Mobile phone defect inspection vision device based on deep learning

A defect inspection and deep learning technology, applied in optical testing flaws/defects, measuring devices, material analysis by optical means, etc., can solve the problems of long development cycle, few identification items, slow detection speed, etc., to achieve low equipment cost , the effect of high recognition rate and fast detection speed

Pending Publication Date: 2020-05-05
SHENZHEN INTELLIGENT PRECISION INSTR CO LTD
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the process of mobile phone production, it is necessary to confirm whether the mobile phone assembly is defective to ensure the reliability of mobile phone products. Traditional defect detection equipment has the following shortcomings: low recognition rate, few recognition items, especially for defect detection; The speed is slow, the development cycle is long, and the adaptability is poor. In order to solve the above technical problems, a new technical solution is proposed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Mobile phone defect inspection vision device based on deep learning
  • Mobile phone defect inspection vision device based on deep learning
  • Mobile phone defect inspection vision device based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0017] Please refer to the figures, the present invention provides a technical solution: a visual device for mobile phone defect inspection based on deep learning, including a bracket 1, a guide groove 2 is provided on the bracket 1, an image acquisition device 3 is also provided on the bracket 1, and the bracket 1 is also provided with an online positioning trigger device 4, and an operation box 5 is provided under the support 1.

[0018] Preferably, the numb...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a mobile phone defect inspection vision device based on deep learning, and relates to the technical field of optical detection equipment. The mobile phone defect inspection vision device comprises a support, a guide groove is formed in the support, an image acquisition device is further arranged on the support, an online positioning trigger device is further arranged on thesupport, an operation box is arranged below the support, the image acquisition device acquires the image of a to-be-detected object, and the software processes the acquired image and judges whether aproduct glue line meets requirements or whether a mobile phone assembly has defects or not. According to product characteristics, an online positioning trigger device with different types of parallelcoaxial light sources and low-angle strip-shaped light source combinations is selected; light rays of the light source device penetrate through the parallel coaxial light source and low-angle strip-shaped light source combinations to obtain light with the target wavelength, a good lighting effect can be achieved, and it is guaranteed that the defect detection device has the advantages of being high in recognition rate, high in detection speed, low in equipment cost and stable in system operation through combination of good lighting and the image acquisition device.

Description

technical field [0001] The invention relates to the technical field of optical detection equipment, in particular to a visual device for defect inspection of mobile phones based on deep learning. Background technique [0002] With the rapid development of mobile information technology in today's society, with the popularization of 5G and cloud computing, mobile phone technology is changing with each passing day, and smartphones have become an indispensable product in people's lives. [0003] With the popularization of smart phones, the technology related to smart phones has developed rapidly, which has also brought development opportunities for various mobile phone manufacturers. People can obtain services such as calling, surfing the Internet, and games through smart phones, and people have more and more functional requirements for smart phones. More and more, the internal mechanism of the mobile phone is also more and more complicated. [0004] In the process of mobile ph...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88
CPCG01N21/88G01N21/8806G01N21/8851
Inventor 朱芳程
Owner SHENZHEN INTELLIGENT PRECISION INSTR CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products