Solving color difference detection of handlebars with machine vision

In the production process of industrial products, the appearance color of different batches of products often differs. The reasons for the differences mainly include aspects such as color ingredients and production processes. In order to reduce the subjective difference of human eyes in product inspection, machine vision can be used to detect the color difference of mass-produced handlebars to accurately and effectively eliminate defective products.

Handlebar color difference detection

The handlebars have different colors, and it is the key to accurately detect the chromatic aberration of each color. WeiShi Image has been working in the machine vision industry for more than ten years. Its engineers have provided us with a set of solutions. The image of the product under the light and the standard color plate is calculated by using the MV-SVMS system. Finally, the color difference is compared with the threshold set by the user to determine whether the product color is qualified.

industrial camera    


This solution consists of computers, industrial cameras, industrial light sources, test benches, and SVMS software that analyzes the acquired images. The industrial camera can be used to accurately collect the appearance color of the product; the light source makes the illumination of the entire image very uniform; the test bench is used to fix the position of the camera and the light source and the camera; SVMS software performs color difference analysis when it is at the appropriate threshold Then, the product color is considered to be qualified.


This solution is simple and intuitive to operate. It can accurately determine the difference in color on the surface of the product and improve the detection efficiency. It can also be used in various industries such as printing, silk, and injection molding where color difference is strictly controlled.