What is the development direction of machine vision inspection equipment in automated inspection equipment?
Machine vision has been in China for decades and has made great progress. Now, let's talk about the development direction of machine vision in automated testing equipment in 2020.
There are four main development directions for machine vision: precise positioning, detection, recognition, and measurement.
Accurate positioning
The key is reflected in the application of industrial robots at the level of assembly lines, classification, or transportation work. Industrial robots must visually provide feedback to the intelligent robot's indoor spatial coordinates to show the precise fixed parts and orientations of the parts, ensuring that the intelligent robot can accurately crawl the parts.
detection
Machine vision is the most widely used stage in automated inspection pipelines to detect product quality issues. In addition, there are also quality inspections of printed items, as well as application stages such as inspection of missing or defective products during the entire process of product assembly. This is one of the directions in machine vision applications.
resolution
Machine vision uses color level discrimination, code reading, autonomous vehicle, texture discrimination and other levels.
measure
The key is to measure the length and perspective in the production and manufacturing of goods. In addition, some products have high accuracy, exceeding 0.01-0.02m or even reaching level u, and human eyes cannot be detected. It is necessary to use machine vision for detection.
Nowadays, machine vision technology in China is widely used in electronic devices and semiconductor equipment, automotive industry, industrial production testing, drug testing, food packaging materials, packaging printing testing, railway and road testing, information security, finance, national defense and other industries. Automated machinery replaces manual labor, and machine vision automated testing equipment will also reach a high point in industrial production and manufacturing applications.
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