Fingerprint identification device based on neural network

Abstract

The utility model provides a fingerprint identification device based on a neural network, which relates to the technical field of identification devices and comprises a main body component, a voice broadcast component is fixedly mounted on the front surface of the main body component, an energy storage structure is fixedly mounted on the left side surface of the main body component, and a control structure is arranged on the front surface of the main body component. According to the recognition device based on the neural network, by arranging the fingerprint recognition plate and the image recognition camera, fingerprint information and image information of a user can be scanned, so that the effect of more accurate information recognition is achieved, the situation that information cannot be recognized when fingerprints cannot be scanned is avoided, and the user experience is improved. Compared with the prior art, the fingerprint identification device has the advantages of being wide in application, capable of broadcasting operation steps and identifying information through the broadcasting loudspeaker, convenient to operate, and capable of reducing external collision of the fingerprint identification plate through the cover plate, thereby achieving the effect of better protection performance and prolonging the service life.

Description

Technical Field

[0001] The utility model relates to an identification device, in particular to a fingerprint identification device based on a neural network, belonging to the technical field of identification devices. Background Art

[0002] A fingerprint recognition device based on a neural network is a device that uses neural network technology to perform fingerprint recognition and verification. It is equipped with a fingerprint recognition module responsible for collecting and preprocessing fingerprint images, including steps such as fingerprint image acquisition, grayscale, filtering enhancement, binarization, and refinement to extract fingerprint feature information. The neural network processing module learns and identifies the extracted fingerprint features, and recognizes different fingerprint features by training the neural network model, thereby achieving fingerprint verification and recognition.

[0003] A fingerprint recognition device based on neural network disclosed in CN216161129U includes a body, a fingerprint recognition window is provided in the middle of the front of the body, a groove is provided on the top of the body, a cotton pad soaked in cleaning liquid is installed in the groove, a cover body 1 is hinged at the opening of the groove, a cavity is provided at the bottom of the body, a strip outlet is provided at the bottom of the cavity, a rotating shaft is rotatably connected in the cavity, a paper towel is wound on the rotating shaft, the lower end of the paper towel passes through the outlet, and a cover body 2 is hinged on the outside of the cavity. The utility model has a simple structure, is provided with a paper towel and a cotton pad soaked in cleaning liquid, and can be used to wipe fingers and fingerprint recognition windows. It is easy to use and improves fingerprint recognition efficiency.

[0004] In actual application, the above patent can only identify fingerprint information alone. When the fingerprint of the user is worn out or incomplete, it cannot be identified. Therefore, we propose a fingerprint recognition device based on neural network to solve the above problem. Utility Model Content

[0005] 1. Technical issues to be solved

[0006] The purpose of the utility model is to provide a fingerprint recognition device based on a neural network in order to solve the above problems, so as to solve the problem that the prior art can only recognize fingerprints individually.

[0007] (II) Technical solution

[0008] The utility model is implemented through the following technical scheme: it includes a main body component, a voice broadcast component is fixedly installed on the front of the main body component, an energy storage structure is fixedly installed on the left side of the main body component, a control structure is provided on the front of the main body component, an identification structure is fixedly installed on the front of the main body component, the main body component includes an identification device body, the identification structure includes a mounting groove opened on the front of the identification device body, a fingerprint identification plate is fixedly installed on the inner wall of the mounting groove, an image recognition camera is provided above the mounting groove, and the outer surface of the image recognition camera is fixedly connected to the front of the identification device body.

[0009] Preferably, the left side of the identification device body is respectively provided with an external device interface and a charging interface, and the outer surface of the main component is fixedly connected to two mounting plates, and the outer surface of each mounting plate is threadedly connected to two mounting screws, so that the device can be installed more firmly and make it more stable during use.

[0010] Preferably, the control structure includes a display screen fixedly mounted on the front of the identification device body, and the identification information can be clearly displayed using the display screen. A plurality of control buttons are fixedly mounted on the front of the identification device body, and the identification parameters can be conveniently modified using the control buttons.

[0011] Preferably, two fixing plates are fixedly connected to the outer surface of the identification device body, and a rotating rod is commonly fixedly connected to one side of the two fixing plates close to each other. The outer surface of the rotating rod is rotatably connected to a cover plate adapted to the installation groove, and the cover plate can be used to protect the fingerprint identification plate.

[0012] Preferably, the voice broadcast component includes a placement groove opened on the front side of the identification device body, a broadcast speaker is fixedly installed on the inner wall of the placement groove, and a protective plate adapted to the placement groove is fixedly installed on the outer surface of the identification device body. The protective plate can provide protection for the broadcast speaker, making it more stable during use, which has the advantage of extending the service life of the device.

[0013] Preferably, the energy storage structure includes a power storage chamber opened on the side surface of the identification device body, a reserve power supply is fixedly installed on the inner wall of the power storage chamber, and a sealing plate compatible with the power storage chamber is snapped onto the outer surface of the identification device body. The sealing plate can protect the reserve power supply from external damage, which has the advantage of better protection effect.

[0014] The utility model provides a fingerprint recognition device based on a neural network, which has the following beneficial effects:

[0015] 1. The neural network-based recognition device is equipped with a fingerprint recognition board and an image recognition camera, which can scan the fingerprint information and image information of the user respectively, so as to achieve a more accurate information recognition effect, avoid the situation where the information cannot be recognized when the fingerprint cannot be scanned, and has the advantage of wider application.

[0016] 2. The neural network-based recognition device is provided with a broadcast speaker, which can broadcast the operation steps and whether the information is recognized, and has the advantage of more convenient operation. By providing a cover plate, the fingerprint recognition plate can be reduced from external impact, thereby achieving better protection performance and having the advantage of extending the service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a schematic diagram of the structure of the utility model from a front view perspective;

[0018] Figure 2 It is a schematic diagram of the internal structure of the utility model;

[0019] Figure 3 For the utility model Figure 2 A schematic diagram of the structure enlargement in the middle;

[0020] Figure 4 For the utility model Figure 2 Enlarged schematic diagram of the structure at point B in the middle.

[0021] Description of Reference Numerals

[0022] 1. Main component; 101. Identification device body; 102. Peripheral interface; 103. Charging interface;

[0023] 2. Control structure; 201. Display screen; 202. Control button;

[0024] 3. Identification structure; 301. Fingerprint identification board; 302. Image recognition camera; 303. Mounting slot; 304. Cover plate; 305. Fixing plate; 306. Rotating rod;

[0025] 4. Voice broadcast component; 401. Protective plate; 402. Broadcast speaker; 403. Placement slot;

[0026] 5. Energy storage structure; 501. Sealing plate; 502. Reserve power source; 503. Power storage room;

[0027] 6. Install the plate; 7. Install the screws. DETAILED DESCRIPTION

[0028] The embodiment of the utility model provides a fingerprint recognition device based on a neural network.

[0029] Please refer to Figure 1 and Figure 4 , including a main component 1, a voice broadcast component 4 is fixedly installed on the front of the main component 1, an energy storage structure 5 is fixedly installed on the left side of the main component 1, a control structure 2 is provided on the front of the main component 1, an identification structure 3 is fixedly installed on the front of the main component 1, the main component 1 includes an identification device body 101, the identification structure 3 includes a mounting groove 303 opened on the front of the identification device body 101, a fingerprint identification plate 301 is fixedly installed on the inner wall of the mounting groove 303, an image recognition camera 302 is provided above the mounting groove 303, and the outer surface of the image recognition camera 302 is fixedly connected to the front of the identification device body 101.

[0030] Please refer to Figure 1 and Figure 2 The left side of the identification device body 101 is respectively provided with an external device interface 102 and a charging interface 103. The external device interface 102 can be used to conveniently connect other devices. The charging interface 103 can be used to replenish the power of the device in time when the power is insufficient. The outer surface of the main component 1 is fixedly connected to two mounting plates 6. The outer surface of each mounting plate 6 is threadedly connected to two mounting screws 7. The use of the mounting plates 6 and the mounting screws 7 can make the disassembly and installation of the device simpler, and has the advantage of more convenient inspection and maintenance. The control structure 2 includes a display screen 201 fixedly installed on the front of the identification device body 101. The display screen 201 can clearly display the identification information. A plurality of control buttons 202 are fixedly installed on the front of the identification device body 101. The control buttons 202 can be used to adjust the parameters of the device according to needs.

[0031] Please refer to Figure 4 Two fixing plates 305 are fixedly connected to the outer surface of the recognition device body 101, and a rotating rod 306 is fixedly connected to the side of the two fixing plates 305 close to each other. The outer surface of the rotating rod 306 is rotatably connected to a cover plate 304 adapted to the mounting groove 303. The cover plate 304 can protect the fingerprint recognition plate 301 to prevent the fingerprint recognition plate 301 from being damaged, and has the advantage of better protection performance.

[0032] Please refer to Figure 1 and Figure 3The voice broadcast component 4 includes a placement groove 403 opened on the front side of the identification device body 101, and a broadcast speaker 402 is fixedly installed on the inner wall of the placement groove 403. The broadcast speaker 402 can be used to broadcast the user's tutorial of the device, which has the advantage of being more convenient to use. A protective plate 401 adapted to the placement groove 403 is fixedly installed on the outer surface of the identification device body 101, and the protective plate 401 can be used to protect the broadcast speaker 402. The energy storage structure 5 includes a power storage chamber 503 opened on the side surface of the identification device body 101, and a reserve power supply 502 is fixedly installed on the inner wall of the power storage chamber 503. The use of the reserve power supply 502 has an independent power supply to avoid the situation where it cannot be used in the event of a power outage. The outer surface of the identification device body 101 is clamped with a sealing plate 501 adapted to the power storage chamber 503.

[0033] When the utility model is in use: the user first installs the device at a designated place of use by using the mounting plate 6 and the mounting screws 7 in combination, the recognition parameters of the device can be adjusted by using the control button 202 and the display screen 201 in combination, the operating steps can be prompted to the user by using the broadcast speaker 402, the fingerprint recognition board 301 can be used to scan the fingerprint information of the user, the image recognition camera 302 can be used to scan the image information of the user, and the image information and fingerprint information of the user are recognized by the background neural network, so as to achieve a more accurate effect of identifying the information.

[0034] The above shows and describes the basic principle and main features of the utility model and the advantages of the utility model. Those skilled in the art should understand that the utility model is not limited by the above embodiments. The above embodiments and descriptions are only for explaining the principle of the utility model. Without departing from the spirit and scope of the utility model, the utility model may have various changes and improvements, which fall within the scope of the utility model to be protected. The scope of protection claimed by the utility model is defined by the attached claims and their equivalents.

Claims

1. A fingerprint recognition device based on a neural network, comprising a main component (1), characterized in that: A voice broadcasting component (4) is fixedly installed on the front of the main component (1), an energy storage structure (5) is fixedly installed on the left side of the main component (1), a control structure (2) is provided on the front of the main component (1), and an identification structure (3) is fixedly installed on the front of the main component (1); The main component (1) comprises an identification device body (101), the identification structure (3) comprises a mounting groove (303) opened on the front of the identification device body (101), a fingerprint identification plate (301) is fixedly installed on the inner wall of the mounting groove (303), an image identification camera (302) is arranged above the mounting groove (303), and the outer surface of the image identification camera (302) is fixedly connected to the front of the identification device body (101).

2. The fingerprint recognition device based on neural network according to claim 1, characterized in that: The left side of the identification device body (101) is provided with an external device interface (102) and a charging interface (103), respectively; the outer surface of the main component (1) is fixedly connected to two mounting plates (6), and the outer surface of each mounting plate (6) is threadedly connected to two mounting screws (7).

3. The fingerprint recognition device based on neural network according to claim 1, characterized in that: The control structure (2) comprises a display screen (201) fixedly mounted on the front of the identification device body (101), and a plurality of control buttons (202) are fixedly mounted on the front of the identification device body (101).

4. The fingerprint recognition device based on neural network according to claim 1, characterized in that: Two fixing plates (305) are fixedly connected to the outer surface of the identification device body (101); a rotating rod (306) is fixedly connected to the side surfaces of the two fixing plates (305) close to each other; and a cover plate (304) adapted to the mounting groove (303) is rotatably connected to the outer surface of the rotating rod (306).

5. The fingerprint recognition device based on neural network according to claim 1, characterized in that: The voice broadcast component (4) comprises a placement groove (403) provided on the front side of the identification device body (101); a broadcast speaker (402) is fixedly mounted on the inner wall of the placement groove (403); and a protective plate (401) adapted to the placement groove (403) is fixedly mounted on the outer surface of the identification device body (101).

6. The fingerprint recognition device based on neural network according to claim 1, characterized in that: The energy storage structure (5) comprises a power storage chamber (503) opened on the side surface of the identification device body (101), a reserve power source (502) is fixedly installed on the inner wall of the power storage chamber (503), and a sealing plate (501) adapted to the power storage chamber (503) is snapped onto the outer surface of the identification device body (101).

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