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Industrial cameras tell you how to optimize machine vision source contrast a
Author:Administrator   Published in:2019-08-20 15:10

The most commonly used LED vision light source in industrial camera operation is the LED light source with long service life, strong light source brightness and low power consumption. According to different illumination methods, the most common LED light source has coaxial light source. There are three types of strip light sources and zero-angle light sources. All three types of light sources have their own characteristics and are therefore suitable for different applications.


The coaxial light source is ingeniously designed. The biggest characteristic is high uniformity, which solves the problem of reflection in the imaging process. Therefore, it is very suitable as a highly reflective metal surface and a glass illumination source, especially in the mirror processing industry. The role. During the configuration process, special attention needs to be paid to adjusting the position of the convex lens and the transflective glass.


The strip light source is the most flexible, allowing you to capture images from multiple angles for a full range of image information. Strip lights are often the best choice for objects that require comprehensive surface features, such as detecting whether the object being tested is shiny or not.


The biggest characteristic of the zero-angle source is that the edge contour of the object is very clear, which is especially suitable for checking the damage of the metal edge. However, it should be noted that this low angle mode illumination requires relatively high heat dissipation from the light source.

 

Light source imaging optimization


The entire machine vision system consists of several parts, such as light source, industrial camera, and image processing software, each of which has a decisive influence on the quality of the final image. For the light source, it can be optimized from two aspects of color and filter to increase the possibility of high quality imaging of the system.

Filter. Eliminating unnecessary data and noise can speed up the processing of useful information, and the filter is a simple technique that limits the light entering the camera. Common filters include polarizers, waveguides, and barriers, which act like filters to filter out signals that meet certain conditions.

colour. Since the object itself does not emit light when imaging the target object, the object signal that the camera can capture depends mainly on the emission of the object to the light source. Illuminating its opposite color with one color, it is black; when other colors are illuminated, the brightness of the object is increased sequentially; while the same color is illuminated, the maximum brightness is obtained.

 

Therefore, the choice of the color of the light source directly affects the contrast of the image, which affects the accuracy and comprehensiveness of the image acquisition process of machine vision technology.


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