What are the typical application scenarios of machine vision?

 With the development of the times, new technologies and machine vision are becoming more and more widely used. The following are typical application scenarios of machine vision:

1. Under the influence of machine vision technology, assembly robots in the production workshop can accurately follow the vision technology to make the robot arm have 3D vision capabilities. It can rely on vision guidance and positioning, becoming an essential element for picking objects .
In addition to visual positioning, the key technology of hand-eye coordination robots is matrix sensors, which can help the robot know the position and force of grasping.
2. Electronic welding manufacturing　　
In wire bonding technology, due to the shrinkage of chip dimensions, a more powerful image amplification function is required. In this environment, high-quality imaging lens systems must meet special optimization requirements. Due to the excellent operating mode, reliability and high accuracy of the vision algorithm of machine vision tools, many problems in the chip welding process are well solved.
3. Empty bottle detection　　
The machine vision empty bottle detection system mainly consists of six parts: camera, lens, light source, image acquisition card, PC platform and control unit. Each part cooperates with each other to ultimately complete the quality inspection and rejection of wine bottles. .
4. Auto parts assembly　　
Auto parts have the characteristics of high quality requirements, large batches, and different shapes. Each part involves the quality of the entire vehicle, so it has many dimensions to measure and high precision requirements. It needs to be measured according to different parts. Component features and types are measured one by one. At present, most automobile manufacturers have used machine vision systems to replace ordinary coordinate measuring machines.
5. Automated product sorting　　
Automated sorting is one of the necessary links in industrial production, especially in mass production of products. In industrial production, sorting is required based on product characteristics and production/factory quality requirements. It can replace manual labor in classifying, transporting, and loading and unloading goods, improving production and work efficiency, thereby achieving automation, intelligence, and unmanned operation.
6. Drug quality inspection　　
The application of machine vision in the medical field has evolved from traditional visual inspection of drug packaging, medicine bottles, labels, etc. to the current detection of biochips, X-rays in radiology departments, etc. By introducing machine vision systems, image processing is completed Information collection, storage, management, processing and transmission functions.