Why do companies now use machine vision to replace artificial vision?

 In the modern automated production process, machine vision has begun to slowly replace artificial vision, especially in the fields of working condition inspection, finished product inspection, quality control and other fields. It is widely used. With the advent of the Industry 4.0 era, this trend is irreversible. So why do people use machine vision to replace artificial vision? There are many reasons, the main ones are listed below:
1. From the perspective of production efficiency, since operators are easily tired after working for a long time, the quality of artificial vision is inefficient and the accuracy is not high, while machine vision can greatly improve Production efficiency and automation.
2. From the perspective of cost control, training a qualified operator requires business managers to spend a lot of manpower and material resources. However, simple training is not enough. It will also take a lot of time to improve the operator's level in practice. get promoted. As long as the machine vision system is properly designed, debugged and operated, it can be used continuously for a long period of time while ensuring production results.
3. When implementing working condition detection in some special industrial environments, such as welding, gunpowder manufacturing, etc., artificial vision may pose a threat to the personal safety of operators, but machine vision can effectively avoid these risks to a certain extent.
What fields does machine vision cover?
A machine vision system is composed of different functional modules. Designing a successful machine vision system requires engineers to be very demanding.
Generally speaking, the professional fields covered by machine vision are as follows:
1. Electrical engineering: used for the design of hardware and software in machine vision systems.
2. Engineering mathematics: the basis of image processing technology.
3. Physics: the basis of lighting system design.
4. Mechanical engineering: Machine vision systems are widely used. A good machine vision system can better provide the manufacturing industry with more technical support that is conducive to improving product quality and production efficiency.