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An image recognition module based on deep neural network

A technology of deep neural network and image recognition, applied in character and pattern recognition, collaborative devices, instruments, etc., can solve problems such as lack of design for outdoor activities, lack of multi-functional acquisition design, etc.

Active Publication Date: 2022-02-01
HEBEI NORMAL UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • An image recognition module based on deep neural network
  • An image recognition module based on deep neural network
  • An image recognition module based on deep neural network

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Embodiment Construction

[0029] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0030] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, or in a specific orientation. construction and operation, and therefore cannot be cons...

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Abstract

The invention discloses an image recognition module based on a deep neural network, which includes an image recognition module main body, a recognition automatic positioning device and a multifunctional recognition device. The front of the image recognition module main body is movably connected with a recognition automatic positioning device. The inner side of the main body of the module is fixedly connected with a multi-functional recognition device, the bottom of the main body of the image recognition module is fixedly connected with an outdoor recognition activity mechanism, and the bottom of one end of the main body of the image recognition module is fixedly connected with a storage side box, which is very good It reflects the convenience of storage of the identification module. The movable push rod well reflects the convenience of the device. The outdoor identification mechanism greatly improves the convenience of the device. The multi-functional identification device is a good embodiment The diversity of image recognition functions of the device is demonstrated, and the recognition automatic positioning device well reflects the automatic recognition and positioning of the device, which is suitable for use in the field of image recognition technology and has broad 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K17/00G06V10/141B60B33/00
CPCG06K17/0022B60B33/0078G06V10/141
Inventor 陈晓
Owner HEBEI NORMAL UNIVERSITY OF SCIENCE AND TECHNOLOGY
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