology and the payment. Through the very high 3D live body detection face identification module of installation integrated security on terminal equipment, the consumer is when paying, and face identification camera module can carry out intelligent acquisition to face information automatically, draws the facial characteristic of people's face, can carry out the collection of different angles to the static face, the dynamic face of people's face to reach identification's purpose and accomplish light payment. However, the face recognition device in the prior art has low precision for detecting the living body.
Disclosure of Invention
The embodiment of the disclosure provides a sensor module, a face recognition module and face recognition equipment, which are used for improving the low precision of living body detection.
In a first aspect, a sensor module is provided, which is used for face recognition, and comprises a frame, a projector, a first camera and a second camera, wherein the projector, the first camera and the second camera are arranged in the frame; the projector is used for projecting light rays for identifying the three-dimensional information of the target object to the target object; the first camera is used for shooting light spots formed by the light rays projected to the target object by the projector; the second camera is used for shooting a two-dimensional image of the target object. In the technical scheme, the three-dimensional information of the target object is acquired through the cooperation of the projector and the first camera, the two-dimensional image is acquired through the second camera, and the living body detection result is acquired through the cooperation of the three-dimensional information and the two-dimensional image, so that the living body detection precision is improved.
In a specific possible embodiment, the sensor module further comprises a floodlight disposed within the frame, the floodlight being configured to illuminate the target. The brightness of the target object is improved, and the face recognition effect is further improved.
In a specific embodiment, the sensor module further comprises a distance sensor disposed within the frame; the distance sensor is used for detecting the distance from the target object to the sensor module. The distance from the target object to the sensor module is detected through the distance sensor, and the target object is prevented from being influenced by the light projected by the projector.
In a specific possible embodiment, the projector, the first camera, the second camera, the floodlight, the distance sensor are arranged in a single row within the frame; wherein the floodlight is positioned at the middle position of the frame; the first camera and the second camera are positioned on one side of the floodlight; the distance sensor and the projector are located on the other side of the floodlight. The whole sensor module is compact in structure.
In a specific possible embodiment, the projector is an infrared light projector; the first camera is an infrared camera; the second camera is an RGB camera.
In a second aspect, a face recognition module is provided, and the face recognition module includes: the system comprises a stacked main board, a first bracket and a sensor module; the sensor module is any one of the sensor modules; the sensor module and the main board are respectively arranged on two opposite sides of the first support; the main board is detachably and fixedly connected with the first bracket; the sensor module is detachably connected with the first support; the sensor module is electrically connected with the mainboard. In the technical scheme, the three-dimensional information of the target object is acquired through the cooperation of the projector and the first camera, the two-dimensional image is acquired through the second camera, and the living body detection result is acquired through the cooperation of the three-dimensional information and the two-dimensional image, so that the living body detection precision is improved. Meanwhile, the face recognition module is convenient to maintain.
In a specific embodiment, the face recognition module further comprises a second bracket, and the frame of the sensor module is fixed on the second bracket; the second support and the first support are arranged in a stacked mode and are fixedly connected with the first support in a detachable mode. The sensor module is supported by the second support.
In a specific possible embodiment, a shock-absorbing silica gel is arranged between the sensor module and the second bracket. The vibration-proof effect to the sensor module is realized.
In a specific embodiment, the kit further comprises a debugging plate; the debugging plate is fixedly connected with the first support in a detachable mode, and the debugging plate is electrically connected with the main board. The face recognition module can be debugged through the debugging board.
In a specific possible implementation, the debugging plate is provided with a USB interface and a debugging port. The USB interface is connected with external equipment to transmit data, and the debugging port can be connected with the external equipment for debugging.
In a specific embodiment, a space for accommodating electronic devices on the motherboard is formed between the motherboard and the first bracket. The electronic device is arranged between the main board and the first support, so that the safety of the electronic device can be improved.
In a specific possible embodiment, the system further comprises a flexible circuit board, and the sensor module is electrically connected with the main board through the flexible circuit board. The sensor modules on two sides of the first support are electrically connected with the main board through wiring of the flexible circuit board.
In a specific possible embodiment, the flexible circuit board is a U-shaped structure, and the flexible circuit board spans the first bracket.
In a third aspect, a face recognition device is provided, which includes a housing, and the face recognition module set in any one of the above-mentioned cases. In the technical scheme, the three-dimensional information of the target object is acquired through the cooperation of the projector and the first camera, the two-dimensional image is acquired through the second camera, and the living body detection result is acquired through the cooperation of the three-dimensional information and the two-dimensional image, so that the living body detection precision is improved. Meanwhile, the face recognition module is convenient to maintain.
In a specific embodiment, the housing comprises a rear shell and a cover plate; the cover plate is provided with a window matched with the sensor module; the face recognition equipment further comprises dustproof cotton used for blocking a gap between the sensor module and the window. The sealing effect of the face recognition equipment is improved, and dust is prevented from entering the shell.
In a specific possible embodiment, the rear shell is a metal rear shell; the face recognition equipment also comprises heat-conducting silica gel; the mainboard passes through heat conduction silica gel bonds in the backshell. Fix the face identification module in the casing through heat conduction silica gel, and can realize the radiating effect with the heat transfer to the casing that the mainboard produced through heat conduction silica gel.
In a specific embodiment, the cover plate and the rear shell are connected through a cover plate back adhesive in a sealing mode. The sealing effect of the face recognition equipment is improved, and dust is prevented from entering the shell.
In a fourth aspect, a face recognition system is provided, which includes any one of the face recognition devices, and a server connected to the face recognition device; the server is used for storing the face image of the target object shot by the face recognition equipment.
In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly described below, and the drawings herein incorporated in and forming a part of the specification illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the technical solutions of the present disclosure. It is appreciated that the following drawings depict only certain embodiments of the disclosure and are therefore not to be considered limiting of its scope, for those skilled in the art will be able to derive additional related drawings therefrom without the benefit of the inventive faculty.
Fig. 1 is a schematic structural diagram of a sensor module according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a face recognition module according to an embodiment of the present disclosure;
fig. 3 is an exploded schematic view of a face recognition module according to an embodiment of the present disclosure;
fig. 4 shows an exploded view of the basic components of a face recognition device provided by an embodiment of the present disclosure;
fig. 5 is an exploded schematic view of a face recognition device provided by an embodiment of the present disclosure;
fig. 6 shows a block diagram of a face recognition system provided in an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. The components of the embodiments of the present disclosure, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure, presented in the figures, is not intended to limit the scope of the claimed disclosure, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the disclosure without making creative efforts, shall fall within the protection scope of the disclosure.
Furthermore, the terms "first," "second," and the like in the description and in the claims, and in the drawings described above, in the embodiments of the present disclosure are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein.
Reference herein to "a plurality or a number" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The face recognition is a biological feature recognition technology for identity authentication based on human physiognomic feature information, and the maximum feature of the face recognition technology is that personal information can be prevented from being leaked and the face recognition technology is used for recognition in a non-contact mode. Face recognition and fingerprint recognition, palm print recognition, retina recognition, skeleton recognition, heartbeat recognition and the like belong to human body biological feature recognition technologies, and are generated along with the rapid development of technologies such as a photoelectric technology, a microcomputer technology, an image processing technology, pattern recognition and the like. However, the face recognition device in the prior art can only recognize two-dimensional information of a face, which results in low recognition accuracy. Therefore, the embodiment of the application provides a sensor module.
Referring to fig. 1, fig. 1 shows a schematic structural diagram of a sensor module 10 provided in an embodiment of the present application. The sensor module 10 includes a frame 16 and a plurality of electronics disposed within the frame 16. Wherein the frame 16 serves as a support structure for supporting a plurality of electronic devices.
The plurality of electronic devices include at least a projector 12, a first camera 15, and a second camera 14. The projector 12, the first camera 15, and the second camera 14 are disposed in the frame 16 and arranged in a single row along the length direction of the frame 16.
The projector 12 is used to project light for identifying stereoscopic information of the object to the object. Illustratively, the projector 12 is a 3D structured light projector, and the 3D structured light projector emits millions of projected light rays onto the recognition object, and the light rays form different light spots when being irradiated on different parts of the human face. As an alternative, the projector 12 provided in the embodiment of the present application employs an infrared light projector that can emit infrared light to illuminate the target object. Illustratively, the infrared light projector may be an infrared laser. It should be understood that the projector 12 provided in the embodiments of the present application may use other wavelengths of light besides infrared light, and is not particularly limited in the embodiments of the present application.
The first camera 15 is used for shooting light spots formed by the light projected to the target object by the projector 12. Illustratively, the first camera 15 may receive reflections of the light spots emitted by the projector 12 and take 2D infrared images. In the embodiment of the present application, the first camera 15 is an infrared camera. The infrared camera adopts optical glass to eliminate the focal plane offset of visible light and infrared light, so that light rays from the visible light to the infrared light area can be imaged on the same focal plane, and images can be clear. In addition, the infrared camera also adopts a multilayer light-transmitting film to increase the transmittance of infrared rays.
The second camera 14 is used to capture a two-dimensional image of the object. Illustratively, the second camera 14 is an RGB camera for capturing a color image of the subject. Wherein R, G, B represents three colors of red, green and blue.
As an optional scheme, the sensor module 10 further includes a floodlight 13, and the floodlight 13 is disposed in the frame 16 and is used for illuminating the target object to improve the brightness of the target object, so as to improve the face recognition effect. Exemplarily, the floodlight 13 is an infrared floodlight, which can emit infrared light for supplementing infrared light to the target object to improve the shooting effect of the first camera 15.
It will be appreciated that in use of the sensor module 10, both the projector 12 and the floodlight 13 emit infrared light, in order to avoid the object being too close to the sensor module, which could cause the emitted infrared laser light to harm the human eye. The sensor module 10 provided by the embodiment of the present application further includes a distance sensor 11 disposed in the frame 16, where the distance sensor 11 is used for detecting a distance from an object to the sensor module 10. When the sensor module 10 is applied to a face recognition module, when a main board of the face recognition module receives that the distance from the target object detected by the distance sensor 11 is too short, the alarm can be controlled to give an alarm to remind the target object. It should be understood that the alarm of the main board according to the detected distance is a conventional alarm measure, and the circuit connection relationship between the main board, the distance sensor 11 and the alarm will not be described in detail herein.
With continued reference to fig. 2, when the projector 12, the first camera 15, the second camera 14, the floodlight 13 and the distance sensor 11 are disposed within the frame 16, the projector 12, the first camera 15, the second camera 14, the floodlight 13 and the distance sensor 11 are arranged in a single row. Wherein the floodlight 13 is positioned in the middle of the frame 16; the first camera 15 and the second camera 14 are positioned at one side of the floodlight 13; the distance sensor 11 and the projector 12 are located on the other side of the floodlight 13. When the above structure is adopted, the floodlight 13 is located at the middle position of the frame 16, and when the floodlight is used for light compensation, the light can be more uniformly irradiated to the target object. The projector 12 is close to the floodlight 13 so that the irradiated light can be uniformly irradiated to the target object. And the distance sensor 11 is positioned at the outermost end, so that the detection distance can be ensured, and the influence of the arranged distance sensor 11 on the work of other functional devices can be avoided.
As can be seen from the above description, the sensor module 10 according to the embodiment of the present invention can acquire images representing different characteristics of the target object, such as RGB images, IR images, and depth images of the target object, by matching the projector 12 with the first camera 15, and input 3 images into the biopsy model, so as to obtain a biopsy result and improve the accuracy of biopsy. In addition, when carrying out face payment, through the cooperation of projecting apparatus 12, first camera 15, second camera 14, can carry out intelligent acquisition to face information automatically, extract face facial characteristics, can carry out the collection of different angles to the static face, the developments face of people's face to reach identification's purpose and accomplish light payment, improve face identification's the degree of accuracy.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a face recognition module 100 according to an embodiment of the present disclosure. The face recognition module 100 provided in the embodiment of the present application is composed of a plurality of stacked layer structures. Illustratively, the face recognition module 100 includes a first bracket 20, a main board 30, and a sensor module 10, which are stacked. The first bracket 20 is located in the middle, and the main board 30 and the sensor module 10 are respectively arranged on two sides of the first bracket 20, so as to form a sandwich structure.
For convenience of understanding, first, the relationship between the three is described, and the first bracket 20 serves as a supporting structure of the entire face recognition module 100 and is used for fixing the sensor module 10 and the main board 30; the sensor module 10 is used for adopting the image of the target object, and the main board 30 is used for processing the image collected by the sensor module 10 to obtain the face information of the target object. It should be understood that the main board 30 obtains the face information according to the image acquisition of the target object, which is common information processing in the prior art, and is specifically implemented by a processor or a circuit, and is not specifically limited in the embodiment of the present application.
Referring also to fig. 3, fig. 3 is an exploded view of the face recognition module 100.
The first bracket 20 serves as a supporting structure of the whole face recognition module 100, and the first bracket 20 is a plate-shaped structure having two opposite surfaces, and the two surfaces respectively serve as assembling surfaces. In assembly, the sensor module 10 is fixed to one surface of the first bracket 20, and the main board 30 is fixed to the other surface of the first bracket 20.
It should be understood that the first bracket 20 provided in the embodiments of the present application may be made of a metal material or a non-metal material, and only needs to have a certain supporting strength. For example, the first bracket 20 may be made of different materials such as aluminum, stainless steel, plastic, resin, etc.
The main board 30 is used as a data processing component of the face recognition module 100, and a circuit capable of processing an image acquired by the sensor module 10 is disposed thereon, and a specific circuit on the main board 30 is not specifically limited in this embodiment, and a conventional circuit for processing image data in the prior art may be used, and therefore details are not repeated in this embodiment.
When the main board 30 is connected to the first bracket 20, the main board 30 is detachably and fixedly connected to the first bracket 20. Specifically, different connection modes such as threaded connection, clamping connection and the like can be adopted.
For example, the first bracket 20 and the main plate 30 may be connected by a first threaded connector 70, and the first bracket 20 is provided with a threaded hole corresponding to the first threaded connector 70. During assembly, the first threaded connector 70 is threaded through the main plate 30 and then screwed into the threaded hole, thereby fixing the main plate 30 to the first bracket 20.
It should be understood that although fig. 3 illustrates that the main plate 30 is locked on the first bracket 20 by two first threaded connectors 70 arranged diagonally, the number of the first threaded connectors 70 is not particularly limited in the embodiment of the present application, and the first threaded connectors 70 may be different in number of two, three, four, etc., as long as the main plate 30 can be fixed on the first bracket 20.
As an alternative, when the main board 30 is fixedly connected to the first bracket 20, a space for accommodating electronic devices on the main board 30 is formed between the first bracket 20 and the main board 30. That is, when the motherboard 30 is assembled, the side on which the electronic device is disposed faces the first bracket 20, and when the motherboard 30 and the first bracket 20 are fixed, the electronic device can be accommodated in the gap between the first bracket 20 and the motherboard 30. At this time, the first bracket 20 may be regarded as a protective case of the electronic device, thereby improving the safety of the electronic device.
When the sensor module 10 is assembled with the first bracket 20, the sensor module 10 is detachably and fixedly connected with the first bracket 20. Specifically, the sensor module 10 and the first bracket 20 may be connected by different connection methods, such as a snap connection or a threaded connection.
The first bracket 20 and the sensor module 10 are connected by a screw connection. The face recognition module 100 further includes a second bracket 50, and the second bracket 50 serves as a support structure for the sensor module 10. When assembled, the frame of the sensor module 10 is secured to the second bracket 50. Illustratively, the frame of the sensor module 10 is fixed to the second bracket 50 by means of bonding.
The second bracket 50 is stacked with the first bracket 20, and the second bracket 50 is located on a side of the first bracket 20 facing away from the main board 30. When assembled, the second bracket 50 is removably and fixedly attached to the first bracket 20. Illustratively, the second bracket 50 is connected with the first bracket 20 through a second threaded connector 80, and the first bracket 20 is provided with a threaded hole corresponding to the second threaded connector 80. The second screw connector 80 is screwed into the screw hole after passing through the second bracket 50, thereby fixing the second bracket 50 to the first bracket 20.
When the structure is adopted, the clamping force generated by the second threaded connector 80 on the second bracket 50 acts on the second bracket 50 and does not act on the sensor module 10, so that the safety of the sensor module 10 during assembly is ensured.
It should be understood that although fig. 3 illustrates that the second bracket 50 is locked to the first bracket 20 by two second threaded connectors 80 arranged diagonally, the number of the second threaded connectors 80 is not particularly limited in the embodiment of the present application, and the second threaded connectors 80 may be different in number of two, three, four, etc., as long as the second bracket 50 can be fixed to the first bracket 20.
As an optional solution, in order to further improve the safety of the sensor module 10 during use, when the sensor module 10 is fixed on the second bracket 50, a shock-absorbing silicone is disposed between the sensor module 10 and the second bracket 50. The damping silica gel is used for providing the damping effect for sensor module 10, falls or when the collision appears at face identification module 100 accident, can reduce the power that sensor module 10 received through the damping silica gel, improves sensor module 10's security.
When the main board 30 is electrically connected with the sensor module 10, the flexible circuit board 40 is used to electrically connect the two, so that the data detected by the sensor module 10 can be transmitted to the main board 30 through the flexible circuit board 40 for processing. It should be understood that the flexible circuit board 40 is only a specific implementation manner provided in the embodiment of the present application, and in the embodiment of the present application, the electrical connection structure between the main board 30 and the sensor module 10 is not specifically limited, for example, a conductive wire or a plug connector may also be used to implement the conductive connection between the two.
As shown in fig. 3, when the flexible circuit board 40 is used to connect the main board 30 and the sensor module 10, the flexible circuit board 40 has a U-shaped structure, and the flexible circuit board 40 spans the first bracket 20. The first end of the flexible circuit board 40 and the main board 30 are located on the same side of the first bracket 20, and the first end of the flexible circuit board 40 is electrically connected with the main board 30; the second end of the flexible circuit board 40 is located on the same side of the first bracket 20 as the sensor module 10, and the second end of the flexible circuit board 40 is electrically connected to the sensor module 10.
It should be understood that, the mainboard 30 provided in the embodiment of the present application can perform data transmission between the flexible circuit board 40 and the sensor module 10, the projector, the first camera, the second camera, the floodlight distance sensor and other devices are all connected with the mainboard, and the mainboard can process the images shot by the first camera and the second camera to obtain the face recognition information of the target object. In addition, the main board can control the floodlight and the projector to work. The information interaction between the main board and the projector, the first camera, the second camera and the floodlight distance sensor is the existing common information interaction, and the main board obtains the face recognition information of the target object according to the images shot by the first camera and the second camera and is also the common information processing in the prior art, so the detailed description is not given in this embodiment.
The face recognition module 100 provided in the embodiment of the present application further includes a debugging board 60, where the debugging board 60 is electrically connected to the main board 30, and is used to debug the face recognition module 100. Illustratively, the debug board 60 is provided with a USB interface and a debug port. The USB interface is connected with an external device to transmit data, and the external device can be connected with the face recognition module 100 through the debugging port to debug.
When assembled, the adaptor plate 60 is removably and fixedly attached to the first bracket 20. Illustratively, the adaptor plate 60 may be snap-fitted to the first bracket 20 or may be fixed to the first bracket 20 by a threaded connection. As shown in fig. 3, the debugging plate 60 is fixed to the first bracket 20 by two third screw connectors 90 (bolts or screws), but it should be understood that the number of the third screw connectors 90 is not particularly limited in the embodiment of the present application, and the number of the third screw connectors 90 may be two, three, etc. in different numbers.
It can be seen from the above description that the face identification module 100 that this application embodiment provided is through first support 20 as bearing structure, fixed sensor module 10 and mainboard 30 respectively, when keeping in repair or changing the part on the face identification module 100, only need to correspond need to be changed or the part of maintenance take off can, made things convenient for the maintenance to the module, when the part damages simultaneously, need not change whole face identification module, waste is reduced. In addition, the sensor module acquires the three-dimensional information of the target object through the cooperation of the projector and the first camera, and simultaneously, the sensor module is matched with the two-dimensional image acquired by the second camera, so that the three-dimensional image of the target object can be obtained, and the accuracy of face recognition is improved.
Referring to fig. 4, an embodiment of the present application further provides a face recognition device, which includes a housing, and the face recognition module 100 of any one of the foregoing embodiments disposed in the housing. The housing serves as a support structure of the whole face recognition device, and is used for supporting and protecting the face recognition module 100.
The casing includes detachable backshell 200 and apron 300, after face identification module 100 assembles in backshell 200, closes in order to seal face identification module 100 in the space that apron 300 and casing enclose through apron 300 lid.
As can be seen from the structure shown in fig. 4, the face recognition module 100 is directly wrapped by the shell, so that the whole face recognition device is small and exquisite, and can be conveniently used in cooperation with other devices for face payment. Exemplarily, the face recognition device can be conveniently clamped on an upper computer (a supermarket cash register), and the face recognition device can be assembled by adopting a smaller installation space due to a smaller size. In addition, the face recognition equipment can be directly provided with a tripod for supporting. It can be seen from the above examples that the face recognition device provided by the embodiment of the present application adopts a relatively compact structure, so that the size is relatively small, the occupied space is relatively small, and the face recognition device is convenient to disassemble and assemble.
Referring to fig. 5, fig. 5 is an exploded view showing a detailed structure of a face recognition device according to an embodiment of the present application. When the cover plate 300 is connected with the rear shell 200, the cover plate 300 is connected with the rear shell 200 in a sealing mode through the cover plate gum 400, so that the sealing effect of the face recognition device is improved, and dust is prevented from entering the shell.
As an optional scheme, the face recognition device further comprises dustproof cotton 500 for blocking a gap between the sensor module and the window. As shown in fig. 5, the dust-proof cotton 500 is disposed between the sensor module and the cover plate 300 when assembled, and when the cover plate 300 is closed on the rear case 200, the dust-proof cotton 500 is pressed by the cover plate 300 to be deformed so as to seal the gap between the cover plate 300 and the sensor module. It should be understood that,
it should be understood that the front cover and dust cotton 500 has a window thereon for cooperating with the sensor module. For example, when the sensor module comprises two sensors, one projector 12 and one floodlight 13, the cover plate 300 and the dustproof cotton 500 are provided with four windows corresponding to four components of the sensor module one by one, so that light emitted from or received by the sensor module can pass through the cover plate 300 and the dustproof cotton 500.
When the face recognition module 100 is fixed in the rear case 200, different methods, such as bonding, clipping or connecting by a threaded connector, may be adopted. Illustratively, the face recognition module 100 is fixed in the rear case 200 by means of bonding.
As an alternative, the rear case 200 may be made of a metal material, such as aluminum, stainless steel, and other common metals with a good thermal conductivity. At this time, the rear case 200 may also serve as a heat dissipation structure of the face recognition module 100 in addition to serving as a support structure of the face recognition module 100. During assembly, the main board 30 of the face recognition module 100 is bonded in the rear case 200 through the heat conductive silicone 600. When the face recognition module 100 works, the heat generated on the main board 30 can be rapidly dissipated to the rear case 200 through the heat-conducting silica gel 600, so that the heat dissipation effect of the face recognition module 100 can be improved.
As an optional solution, the face recognition device may further include a port cover 700, and the port cover 700 may cover interfaces on the debugging board, such as the USB port and the debugging port, to prevent dust from falling.
As shown in fig. 6, an embodiment of the present application further provides a face recognition system, where the face recognition system includes any one of the face recognition apparatuses 1000 described above, and a server 2000 connected to the face recognition apparatus; the server 2000 is used to store a face image of an object photographed by the face recognition apparatus 1000. When the structure is adopted, the three-dimensional information of the target object is acquired through the matching of the projector and the first camera, the two-dimensional image is acquired through the second camera, and the living body detection result is acquired through the matching of the three-dimensional information and the two-dimensional image, so that the living body detection precision is improved. In addition, as bearing structure through first support, fixed sensor module and mainboard respectively, when keeping in repair or changing the part on the face identification module, only need to correspond need to be changed or the part of maintenance take off can, made things convenient for the maintenance to the module, when the part damages simultaneously, need not change whole face identification module, reduced extravagantly.
Finally, it should be noted that: the above-mentioned embodiments are merely specific embodiments of the present disclosure, which are used for illustrating the technical solutions of the present disclosure and not for limiting the same, and the scope of the present disclosure is not limited thereto, and although the present disclosure is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive of the technical solutions described in the foregoing embodiments or equivalent technical features thereof within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present disclosure, and should be construed as being included therein. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims (17)

1. A sensor module is used for face recognition and is characterized by comprising a frame, a projector, a first camera and a second camera, wherein the projector, the first camera and the second camera are arranged in the frame;
the projector is used for projecting light rays for identifying the three-dimensional information of the target object to the target object;
the first camera is used for shooting light spots formed by the light rays projected to the target object by the projector;
the second camera is used for shooting a two-dimensional image of the target object.
2. The sensor module of claim 1, further comprising a floodlight disposed within the frame, the floodlight for illuminating the target.
3. The sensor module of claim 2, further comprising a distance sensor disposed within the frame;
the distance sensor is used for detecting the distance from the target object to the sensor module.
4. The sensor module of claim 3, wherein the projector, the first camera, the second camera, the floodlight, the distance sensor are arranged in a single row within the frame; wherein,
the floodlight is positioned in the middle of the frame;
the first camera and the second camera are positioned on one side of the floodlight;
the distance sensor and the projector are located on the other side of the floodlight.
5. The sensor module of any one of claims 1 to 4, wherein the projector is an infrared light projector;
the first camera is an infrared camera;
the second camera is an RGB camera.
6. The utility model provides a face identification module which characterized in that includes: the system comprises a stacked main board, a first bracket and a sensor module; the sensor module is the sensor module according to any one of claims 1 to 5;
the sensor module and the main board are respectively arranged on two opposite sides of the first support;
the main board is detachably and fixedly connected with the first bracket;
the sensor module is detachably connected with the first support;
the sensor module is electrically connected with the mainboard.
7. The face recognition module of claim 6, further comprising a second bracket, wherein the frame of the sensor module is fixed to the second bracket; the second support and the first support are arranged in a stacked mode and are fixedly connected with the first support in a detachable mode.
8. The face recognition module of claim 7, wherein a shock-absorbing silicone is disposed between the frame and the second support.
9. The face recognition module of claim 6, further comprising a debugging board;
the debugging plate is fixedly connected with the first support in a detachable mode, and the debugging plate is electrically connected with the main board.
10. The face recognition module as claimed in claim 9, wherein the debugging board is provided with a USB interface and a debugging port.
11. The face recognition module set according to any one of claims 6 to 10, further comprising a flexible circuit board, wherein the sensor module set is electrically connected to the main board through the flexible circuit board.
12. The face recognition module of claim 11, wherein the flexible circuit board is of a U-shaped configuration, and the flexible circuit board spans across the first support.
13. A face recognition device, comprising a housing, and the face recognition module set forth in any one of claims 6-12 disposed in the housing.
14. The face recognition device of claim 13, wherein the housing comprises a back shell and a cover plate;
the cover plate is provided with a window matched with the sensor module;
the face recognition equipment further comprises dustproof cotton used for blocking a gap between the sensor module and the window.
15. The face recognition device of claim 14, wherein the rear housing is a metal rear housing;
the face recognition equipment also comprises heat-conducting silica gel;
the mainboard passes through heat conduction silica gel bonds in the backshell.
16. The face recognition device of claim 15, wherein the cover plate is connected to the rear housing in a sealing manner by a cover plate adhesive.
17. A face recognition system, comprising the face recognition device of any one of claims 13 to 16, a server connected to the face recognition device; the server is used for storing the face image of the target object shot by the face recognition equipment.
CN202121480771.7U 2021-06-30 2021-06-30 Sensor module, face identification module and face identification equipment Active CN215068289U (en)

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PCT/CN2021/127448 WO2023273068A1 (en) 2021-06-30 2021-10-29 Sensor module, facial recognition module, facial recognition apparatus and system

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CN113824863A (en) * 2021-09-10 2021-12-21 盐城鸿石智能科技有限公司 Device for enhancing precision of miniaturized 3D structured light face recognition module

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JP6686496B2 (en) * 2015-09-25 2020-04-22 富士電機株式会社 Controller system, supporting device
CN106840034A (en) * 2015-12-04 2017-06-13 宁波舜宇光电信息有限公司 3 D scanning system and its application with the speckle projector
CN112287727A (en) * 2019-07-24 2021-01-29 云从科技集团股份有限公司 Structured light equipment, detection module and electronic terminal
CN111368799A (en) * 2020-03-27 2020-07-03 上海锐翊通讯科技有限公司 Binocular structure optical module

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113824863A (en) * 2021-09-10 2021-12-21 盐城鸿石智能科技有限公司 Device for enhancing precision of miniaturized 3D structured light face recognition module

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