The lighting system in machine vision systems is an extremely important part, and its quality directly affects the subsequent image processing. A good lighting system can reduce a lot of image processing work and improve the efficiency of the entire machine vision system. So what is lighting like? How to choose a suitable lighting system in a machine vision system?

Appropriate lighting is the key to the success of machine vision applications and is the first consideration. A well-designed lighting system not only brings better performance and saves time, but also saves costs in the long run.

The Eight Best Techniques for Machine Vision Lighting

1. Please use high brightness light to detect material defects;

2. Please use light of appropriate wavelength for precise positioning;

3. Please use non diffuse light to detect scratches on the glass;

4. Please use diffuse light to test transparent packaging;

5. Create contrast by using colored light;

6. Use strobe to detect rapidly moving objects;

7. Please use infrared light when eliminating reflections;

8. To eliminate color changes, please use infrared light.

How does lighting affect machine vision applications?

Machine vision systems rely on image quality during operation, and high-quality images can enable the system to extract information more accurately from detected objects. In visual applications, image quality largely depends on lighting conditions such as color, angle, and number of light sources.

Lighting depends on the size of the detected object, surface features, partial geometric features, and system requirements.

5 aspects to consider when choosing lighting

1. Is the surface smooth or rough?

2. Is the surface dull or bright?

3. Is the object curved or flat?

4. What is the color of the barcode or marking?

5. Is it detecting moving objects or stationary objects?