Typical case of semiconductors for machine vision applications

In the modern automated production process, machine vision is widely used in the fields of condition monitoring, product inspection and quality control. In some dangerous working environments that are not suitable for manual work or artificial vision is difficult to meet the requirements, machine vision is often used to replace artificial vision; in the process of large-scale industrial production, using artificial vision to check the product quality is inefficient and the accuracy is not high. Using machine vision inspection methods can greatly increase production efficiency and production automation.

The following China Machine Vision Mall will take you to see the application of machine vision in semiconductor manufacturing:
The semiconductor manufacturing process can be divided into three stages: front, middle, and back. In each of these three segments, machine vision is essential for every process. In the front and middle stages of the process, machine vision is mainly used in precision positioning and inspection. Without precise positioning, wafer production is impossible. The mid-range process is the most important part of the semiconductor process, and there is also a minimum scale measurement associated with machine vision. At present, the rear-end process is a very wide range of machine vision applications. The latter-stage process mainly involves wafer electrical testing, cutting, packaging, testing and other processes. Wafers must be detected and marked with a machine vision system before cutting. The machine vision system is required to accurately and quickly align and position the cutting process. The pre-alignment technology based on machine vision technology has a strong speed advantage.
With a machine vision-based solution, it takes only half a second to position the wafer center and align the cut. After the cutting process begins, machine vision is also used for positioning. If there is a problem with positioning, the entire wafer may be scrapped. The cut IC must be packed into the corresponding container without contacting each other, and then continue to use the machine vision system to find out the non-defective product into the packaging process.
In the visual applications before, during and after semiconductor manufacturing, the PC-Base machine vision system occupies a large proportion. This is because the PC-Base system is the most practical for the device to complete the complex testing requirements and carry out secondary development. Strong. In the initial stage of equipment design, if PC-Base vision system is considered, its integration is also the strongest. In addition, due to limitations in the development of embedded vision systems such as smart cameras, their accuracy and speed cannot be compared with PC-Base systems. Therefore, embedded vision systems are still mostly concentrated in the latter part of the semiconductor industry.

With the improvement of the degree of automation in the country, the entire society will increase the product quality requirements, the manufacturing industry will increase the production efficiency requirements, and the maturity and development of machine vision technology. Machine vision will become more and more popular.

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