In the past large-scale industrial production processes, products were measured, identified and analyzed mainly by artificial vision. Due to the low efficiency, poor stability and low precision of artificial vision processing, the use of machine vision can greatly improve the processing efficiency and degree of automation; at the same time, in some dangerous working environments that are not suitable for manual operations or occasions where the human eye cannot meet the requirements , and machine vision is often used to replace the human eye, such as nuclear power plant monitoring, wafer defect detection; and machine vision is easy to achieve information integration, which is one of the basic technologies for computer integrated manufacturing. Because the machine vision system can quickly obtain a large amount of information, and is easy to automatically process and integrate information, in the modern automated production process, the machine vision system is widely used in assembly positioning, product quality inspection, product identification, size measurement, etc. The main differences between machine vision and artificial vision are as below:
Machine vision | Artificial vision | |
Efficiency | Quick | Low |
Speed | Fast | Slow |
Reliable | Results stable | Easily fatigued, emotional, difficult to maintain the detection effect |
Work time | 24 Hours continous | Fatigue easily and limited working hours |
Info integration | Yes | Not easy |
Cost | One-time investment | Cost high |
Environment | Suitable for Hazardous Testing Environments | Not suitable for Hazardous Testing Environments |