CN216310860U

CN216310860U - Face recognition equipment based on machine learning

Info

Publication number: CN216310860U
Application number: CN202122864636.9U
Authority: CN
Inventors: 蒋雯音
Original assignee: Ningbo College of Health Sciences
Current assignee: Ningbo College of Health Sciences
Priority date: 2021-11-22
Filing date: 2021-11-22
Publication date: 2022-04-15
Anticipated expiration: 2031-11-22

Abstract

The utility model provides a human face recognition device based on machine learning, wherein a vertical rod is arranged at the lower side of a recognition device main body, the lower side of the upright stanchion is fixed with the base, the upper side of the identification equipment main body is provided with a sliding clamping groove, the interior of the sliding clamping groove is connected with a camera module in a sliding way, slide blocks are arranged at the two sides of the camera module, the sliding block is of a prismatic block structure with a rectangular section, the sliding block is arranged inside the sliding clamping groove in a sliding manner, a screw hole is arranged at the rear side of the sliding clamping groove, the camera module is clamped at the upper side of the identification device body in a sliding way and is fixed with the sliding clamping groove through the sliding blocks at the two sides of the camera module, the design can prevent the camera module from moving in the horizontal direction, the clamping structure is clamped with the through hole in the identification equipment main body, and the design can prevent the camera module from moving in the vertical direction.

Description

Face recognition equipment based on machine learning

Technical Field

The utility model discloses face recognition equipment based on machine learning, and relates to the field of electronic equipment.

Background

With the continuous progress of society, face recognition gradually enters the field of vision of the public. The human face and other biological characteristics of the human body such as fingerprints, palm prints, irises, retinas and the like have uniqueness, and the uniqueness can be used for identifying the identity of the user. The face recognition technology can be applied to face attendance in the prior art, and because face recognition's precision is higher, the face is punched the card and can be effectively prevented other people from replacing the emergence of the condition of punching the card, promotes the accuracy of punching the card, but traditional identification equipment can't upgrade according to the progress of algorithm, so need a recognition device who is convenient for change camera module to solve this problem.

SUMMERY OF THE UTILITY MODEL

In view of the defects in the prior art, the present invention aims to provide a face recognition device based on machine learning, so as to solve the problems in the background art.

In order to achieve the purpose, the utility model is realized by the following technical scheme: the utility model provides a face identification equipment based on machine learning, includes the identification equipment main part, the downside position of identification equipment main part is provided with the pole setting, the downside and the base of pole setting are fixed mutually, sliding clamping groove has been seted up to the upside position of identification equipment main part, sliding clamping groove's inside sliding connection has camera module, camera module's both sides position is provided with the slider, the slider is the arris piece structure of rectangle for the cross-section, the slider slides and sets up the inside at sliding clamping groove, sliding clamping groove's rear side position is provided with the screw, and the inside of screw has closed joint structure soon, joint structure and the through-hole looks joint of setting at identification equipment main part rear side.

Further, the bottom terminal surface of camera module is provided with the laminating pad, the laminating pad is the component that adopts flexible material preparation to form.

Furthermore, the vertical rod is of a telescopic rod structure, a fixing stud is arranged at the upper side of the vertical rod, and the fixing stud is screwed with a screw hole formed in the lower side of the identification equipment main body.

Further, the clamping structure comprises an assembly barrel, the assembly barrel is of a cylindrical structure, a sliding block is connected inside the assembly barrel in a sliding mode, a clamping column is arranged at one side of the sliding block and penetrates through a through hole in the rear side of the assembly barrel and is clamped with the rear side of the identification device main body, the end face of the other side of the sliding block is attached to one end of a supporting spring, and the other end of the supporting spring is attached to the barrel wall of the assembly barrel.

Further, the one end that the assembly section of thick bamboo was stretched out to the joint post is hemispherical structure, the diameter of joint post is the same with the diameter of identification equipment main part rear side through-hole.

Furthermore, the assembling cylinder is provided with a dismounting groove at one end extending out of the clamping column, and the dismounting groove is of an inwards-concave groove hole structure.

Furthermore, the base is of a frustum pyramid structure with a small upper end diameter and a large lower end diameter.

Further, the slider is cylindrical structure, the outer wall of slider and the inner wall of an assembly section of thick bamboo are laminated mutually.

Further, the position of base and pole setting junction is provided with the reinforcement arris strip, the reinforcement arris strip is right triangle arris plate structure.

Furthermore, a balancing weight is fixed at the bottom of the base.

The utility model has the beneficial effects that: the camera module is clamped to the upper side of the identification equipment body in a sliding mode, sliding blocks on two sides of the camera module are fixed with the sliding clamping grooves, the camera module can be prevented from moving in the horizontal direction due to the design, the clamping structure is clamped with the through holes in the identification equipment body, and the camera module can be prevented from moving in the vertical direction due to the design;

and under supporting spring's effect, the slider drives the joint post and stretches out an assembly section of thick bamboo, then the joint post is fixed with the through-hole in the identification equipment main part, and this design convenient and fast's realization is fixed camera module, great improvement camera module fixed convenience, adopt this design to be convenient for carry out different specification camera module's selection according to the needs of reality, realized the needs of modularization assembly.

Drawings

Other features, objects and advantages of the utility model will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:

FIG. 1 is a schematic structural diagram of a face recognition device based on machine learning according to the present invention;

FIG. 2 is an enlarged view of a portion of FIG. 1 at A;

FIG. 3 is a schematic structural diagram of a camera module in a face recognition device based on machine learning according to the present invention;

FIG. 4 is an installation diagram of a clamping structure in a face recognition device based on machine learning according to the present invention;

FIG. 5 is a cross-sectional view of a clamping structure in a face recognition device based on machine learning according to the present invention;

in the figure: 1-identification equipment main body, 2-upright rod, 3-base, 4-camera module, 5-sliding clamping groove, 6-clamping structure, 7-sliding block, 61-assembly cylinder, 62-disassembly groove, 63-clamping column, 64-sliding block and 65-supporting spring.

Detailed Description

In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the utility model easy to understand, the utility model is further described with the specific embodiments.

Referring to fig. 1-5, the present invention provides a technical solution: a human face recognition device based on machine learning comprises a recognition device main body 1, wherein a vertical rod 2 is arranged at the lower side position of the recognition device main body 1, the lower side of the vertical rod 2 is fixed with a base 3, the base 3 is of a frustum pyramid structure with a small upper end diameter and a large lower end diameter, a balancing weight is fixed at the bottom position inside the base 3, so that the gravity center of the whole structure is reduced, and stability is kept favorably, a sliding clamping groove 5 is formed at the upper side position of the recognition device main body 1, a camera module 4 is connected inside the sliding clamping groove 5 in a sliding mode, sliding blocks 7 are arranged at two side positions of the camera module 4, each sliding block 7 is of a prism structure with a rectangular cross section, each sliding block (7) is arranged inside the sliding clamping groove 5 in a sliding mode, a screw hole is formed in the rear side position of the sliding clamping groove 5, a clamping structure 6 is screwed inside the screw hole, and the clamping structure 6 is clamped with a through hole formed in the rear side of the recognition device main body 1, the bottom end face of the camera module 4 is provided with a fitting pad, and the fitting pad is a member made of a flexible material.

Pole setting 2 is telescopic rod structure, and the upside position of pole setting 2 is provided with fixing stud, and fixing stud closes with seting up at the screw hole of 1 downside of identification equipment main part soon, and the position of

base

3 and 2 junctions of pole setting is provided with the reinforcement arris strip, and the reinforcement arris strip is right angled triangle arris plate structure, and then makes the joint strength between the two promote.

The clamping structure 6 comprises an assembly barrel 61, the assembly barrel 61 is a cylindrical structure, a sliding block 64 is connected inside the assembly barrel 61 in a sliding manner, a clamping column 63 is arranged at one side of the sliding block 64, the clamping column 63 penetrates through the assembly barrel 61 to be clamped with a through hole at the rear side of the identification equipment main body 1, the other side end face of the sliding block 64 is attached to one end of a supporting spring 65, the other end of the supporting spring 65 is attached to the barrel wall of the assembly barrel 61, one end, extending out of the assembly barrel 61, of the clamping column 63 is of a hemispherical structure, the diameter of the clamping column 63 is the same as that of the through hole at the rear side of the identification equipment main body 1, under the action of the supporting spring 65, the sliding block 7 drives the clamping column 63 to extend out of the assembly barrel 61, then the clamping column 63 is fixed with the through hole in the identification equipment main body 1, the design is convenient and fast to realize the fixation of the camera module 4, and greatly improves the convenience of the fixation of the camera module 4, adopt this design to be convenient for carry out the selection of different specification camera module 4 according to the needs of reality, realized the needs of modularization assembly, an assembly section of thick bamboo 61 stretches out the one end of joint post 63 and has seted up the dismantlement groove 62, dismantlement groove 62 is inside sunken slotted hole structure, is convenient for carry out the rotating to an assembly section of thick bamboo 61 through the instrument through the assembly groove, conveniently dismantles an assembly section of thick bamboo 61, slider 7 is cylindrical structure, the outer wall of slider 7 is laminated with the inner wall of an assembly section of thick bamboo 61 mutually.

The specific implementation mode is as follows: when using, at first install the upside position of stand with identification equipment main part 1, then install the upside position of base 3 with the stand, next through extrusion joint post 63, make joint post 63 stretch into the inside of an assembly section of thick bamboo 61, supporting spring 65 is compressed at this in-process, then with the inside of camera module 4 joint to the sliding tray, after camera module 4 and sliding tray 5 complete joint, under supporting spring 65's effect, slider 7 drives joint post 63 and stretches out an assembly section of thick bamboo 61, then joint post 63 is fixed with the through-hole on the identification equipment main part 1, this convenient and fast's of design realization is to camera module 4's fixing, great improvement camera module 4 fixed convenience, adopt this design to be convenient for carry out the selection of different specification camera module 4 according to actual needs, the needs of modularization assembly have been realized.

While there have been shown and described what are at present considered the fundamental principles and essential features of the utility model and its advantages, it will be apparent to those skilled in the art that the utility model is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the utility model being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims

1. A face recognition apparatus based on machine learning, comprising an apparatus main body (1) for recognition, characterized in that: the downside position of discernment equipment main part (1) is provided with pole setting (2), the downside and base (3) of pole setting (2) are fixed mutually, slip draw-in groove (5) have been seted up to the upside position of discernment equipment main part (1), the inside sliding connection of slip draw-in groove (5) has camera module (4), the both sides position of camera module (4) is provided with slider (7), slider (7) are the arris piece structure of rectangle for the cross-section, slider (7) slide and set up the inside at slip draw-in groove (5), the rear side position of slip draw-in groove (5) is provided with the screw, and the inside of screw closes soon has joint structure (6), joint structure (6) and the through-hole joint of setting in discernment equipment main part (1) rear side.

2. The face recognition device based on machine learning of claim 1, wherein: the bottom terminal surface of camera module (4) is provided with the laminating pad, the laminating pad is the component that adopts flexible material preparation to form.

3. The face recognition device based on machine learning of claim 1, wherein: the identification device is characterized in that the vertical rod (2) is of a telescopic rod structure, a fixing stud is arranged at the upper side position of the vertical rod (2), and the fixing stud is screwed with a screw hole formed in the lower side of the identification device main body (1).

4. The face recognition device based on machine learning of claim 1, wherein: the clamping structure (6) comprises an assembly barrel (61), the assembly barrel (61) is of a cylindrical structure, a sliding block (64) is connected to the inside of the assembly barrel (61) in a sliding mode, a clamping column (63) is arranged on one side of the sliding block (64), the clamping column (63) penetrates through the assembly barrel (61) to be clamped with a through hole in the rear side of the identification device main body (1), the end face of the other side of the sliding block (64) is attached to one end of a supporting spring (65), and the other end of the supporting spring (65) is attached to the barrel wall of the assembly barrel (61).

5. The face recognition device based on machine learning according to claim 4, wherein: the one end that joint post (63) stretched out an assembly section of thick bamboo (61) is hemispherical structure, the diameter of joint post (63) is the same with the diameter of identification equipment main part (1) rear side through-hole.

6. The face recognition device based on machine learning according to claim 4, wherein: the one end that an assembly section of thick bamboo (61) stretched out joint post (63) has seted up disassembly groove (62), disassembly groove (62) are inside sunken slotted hole structure.

7. The face recognition device based on machine learning of claim 1, wherein: the base (3) is of a frustum pyramid structure with a small upper end diameter and a large lower end diameter.

8. The face recognition device based on machine learning according to claim 4, wherein: the slider (7) is of a cylindrical structure, and the outer wall of the slider (7) is attached to the inner wall of the assembling barrel (61).

9. The face recognition device based on machine learning of claim 1, wherein: the position of base (3) and pole setting (2) junction is provided with the reinforcement arris strip, the reinforcement arris strip is right angled triangle arris plate structure.

10. The face recognition device based on machine learning of claim 1, wherein: and a balancing weight is fixed at the bottom inside the base (3).