Face recognition equipment based on big data

Abstract

The invention provides face recognition equipment based on big data, and belongs to the technical field of face recognition equipment, the face recognition equipment comprises a base, a side plate is arranged at the top of the base, a fixing block is slidably connected to the side plate, an equipment body is arranged on the fixing block, and a driving assembly for driving the fixing block to slide in the height direction of the side plate and an ultrasonic sensor are arranged in the side plate. And the ultrasonic sensor is arranged on the base, a standing plate is arranged on the base opposite to the ultrasonic sensor and the equipment body, and a control mechanism in signal connection with the driving assembly, the equipment body and the ultrasonic sensor is arranged on the base. By arranging the ultrasonic sensor and the driving assembly, the height of a person is detected through the ultrasonic sensor, so that the driving assembly controls the height of the equipment body, the equipment body can accurately recognize the face of the person, and the phenomenon that the face cannot be recognized due to the fact that the equipment body does circular motion and cannot capture the face is avoided; and the face recognition efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of face recognition equipment, and in particular to a face recognition equipment based on big data. Background Art

[0002] Facial recognition equipment is a technical device that recognizes people based on their facial features. It is mainly used in security, payment, attendance, finance and other fields. It greatly improves people's quality of life by improving the security and convenience of the recognition process. However, existing facial recognition equipment is usually installed through a fixed base structure, which is not convenient for adjusting the position of the camera during facial recognition, resulting in low efficiency of facial recognition for people of different heights under different light.

[0003] In order to address the above problems, a Chinese patent with an existing announcement number of CN220269022U proposes a face recognition device based on big data. The device rotates a knob, and the knob drives a rotating rod to rotate through a conveyor belt. The rotating rod drives connecting rod two to rotate around the central axis on the other side. At the same time, with the cooperation of connecting rod one, the hydraulic rod at the hydraulic rod will be pushed inward, thereby realizing the fixation and position adjustment of the face recognition device.

[0004] However, although the above-mentioned face recognition device based on big data can drive the rotating rod to rotate through the knob, and then cooperate with connecting rod two, connecting rod one and hydraulic rod for support, so as to realize the adjustment of the position of the face recognition device, the rotating rod of the face recognition device based on big data will drive the face recognition device to make circular motion when it rotates. Since the face recognition device is fixedly connected to the rotating rod, the face recognition device cannot accurately recognize the face of the person. Therefore, the present invention provides a face recognition device based on big data to meet the needs. Summary of the invention

[0005] The purpose of the present invention is to solve the problems existing in the above-mentioned background technology and to propose a face recognition device based on big data.

[0006] The technical problem to be solved by the present invention is to provide a face recognition device based on big data to solve the problem that when the rotating rod of the existing face recognition device rotates, it will drive the face recognition device to move in an arc, thereby causing the face recognition device to be unable to accurately recognize the face of a person.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] A face recognition device based on big data, comprising:

[0009] A base, the top of which is provided with a side plate, the side plate is slidably connected with a fixed block, the fixed block is provided with a device body, and the side plate is provided with a driving component for driving the fixed block to slide along the height direction of the side plate;

[0010] The ultrasonic sensor is arranged on the base, a station plate is arranged on the base facing the ultrasonic sensor and the device body, and a control mechanism connected with the drive assembly, the device body and the ultrasonic sensor signal is arranged on the base.

[0011] Preferably, the driving assembly includes a motor 1, a threaded rod 1 and a slider 1, the threaded rod 1 is rotatably arranged in the side panel, the slider 1 is slidably connected to the side panel, the side panel is provided with a slide groove 1 for sliding the slider 1, the first end of the slider 1 is sleeved and threadedly connected to the threaded rod 1, the second end of the slider 1 is fixedly connected to the fixed block, and the motor 1 is arranged on the side panel and is used to drive the threaded rod 1 to rotate.

[0012] Preferably, two sliding blocks are fixedly connected to both sides of the fixed block, and two sliding grooves are provided on the side panels for the two sliding blocks to slide.

[0013] Preferably, a slider three is fixedly connected to the bottom of the standing board, and a slide groove three for the slider three to slide is provided on the base.

[0014] Preferably, a threaded rod two is rotatably connected in the slide groove three, the threaded rod two passes through and is threadedly connected to the slider three, a bevel gear two is sleeved on the threaded rod two, a rotating shaft is rotatably connected in the base, a bevel gear one meshing with the bevel gear two is sleeved on the rotating shaft, and the rotating shaft and the threaded rod one are connected by a belt transmission mechanism.

[0015] Preferably, a bellows is fixedly connected between the slider three and the slide groove three.

[0016] Preferably, the diameter of the second bevel gear is greater than the diameter of the first bevel gear.

[0017] Preferably, an air outlet cylinder is fixedly connected to the top of the standing board, a duct connecting the bellows and the air outlet cylinder is penetrated through the standing board, and a plurality of air outlet holes are penetrated through the side of the air outlet cylinder facing the standing board.

[0018] Preferably, a protective net is fixedly connected to the air outlet.

[0019] Preferably, it also includes a second motor, which is fixedly connected in the fixed block, the driving shaft of the second motor is fixedly connected to the device body, a face tracking camera is fixedly connected to the side of the device body facing the station board, and the face tracking camera and the second motor are connected to the control mechanism signal.

[0020] Compared with the prior art, the present invention has at least the following beneficial effects:

[0021] In the above scheme, an ultrasonic sensor and a driving component are set up, and the height of a person is detected by the ultrasonic sensor, so that the driving component controls the height of the device body, so that the device body can accurately recognize the face of the person, avoiding the phenomenon that the device body makes an arc movement and fails to capture the face and cannot be recognized, thereby improving the efficiency of face recognition.

[0022] In the above scheme, by setting threaded rod 2, bevel gear 1 and bevel gear 2, through the rotation of threaded rod 1, bevel gear 1 drives bevel gear 2 to rotate, and bevel gear 2 drives threaded rod 2 to rotate, thereby realizing the adjustment of the distance between the stand plate and the equipment body, facilitating the equipment body to accurately recognize the human face and improving the recognition efficiency.

[0023] In the above scheme, by setting up bellows and ducts, the bellows can shield the slide groove three to prevent external impurities from entering. Secondly, when the bellows moves away from the equipment body, the air inside it will be squeezed to the air outlet through the duct and discharged along the air outlet tube, blowing away the dust on the stand board to clean the stand board. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings, which are incorporated herein and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, further serve to explain the principles of the present disclosure and to enable those skilled in the relevant art to make and use the present disclosure.

[0025] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0026] Figure 2 For the present invention Figure 1 Schematic diagram of the local structure from another perspective;

[0027] Figure 3 It is a schematic diagram of the structure of the driving assembly of the present invention;

[0028] Figure 4 It is a partial structural schematic diagram of the belt transmission mechanism, the bellows, the bevel gear 1 and the bevel gear 2 of the present invention;

[0029] Figure 5 For the present invention Figure 4 Schematic diagram of the local structure from another perspective;

[0030] Figure 6 It is a partial structural schematic diagram of the motor 2 and the face tracking camera of the present invention;

[0031] Figure 7It is a schematic diagram of the partial structure of the conduit and the bellows of the present invention;

[0032] Figure 8 It is a schematic diagram of the partial structure of the protective net of the present invention.

[0033] [reference numerals]

[0034] 1. Base; 2. Side panel; 3. Control mechanism; 4. Ultrasonic sensor; 5. Stand plate; 6. Bellows; 7. Slide 1; 8. Slide 2; 9. Drive assembly; 91. Motor 1; 92. Slider 1; 93. Threaded rod 1; 10. Fixed block; 11. Equipment body; 12. Belt drive mechanism; 13. Bevel gear 1; 14. Bevel gear 2; 15. Air outlet tube; 16. Slider 3; 17. Rotating shaft; 18. Threaded rod 2; 19. Face tracking camera; 20. Motor 2; 21. Conduit; 22. Air outlet; 23. Protective net; 24. Slider 2; 25. Slide 3. DETAILED DESCRIPTION

[0035] like Figures 1 to 8 As shown, an embodiment of the present invention provides a face recognition device based on big data, including a base 1, a side panel 2 is provided on the top of the base 1, a fixed block 10 is slidably connected to the side panel 2, a device body 11 is provided on the fixed block 10, a driving component 9 is provided in the side panel 2 for driving the fixed block 10 to slide along the height direction of the side panel 2, an ultrasonic sensor 4 is arranged on the base 1, a standing plate 5 is provided on the base 1 facing the ultrasonic sensor 4 and the device body 11, and a control mechanism 3 is provided on the base 1 that is signal-connected to the driving component 9, the device body 11 and the ultrasonic sensor 4.

[0036] Specifically, when recognizing a face, the person to be detected stands on the standing board 5. At this time, the ultrasonic sensor 4 detects the height of the person. After the detection, the signal is sent to the control mechanism 3, so that the control mechanism 3 controls the driving component 9 to adjust the height of the device body 11, so that the device body 11 can accurately recognize the face of the person, avoiding the phenomenon that the device body 11 makes an arc movement, resulting in the failure to capture the face and causing the inability to recognize, thereby improving the efficiency of face recognition and solving the problem that the rotating rod of the existing face recognition device will drive the face recognition device to make an arc movement when it rotates, thereby causing the face recognition device to be unable to accurately recognize the face of the person.

[0037] It should be noted that the ultrasonic sensor 4 is a device that uses the ultrasonic principle to measure distance, which is particularly common in height detection. Specifically, when the ultrasonic height measuring instrument is working, it will emit ultrasonic signals. When these signals encounter obstacles (such as human bodies), they will generate reflected waves and be received by the sensor. By calculating the time difference between the emission and reception of the echo, combined with the speed of sound, the distance between the sensor and the human body can be accurately calculated, and then the height of the human body can be obtained.

[0038] like Figures 1 to 3 As shown, in the present embodiment, the driving assembly 9 comprises a motor 91, a threaded rod 93 and a slider 92. The threaded rod 93 is arranged in the side panel 2 for rotation. The slider 92 is slidably connected with the side panel 2. The side panel 2 is provided with a slide groove 7 for the slider 92 to slide. The first end of the slider 92 is sleeved and threadedly connected to the threaded rod 93. The second end of the slider 92 is fixedly connected to the fixed block 10. The motor 91 is arranged on the side panel 2 and is used to drive the threaded rod 93 to rotate. Specifically, the threaded rod 93 is driven to rotate by the motor 91, so that the slider 92 slides along the slide groove 7. The slider 92 drives the fixed block 10 to slide along the side panel 2, thereby changing the height of the equipment body 11.

[0039] like Figure 1 , Figure 2 and Figure 6 As shown, in this embodiment, sliders 24 are fixedly connected on both sides of the fixed block 10, and a slide groove 8 is provided on the side panel 2 for the slider 24 to slide. Specifically, the slider 24 is an L-shaped structure, which, together with the slide groove 8, can further improve the stability of the fixed block 10 and the device body 11 sliding along the side panel 2.

[0040] like Figure 4 and Figure 5 As shown, in this embodiment, a slider 3 16 is fixedly connected to the bottom of the station plate 5, a slide groove 3 25 is provided on the base 1 for the slider 3 16 to slide, a threaded rod 2 18 is rotatably connected in the slide groove 3 25, the threaded rod 2 18 penetrates and is threadedly connected to the slider 3 16, a bevel gear 2 14 is sleeved on the threaded rod 2 18, a rotating shaft 17 is rotatably connected in the base 1, a bevel gear 13 meshing with the bevel gear 2 14 is sleeved on the rotating shaft 17, the rotating shaft 17 and the threaded rod 1 93 are connected through a belt transmission mechanism 12, a bellows 6 is fixedly connected between the slider 3 16 and the slide groove 3 25, specifically, when the threaded rod 1 93 rotates, the threaded rod 1 93 drives the rotating shaft 17 to rotate through the belt transmission mechanism 12, The bevel gear 13 drives the bevel gear 2 14 to rotate, and the bevel gear 2 14 drives the threaded rod 2 18 to rotate, so that the slider 3 16 can slide along the slide groove 3 25. The advantage of this is that the distance between the standing board 5 and the device body 11 can be adjusted according to the height of each person, which is convenient for the device body 11 to accurately recognize the face and improve the recognition efficiency. At the same time, the diameter of the bevel gear 2 14 is larger than the diameter of the bevel gear 1 13, so that the arc of the standing board 5 can be avoided from being too large. It should be noted that when the device body 11 is taller, the slider 3 16 drives the rotating plate to slide away from the device body 11, and when the device body 11 descends, the slider 3 16 drives the standing board 5 to slide toward the device body 11.

[0041] like Figure 4 , Figure 5 , Figure 7 and Figure 8 As shown, in this embodiment, an air outlet 15 is fixedly connected to the top of the station board 5, and a duct 21 that connects the bellows 6 and the air outlet 15 is penetrated in the station board 5. A plurality of air outlet holes 22 are penetrated on the side of the air outlet 15 facing the station board 5, and a protective net 23 is fixedly connected to the air outlet holes 22. Specifically, when the station board 5 moves, the station board 5 will drive the bellows 6 to move. The bellows 6 can firstly block the chute 3 25 to prevent external impurities from entering. Secondly, when the bellows 6 moves away from the device body 11, it will The internal air is squeezed to the air outlet 15 through the duct 21 and discharged along the air outlet 22, blowing away the dust on the stand board 5, thereby cleaning the stand board 5; it should be noted that the interior of the air outlet 15 is a hollow structure, and the control mechanism 3 can control the rotation of the motor 191 at any time, that is, to realize the sliding of the slider 16, and the bellows 6 on one side of the stand board 5 is connected with the duct 21, while the other side is not connected. At the same time, the bellows 6 that is not connected with the duct 21 is penetrated by a fine hole connected with the interior thereof to ensure the balance of internal and external pressures.

[0042] As 1 and Figure 6 As shown, in the present embodiment, a second motor 20 is further included, which is fixedly connected in the fixed block 10, and a driving shaft of the second motor 20 is fixedly connected to the device body 11, and a face tracking camera 19 is fixedly connected to the side of the device body 11 facing the stand plate 5, and the face tracking camera 19 and the second motor 20 are connected to the control mechanism 3 by signal. Specifically, the face tracking camera 19 is used to track the face on the stand plate 5, so that the control mechanism 3 controls the second motor 20 to drive the device body 11 to rotate, thereby improving the accuracy of face recognition.

[0043] Working principle:

[0044] When recognizing a person's face, the person to be detected stands on the standing board 5. At this time, the ultrasonic sensor 4 detects the person's height. After the detection, the signal is sent to the control mechanism 3, so that the control mechanism 3 controls the motor 191 to drive the threaded rod 193 to rotate, so that the slider 192 slides along the slide groove 7, and the slider 192 drives the fixed block 10 to slide along the side plate 2. At the same time, when the threaded rod 193 rotates, the threaded rod 193 drives the rotating shaft 17 to rotate through the belt transmission mechanism 12, so that the bevel gear 193 drives the bevel gear 214 to rotate, and the bevel gear 214 drives the threaded rod 218 to rotate, thereby realizing the sliding of the slider 316 along the slide groove 315, so that the device body 11 can accurately recognize the person's face, avoid the phenomenon that the device body 11 makes an arc motion, resulting in the failure to capture the face and causing the failure to recognize, improve the efficiency of face recognition, and solve the problem that the rotating rod of the existing face recognition device will drive the face recognition device to make an arc motion when rotating, thereby causing the face recognition device to fail to accurately recognize the person's face.

Claims

1. A face recognition device based on big data, characterized in that: include: A base (1) is provided with a side plate (2) on the top, a fixed block (10) is slidably connected to the side plate (2), a device body (11) is provided on the fixed block (10), and a driving component (9) is provided inside the side plate (2) for driving the fixed block (10) to slide along the height direction of the side plate (2); An ultrasonic sensor (4) is arranged on the base (1), a station board (5) is arranged on the base (1) facing the ultrasonic sensor (4) and the device body (11), and a control mechanism (3) is arranged on the base (1) and connected to the drive assembly (9), the device body (11) and the ultrasonic sensor (4) by signals.

2. The face recognition device based on big data according to claim 1, characterized in that: The driving assembly (9) comprises a motor (91), a threaded rod (93) and a slider (92); the threaded rod (93) is rotatably arranged in the side plate (2); the slider (92) is slidably connected to the side plate (2); a slide groove (7) is provided on the side plate (2) for the slider (92) to slide; a first end of the slider (92) is sleeved on and threadedly connected to the threaded rod (93); a second end of the slider (92) is fixedly connected to the fixed block (10); the motor (91) is arranged on the side plate (2) and is used to drive the threaded rod (93) to rotate.

3. The face recognition device based on big data according to claim 2, characterized in that: The two sides of the fixed block (10) are fixedly connected with a second sliding block (24), and the side plate (2) is provided with a second sliding groove (8) for the second sliding block (24) to slide.

4. The face recognition device based on big data according to claim 2, characterized in that: A sliding block three (16) is fixedly connected to the bottom of the standing board (5), and a sliding groove three (25) is provided on the base (1) for the sliding block three (16) to slide.

5. The face recognition device based on big data according to claim 4, characterized in that: A threaded rod 2 (18) is rotatably connected in the slide groove 3 (25), and the threaded rod 2 (18) penetrates and is threadedly connected to the slider 3 (16). A bevel gear 2 (14) is sleeved on the threaded rod 2 (18). A rotating shaft (17) is rotatably connected in the base (1), and a bevel gear 1 (13) meshing with the bevel gear 2 (14) is sleeved on the rotating shaft (17). The rotating shaft (17) and the threaded rod 1 (93) are connected via a belt transmission mechanism (12).

6. The face recognition device based on big data according to claim 4, characterized in that: A bellows (6) is fixedly connected between the slider three (16) and the slide groove three (25).

7. The face recognition device based on big data according to claim 5, characterized in that: The diameter of the bevel gear 2 (14) is greater than the diameter of the bevel gear 1 (13).

8. The face recognition device based on big data according to claim 6, characterized in that: An air outlet cylinder (15) is fixedly connected to the top of the standing plate (5), a duct (21) is provided through the standing plate (5) to connect the corrugated pipe (6) and the air outlet cylinder (15), and a plurality of air outlet holes (22) are provided through the side of the air outlet cylinder (15) facing the standing plate (5).

9. The face recognition device based on big data according to claim 8, characterized in that: A protective net (23) is fixedly connected to the air outlet (22).

10. The face recognition device based on big data according to claim 1, characterized in that: It also includes a second motor (20) which is fixedly connected in the fixed block (10); a driving shaft of the second motor (20) is fixedly connected to the device body (11); a face tracking camera (19) is fixedly connected to the side of the device body (11) facing the stand plate (5); and the face tracking camera (19) and the second motor (20) are signal-connected to the control mechanism (3).

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