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Industry 4.0 is underway, and machine vision has replaced many visual inspection tasks for product quality control. For example, some 3C industries and drug detection industries have already achieved great success, resulting in a large number of machine vision companies. As we enter 2022 and nanotechnology becomes more prevalent, let's explore some of the widely-anticipated applications of machine vision.
By 2022, machine vision will be widely used in the electronics and semiconductor, automotive manufacturing, food packaging, and film industries, with automotive and electronics being the most important current applications of machine vision. Machine vision optics is becoming more and more well-known.
According to data, the electronics industry is the industry that uses machine vision measurement systems most widely, accounting for about 50% of the demand for machine vision, mainly for high-precision manufacturing and quality control of wafer cutting, 3C surface inspection, touch screen manufacturing, AOI optical inspection, PCB printed circuit, electronic packaging, silk screen printing, SMT surface mounting, SPI solder paste inspection, semiconductor alignment and recognition, and other high-precision quality control tasks.
In the 3C industry, for example, the demand for machine vision will continue to grow rapidly in the future, mainly due to the following factors:
Advances in visual technology: currently, many defect detection technologies for glass and screen are still not achievable;
As high-end Chinese smartphones continue to develop and manufacturers' profit margins increase, the application of machine vision in Chinese smartphone production lines is expected to become more widespread.
The automotive industry accounts for about 15% of the demand for machine vision, which is mainly used in the manufacturing process of almost all systems and components, such as body assembly inspection, panel printing quality inspection, character inspection, precise measurement of part dimensions, surface defect inspection of workpieces, free-form surface inspection, welding seam inspection, etc.
For instance, 3D vision systems can accurately measure gaps and align each car, as well as perform a comprehensive check of all assembled doors and car bodies. 3D vision systems can also help chassis manufacturers automatically load, unload, and inspect vehicle parts on shelves and detect defective parts on shelves before automatic equipment picks them up, thereby reducing the welding of defective parts.
The pharmaceutical industry accounts for about 7% of the demand for machine vision, mainly used for detecting packaging defects of medicine bottles, capsule packaging quality, drug particle inspection, production date coding inspection, tablet color recognition and sorting, bubble cap detection, etc.
Food and packaging are also important downstream industries for machine vision applications, mainly for high-speed inspection, appearance packaging inspection, food packaging leak detection, appearance and external quality inspection, sorting, and color selection. Consumption varies greatly between different products on the same production line.
Currently, machine vision is widely used in large food enterprises and is widely applied in the industry, but its overall penetration rate in the industry is not high.
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