Machine vision-based automated detecting system and detecting method

Abstract

The invention discloses an automatic detecting system and a detecting method based on machine vision, which relates to the field of automated detecting technology. It is characterized by: the system at least comprises an electronic control translation stage in which a machine vision system is mounted; the machine vision system comprises a plurality of image capture devices for acquiring image information, an image processing system for processing the images and obtaining the processing result, and a human-machine interaction module; the signal output terminal of each image capture device performs data interaction with the I / O terminal of the image processing system through the data line; the I / O terminal of the image processing system performs data interaction with the human-machine interaction module through the data line; a workbench is located below multiple image capture devices; a conveyor belt and an electronic control rotary table are mounted on the workbench; a robot is used for moving the device to be tested onto a conveyor belt or an electronic control rotary table; an electrical control cabinet controls the motion of the robot, the conveyor belt, and the electronic control rotary table.

Description

technical field [0001] The invention belongs to the technical field of automatic detection, in particular to an automatic detection system and detection method based on machine vision. Background technique [0002] With the rapid development of machine vision technology, more and more manufacturing enterprises use machine vision inspection technology to sort workpieces. Machine vision inspection technology has expanded to all walks of life, especially labor-intensive enterprises are urgently carrying out technological innovation from manual inspection to machine vision inspection, and at the same time bring more opportunities to the machine vision integrated development industry. The requirements for machine vision inspection functions are commonly found in four categories: measurement, surface defect detection, classification recognition, and auxiliary positioning. The development efficiency is not high, and this kind of development work is highly professional, and non-pro...

AI Technical Summary

Problems solved by technology

The requirements for machine vision inspection functions are commonly found in four categories: measurement, surface defect detection, classification recognition, and auxiliary positioning. The development efficiency is not high, and this kind of development work is highly professional, and non-professional developers cannot develop it. At this time, a fast and efficient software and hardware testing and experimental development platform is needed, which is convenient for professional developers and non-professional developers. Rapid Development of Machine Vision Inspection System

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