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Eight Tips for Choosing the Most Suitable Machine Vision Illuminator

The lighting system in the machine vision system is an extremely important part, and its quality directly affects the subsequent image processing. Telecentric lighting is far from being as simple as enhancing image brightness. A good lighting system can reduce a lot of image processing work and improve the efficiency of the entire machine vision system. So what kind of knowledge is lighting? How to choose a suitable lighting system in a machine vision system?


Proper lighting is critical to a successful machine vision application and is the first consideration. A well-designed lighting system will not only lead to better performance and save time, but also save money in the long run.


Ⅰ. Tips for choosing the most suitable machine vision illuminator


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


2. For accurate positioning, please use light of appropriate wavelength;


3. To detect scratches on the glass, please use non-diffused light, that is, Non-Diffused Light;


4. Please use diffused light to detect transparent packaging, that is, Diffused Light;


5. To create contrast, please use color light;


6. Please use strobe light to detect fast moving objects;


7. Please use infrared light when eliminating reflection;


8. Please use infrared light to eliminate color change;


Ⅱ. How does machine vision lighting affect the application?


For machine vision systems where quality is the most output depends on image quality. High-quality images allow the system to accurately interpret information extracted from inspected objects, which results in reliable and repeatable system performance.


The image quality required in any vision application depends largely on the lighting conditions: the color, angle and number of light sources used to illuminate the object can mean the difference between a good image, potentially better performance, and poor quality images yield bad results.


Machine vision lighting should maximize feature contrast while minimizing remaining contrast, thus allowing the part or mark to be clearly seen by the camera. High-contrast features simplify integration and improve reliability; poor-contrast images and irregular lighting require more effort from the system and increase processing time. Optimal illumination depends on the size of the inspected object, its surface features and part geometry and system requirements. With a wide range of wavelengths (colors) and fields of view (sizes), machine vision illuminators can be flexibly selected for special application needs.


There are five aspects to consider when choosing telecentric 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 mark?


5. Is it detecting moving objects or stationary objects?