Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Stability testing method based on machine vision detection

A technology of machine vision detection and stability testing, which is applied in the direction of faulty hardware testing methods, faulty computer hardware detection, error detection/correction, etc. problem, to achieve the effect of improving test efficiency, strong adaptability, and shortening repair time

Inactive Publication Date: 2021-09-21
南京云柜网络科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

And an industrial computer needs to eliminate hardware defects that cause a black screen, and a single software parameter requires multiple devices to compare the test results at the same time, resulting in a huge amount of testing
[0003] The current existing technology has the following disadvantages: 1. There is a fixed range in the efficiency of manual testing, which cannot be performed concurrently
2. Manual long-term repetitive tests are prone to fatigue, and the test results will change with the tester's personal status.

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
  • Stability testing method based on machine vision detection
  • Stability testing method based on machine vision detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the embodiments and accompanying drawings.

[0033] refer to figure 1 , the stability test method based on machine vision detection in this embodiment adopts technologies such as machine vision, network, and RS485 bus control, and the "automatic detection program" realized by running on the PC end collects video signal stream 1 through a camera, and judges the industrial control by machine vision. The "black screen" state of the computer; through the "automatic detection program" to control the soft restart of the industrial computer 2; through the RS485 control relay to open and close to control the power off and on of the industrial computer for hard restart 3; when a black screen occurs, the abnormal log dmesg, kern.log, syslog, etc. are returned to the PC terminal 4, and the module description is as follows figure 1 shown. ...

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 stability testing method based on machine vision detection. A machine vision device and a control end are included. A to-be-collected state real-time video stream of an industrial personal computer is sampled by using machine vision equipment to generate a vision template; after the industrial personal computer is started for testing, the control end controls the industrial personal computer to be restarted, and a machine vision device is adopted to judge the screen state of the industrial personal computer; and when the screen of the industrial personal computer is matched with the to-be-collected state, the abnormal day is transmitted back to the control end. According to the method, the blank screen phenomenon of different display chips, mainboards and operating system providing industrial personal computers is detected through the automatic detection program, the adaptability is high, the testing efficiency and testing accuracy are greatly improved in the testing process, research and development are assisted, and the product bug repairing time is shortened.

Description

technical field [0001] The invention belongs to the technical field of system testing, and in particular relates to a stability testing method based on machine vision detection. Background technique [0002] During the system stability test, there is a probability of a black screen when starting up or restarting. With the differences in operating systems and display chips, the randomness of wanting to reproduce a black screen is large. In order to assist R&D to quickly fix this problem, testers are required to provide black screen reproduction tests of industrial computers for different display chips, motherboards, and operating systems after each driver version iteration. Due to the need to cover the accidental rate, the greater the number of repeated tests for a single software parameter, the more accurate the test results can be improved. And an industrial computer needs to eliminate hardware defects that cause a black screen, and a single software parameter requires mu...

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): G06F11/22
CPCG06F11/2205G06F11/2273
Inventor 王丹杨博张友平柳宁一
Owner 南京云柜网络科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com