Machine vision
Machine vision is one of the main Industry 4.0 technologies. It automatically captures and analyzes images of physical objects or phenomena. In business, machine vision is used more widely: to improve product quality and predict equipment failures in the automotive industry, pharmaceuticals, food industry and others. According to analysts, the entire machine vision market is expected to reach more than $19 bln by 2027.
Benefits of machine vision
Machine vision has become popular in equipment maintenance as companies have faced the following challenges:
- Professionals are expensive;
- People may be wrong;
- Data needs order;
- Safety above all.
The main advantage of machine vision is its ability to detect anomalies (expected or actual). Algorithms analyze new images, compare them with previous ones and report problems on production lines. This is useful for both equipment and products: when you need to check a large number of items on the line, machine vision is also the best solution.
System functionality:
- Product quality control using machine vision;
- Use of machine vision to monitor and diagnose equipment operation.
An example of finding surface defects using machine vision:
