With the advent of Industry 4.0, the role of machine vision in the field of intelligent manufacturing is becoming more and more important. So how the machine vision realizes the correct choice of process automation and quality improvement, etc.  
 
What is machine vision? Definition of machine vision: Machine vision is to automatically receive and explain the image of the real scene to obtain an information control machine or process using optical non -contact device.  
 
The machine vision is to automatically extract information from digital images for process control or detection products. See the demonstration as follows:  
 This is the fill liquid level detection system used by the beer plant  
 
When each beer bottle moves through the detection sensor, the detection sensor will trigger the visual system to emit a frequent flash and take a picture of the beer bottle. After collecting the image of the beer bottle and saving the image to the memory, the visual software will process or analyze the image, and send it to pass according to the actual filling level of the beer bottle-not passed the response. If the visual system detects that a beer bottle is not filled in place, that is, if the detection is not detected, the visual system will send a signal to the steering device and remove the beer bottle from the production line. The operator can check the eliminated beer bottles and continuous process statistics on the display.  
 
In addition, the machine vision system can also measure items, such as determining the spark plug gap or providing location information, guiding the robot to confront the component during the manufacturing assembly process. The width (left) of the central axis on the bracket passes or fails to pass or fails to pass or fails to pass.  
 Real -time measurement and inspection of the machine vision system can be measured on the production line, such  
 
In this application example, the filling liquid level inspection system can only provide two results, which shows the characteristics of the binary system:  
 
1. If the product is qualified, the test results are "passed"  
 
2. If the product is unqualified, the test results are "unparalleled".  
 
This is just a simple example. The application of machine vision in intelligent manufacturing is endless, and the demand is increasingly expanded. Therefore, we are not satisfied with existing achievements in the way to help intelligent manufacturing. Visual play more effects and benefit the society.