Image recognition module based on deep neural network

Abstract

The invention discloses an image recognition module based on a deep neural network. The image recognition module comprises an image recognition module main body, a recognition automatic positioning device and a multifunctional recognition device, the front surface of the image recognition module main body is movably connected with the recognition automatic positioning device; the inner side of theimage recognition module main body is fixedly connected with the multifunctional recognition device; the bottom end of the image recognition module main body is fixedly connected with an outdoor recognition moving mechanism; the bottom of one end of the image recognition module main body is fixedly connected with a storage side box; the storage convenience of the recognition module is well reflected by the storage side box; the movable push rod well reflects the stress convenience of the device; the outdoor activity recognition mechanism greatly improves the activity convenience of the device, the multifunctional recognition device well reflects the diversity of image recognition functions of the device, the recognition automatic positioning device well reflects the recognition positioning automation of the device, and the image recognition module is suitable for being used in the technical field of image recognition and has wide development prospects in the future.

Description

technical field [0001] The invention belongs to the technical field of image recognition, in particular to an image recognition module based on a deep neural network. Background technique [0002] The deep neural network has unique advantages in the field of image recognition. It can imitate the structure of the human eye and efficiently recognize the field of view. Compared with the traditional BP neural network, it has the advantages of fewer parameters and higher recognition efficiency. Image recognition is a branch of machine vision. Accurate image recognition results are required in applications, and there are certain requirements for time delay. Subsequent actuators, such as robots and cars, need to make decisions and control based on the results of image recognition. [0003] Since the existing identification devices are fixed in a specific room for use, when the number of identifyrs is large, the indoor environment cannot be well accommodated, and the existing ident...

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Problems solved by technology

[0004] The purpose of the present invention is: in order to solve the problem (proposed in the above-mentioned background technology that does not have a good design for outdoor activities, does not have a multi-functional acquisition design and cannot automatically locate the identification object), a deep neural network-based Image recognition module

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