Learn about the main application areas for machine vision solutions

With the development of machine vision, the application of machine vision solutions is currently extending from the industrial field to the non-industrial field to realize the positioning, detection, measurement, identification and judgment of things. Its main areas are:

1. Parts testing

Part inspection is one of the most important applications of machine vision technology in industrial production, and almost all products are faced with quality inspection in the process of manufacturing and production. Machine vision technology is widely used in product inspection, and the main applications of part inspection include:

1. Existential detection

Existential detection includes the presence or absence of a part, a pattern, or an entire object.

2. Surface defect detection

The object of surface defect detection is the elements on the two-dimensional plane, including holes, stains, scratches, cracks, bright spots, dark spots and other common surface defects, these defects, especially holes and cracks, may seriously affect the quality of products and the safety of use, it is very important to accurately identify defective products.

2. Dimensional measurement

Machine vision measurement technology is a non-contact measurement method based on optical imaging, digital image processing, and computer graphics, which has a strict theoretical foundation and a wider measurement range. Moreover, compared with the traditional measurement method, it has higher measurement accuracy and efficiency, and can complete the online measurement of the two-dimensional and three-dimensional dimensions of the item.

3. Target identification

Models that use image processing, analysis, and understanding capabilities in machine vision technology to accurately identify a class of pre-defined objects or objects. The main applications in the industrial field are barcode reading, two-dimensional code scanning and identification, etc.

4. The industrial robot based on 3D vision guidance

The traditional industrial robot hand completes the work of grabbing, handling, and assembly from a fixed position, and these steps are all fixed processes.

Based on 3D vision-guided industrial manipulator, it can identify the position and posture of the items to be grasped, and flexibly control the robot arm through data processing to complete the sorting of materials in a disordered or semi-disordered state.