"Machine Vision" explains in detail how the machine vision system works

Nowadays, as China gradually becomes the processing center of the global manufacturing industry, high-demand parts processing and its corresponding advanced production lines have brought many internationally advanced machine vision systems and application experience into China. China is also becoming the most active region in the development of machine vision in the world. Next, the editor of Dior Technology will introduce to you in detail how the machine vision system works. Let us learn more about the machine vision system!

Machine vision systems use machines instead of human eyes to make various measurements and judgments. It is an important branch of computing. It integrates technologies in optics, mechanics, electronics, computer software and hardware, and involves many fields such as computers, image processing, pattern recognition, artificial intelligence, signal processing, and optical, mechanical, and electrical integration. The rapid development of image processing and pattern recognition technologies has also greatly promoted the development of machine vision.

Generally speaking, machine vision systems include:

• lighting systems
• lenses
• camera systems
• image processing systems

For each application, we need to consider the running speed of the system and the image processing speed, whether to use a color or black-and-white camera, whether to detect the size of the target or whether it has defects, how big the field of view needs to be, how high the resolution needs to be, how big the contrast needs to be, etc.

The hardware of the machine vision system mainly consists of:

• lenses
• cameras
• image capture cards
• input and output units
• control devices

The quality of a visual system depends on the pixels of the camera, the quality of the hardware, and more importantly, the cooperation and rational use of each component. This also leads to a complex problem in the design of machine vision software. We must not only consider the optimization of the program, but also consider the effectiveness of the algorithm and whether the algorithm can be implemented. During the software design process, we should consider possible problems that may arise. Machine vision software design also needs to detect and improve its robustness to adapt to complex external environments.

Generally speaking, the role of machine vision systems is to:

• replace human eye detection in the field of industrial production and realize intelligent systems for high-precision non-contact measurement.
• replace labor and reduce labor costs.
• increase the quality of products and reduce the production of defective products.

In other fields, the machine vision system basically plays the role of a "prosecutor", such as the automotive field and intelligent security field.