Automotive Lamp Visual Inspection

With the popularization and application of computer-integrated manufacturing, traditional manufacturing companies are pursuing flexibility and automation, and in this process, the demand for computer-aided quality systems has been raised. With the popularization of flexible manufacturing systems, higher requirements have been put forward for the intelligence, flexibility and rapidity of inspection systems to meet the needs of multi-species and small-lot production. It is also the origin of the current hottest industry 4.0. Machine vision systems for condition monitoring and field monitoring have been widely used in industrial and commercial fields due to their ability to quickly acquire a large amount of information and easy integration with design information and processing control information. In this paper, based on the application experience of Non-Lei Intelligent, we take the quality inspection of LED lamps as an example.

Lamps are a business combination of lighting components, in the current conditions of China's domestic research of existing technological development, the quality of LED rear lamp assembly only to control the lighting performance of a single test, and is the use of traditional manual visual inspection methods, which directly produces an impact on the quality of the company's products and production management efficiency. The quality analysis inspection of the lamp assembly should actually also include the light source power and parts assembly work quality inspection.

Machine vision technology is introduced into the quality inspection of LED lamp assembly, using image processing methods to detect the lighting performance of LED lamps. By setting the system parameters,vision inspection systems the integrated quality inspection of different types of vehicle lights can be realized with a high degree of flexibility and intelligence.

The system adopts advanced machine vision technology and virtual instrument technology, and designs a set of effective image acquisition system, including intelligent WL-EM series CCD, CMOS gigabit industrial camera, megapixel industrial lens, trigger, etc. In this paper, we study and apply digital image processing technology to obtain real-time illumination quality of LED lighting, judge the faults of LED lighting and its area, and realize the This paper studies and applies digital image processing technology to obtain the real-time lighting quality of LED lighting, determine the faults of LED lighting and their areas, and realize the online dynamic detection of LED lighting power and light intensity parameters. The system can be set up on screen or adjusted by software to complete the automatic detection of various types of headlights.The performance of the image processing process of LED backlight component lighting is shown as follows.

After a series of image processing methods,automotive consulting services the size of the particles in the locating area can be analyzed to determine whether the LED lights in the area are failing. The obvious lack of large particles in the illustrated area indicates that there is a faulty area of LEDs.

The system introduces machine vision technology into the LED lamp inspection system, through the image coarse positioning and LED gray scale particle statistics method, it realizes the flexibility and flexibility of LED lamp lighting performance and light source power detection, which is a set of advanced parts inspection equipment. By adjusting the camera system and setting software parameters, the system can also test different types of LED lighting products with good flexibility. With the future application of LED lighting types and the increase in the number of LED luminaires per set, the automotive LED market will continue to expand, with a broad market prospect.