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Image recognition method and device based on neural network structure

A technology of image recognition device and network structure, which is applied in the direction of cleaning methods using tools, chemical instruments and methods, cleaning methods and utensils, etc., can solve the problems of low safety and poor protection, and achieve the effect of enhancing safety

Pending Publication Date: 2022-05-27
TAIYUAN NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Usually, image recognition devices are used to process images. Traditional devices have poor structure protection and low safety when used.

Method used

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  • Image recognition method and device based on neural network structure
  • Image recognition method and device based on neural network structure
  • Image recognition method and device based on neural network structure

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] The present invention provides a technical solution: an image recognition device based on a neural network structure, comprising a base plate 1, a support rod 2 is fixed around the upper end of the base plate 1, a rectangular cover 3 is fixed on the upper ends of the four support rods 2, and the rectangular cover 3 A number of through holes are opened on the top plate of the rectangular cover 3, a clamping mechanism 4 is arranged at the bottom end of the rectangular cover 3, a cooling motor 7 is arranged on the rectangular cover 3, the output shaft of the cooling motor 7 is connected with a fan blade, and the upper end of the rectangular cover 3 is provided with a The image acquisition mechanism 5 is provided with a protective mechanism 7 outside the image acquisition mechanism 5 .

Embodiment 2

[0028] Based on the image recognition apparatus based on the neural network structure provided in the first embodiment of the present application, the second embodiment of the present application proposes another image recognition apparatus based on the neural network structure. The second embodiment is only a further mode of the first embodiment, and the implementation of the second embodiment will not affect the independent implementation of the first embodiment.

[0029] The second embodiment of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0030] Compared with the first embodiment, this embodiment provides a specific clamping mechanism 4 including a support plate 41 , a ventilation cavity 42 , an inclined cavity 43 , a dust filter 44 , a screw rod 45 , a threaded cylinder 46 and a card frame 47 . , the screw cylinder 46 is rotatably arranged on the bottom plate 1, the screw cylinder 46 is threadedly con...

Embodiment 3

[0032] Based on the image recognition apparatus based on the neural network structure provided in the first embodiment of the present application, the third embodiment of the present application proposes another image recognition apparatus based on the neural network structure. The third embodiment is only a further mode of the first embodiment, and the implementation of the third embodiment will not affect the independent implementation of the first embodiment.

[0033] The third embodiment of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0034] Compared with the first embodiment, a specific protective mechanism 7 is provided in this embodiment, including a round cover 71, a rotating motor 72, an L-shaped rotating rod 73 and a brush 74. The round cover 71 is fixed on the upper end of the rectangular cover 3, A rotating motor 72 is installed on the inner side of the circular cover 71 , the output shaft of t...

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Abstract

The invention discloses an image recognition device based on a neural network structure in the technical field of image recognition, and the device comprises a bottom plate, the periphery of the upper end of the bottom plate is fixedly provided with supporting rods, the upper ends of the four supporting rods are fixedly provided with a rectangular cover, the bottom end of the rectangular cover is provided with a clamping mechanism, the rectangular cover is provided with a heat dissipation motor, and an output shaft of the heat dissipation motor is connected with fan blades. An image acquisition mechanism is arranged at the upper end of the rectangular cover, a protection mechanism is arranged on the outer side of the image acquisition mechanism, and according to the image recognition method based on the neural network structure, a controller, an image acquisition module, an image preprocessing module, an image recognition module, a database and an image judgment module are included; the controller is protected through the rectangular cover and the like, the camera is protected through the round cover, ventilation is conducted through the ventilation cavity and the inclined cavity, ventilation and heat dissipation are conveniently achieved, the position of the supporting plate can be adjusted, and the controller can be conveniently taken out for maintenance.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an image recognition method and device based on a neural network structure. Background technique [0002] In image recognition, there is not only the information that entered the senses at that time, but also the information stored in the memory. The recognition of the image can only be achieved through the process of comparing the stored information with the current information. Image recognition refers to the technology of using computers to process, analyze and understand images to identify various patterns of targets and objects. It is a practical application of deep learning algorithms. At this stage, image recognition technology is generally divided into face recognition and commodity recognition. Face recognition is mainly used in security inspection, identity verification and mobile payment; commodity recognition is mainly used in the process of commodity circu...

Claims

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Application Information

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IPC IPC(8): H05K7/20H05K5/02G06K9/62G06V10/10B08B1/00
CPCH05K7/20136H05K5/0217G06F18/00B08B1/12Y02D10/00
Inventor 郭广行阴桂梅王琳师冬丽陈思
Owner TAIYUAN NORMAL UNIV
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