Machine Vision Technology Applications

- Jul 03, 2019-


At present, domestic machine vision technology is widely used in electronics and semiconductor manufacturing, automobile manufacturing, industrial testing, pharmaceutical testing and packaging, food packaging, printing and testing, railway and highway testing, public safety, finance, biomedicine, entertainment, military, chemical and scientific research. And other fields. The industrial field is undoubtedly the largest proportion of machine vision applications. The important reason is that China has become the processing center of global manufacturing, high-demand parts processing and its corresponding advanced production line transformation, making machine vision products in industrial manufacturing. The application reached its peak.

Machine vision technology applications

The degree of intelligence of the robot affects the evolution of the entire industry. Traditional robots mostly perform various operations through teaching reproduction or pre-programming, which greatly limits the application of the robot. Robot motion control technology with hearing, machine vision and a variety of sensors is a model in flexible automated manufacturing technology. With the robot's visual control, it is not necessary to teach or traverse the motion track of industrial robots in advance, which can save a lot of Programming time, improve production efficiency and processing quality.

Let the robot be like a human being, have self-awareness: where to go, what kind of workpiece to grab, how much to use to grasp, and where to place the workpiece for assembly, not by the human setting program, but by the robot itself. This "self-control" process is actually to make industrial robots intelligent through machine vision technology.


Industrial online inspection system

Machine vision is very active in various applications in industrial online inspection, such as: visual inspection of printed circuit boards, automatic flaw detection of steel sheet surfaces, parallelism and perpendicularity measurement of large workpieces, container volume or impurity detection, automatic identification and classification of mechanical parts. Geometric size measurements and more.