What should I pay attention to when choosing a machine vision light source?

posted on: 2024-07-22 12:40:42

A complete machine vision system generally includes four core parts: light source, camera, lens, and software. The selection of light source determines the success or failure of the project. Before answering how to choose a suitable machine vision light source, first analyze the role of the light source and the factors that affect the selection of the light source. Understanding these can make a faster and more accurate selection.

Detailed explanation of the basics and selection techniques of light sources for machine vision

posted on: 2024-07-22 12:23:45

A complete visual inspection system mainly includes image acquisition and image analysis. The image acquisition part is mainly undertaken by industrial cameras, industrial lenses and machine vision light sources. Today we mainly introduce the basic knowledge and selection techniques of machine vision light sources.

Machine Vision Training Materials---Industrial Light Sources---Introduction to Machine Vision Light Sources 1

posted on: 2024-05-31 14:20:10

The core of the machine vision system is image acquisition (how to get a good picture) and image processing (how to find the most effective and accurate algorithm). All information comes from the image, and image quality is extremely critical to the entire vision system. At present, most of the software used for image processing in the vision industry are software packages provided by some image processing software companies, such as HALCON of MVTec of Germany, VisionPro of Cognex, NIVision of NI, etc. In the case of very small differences in processing software performance, how to obtain good pictures stably and continuously will directly determine the stability of the system. Ways to obtain better pictures: According to the characteristics of the workpiece and the on-site environment, accurate light source selection is carried out through lighting experiments to ensure the stability and continuity of the acquired pictures.

Machine Vision Training Materials---Industrial Light Sources---Light Source Selection 2

posted on: 2024-05-31 14:11:31

Commonly used light sources include LED light sources , halogen lamps (fiber optic light sources), and high-frequency fluorescent lamps. Currently, LED light sources are the most commonly used, and they have the following characteristics:

Machine Vision - Key Technology for Industry 4.0

posted on: 2024-05-30 00:47:48

Machine vision (MV) is a technology that combines multiple technologies and methods to automatically extract information from images and provide operational guidance and key data to support machines in performing specific tasks in industrial and non-industrial environments.
This article highlights many existing machine vision applications that have benefited greatly from these advances (e.g., defect detection) and new use cases (e.g., process/operation optimization and pallet dimensioning).

The “Smart Eyes” of Industrial Robots —— Machine Vision

posted on: 2024-05-30 00:45:08

As early as the 1980s, the National Bureau of Standards of the United States predicted that 80% or even 90% of inspection tasks would be completed by visual measurement systems. This prediction has basically become a reality. In recent years, with the rapid development of machine vision technology, the speed, accuracy and intelligence of machine vision technology have been widely used in all walks of life in modern industry.

Some professional terms for machine vision industrial lenses

posted on: 2024-05-28 11:18:49

In machine vision systems, lenses are equivalent to human eyes. Their main function is to focus the optical image of the target on the photosensitive array of the image sensor (camera). All image information processed by the vision system is obtained through the lens, and the quality of the lens directly affects the overall performance of the vision system. The following is a detailed explanation of the relevant professional terms of machine vision industrial lenses.

Introduction to the application of machine vision in the industrial field

posted on: 2024-05-28 11:14:46

Introduction: Machine vision is widely used in the industrial field. It can help companies improve production efficiency, reduce costs, improve product quality and realize automated production.

Application of machine vision in the industrial field

posted on: 2024-05-28 11:10:07

Machine vision technology is an important branch in the field of automation and intelligence. Its mainstream technologies include image processing, deep learning, sensor technology, etc. Image processing technology is the core of machine vision, including digital image processing, image analysis, image understanding and other links. Through this series of processing processes, the machine has the ability to "see". Deep lea

Application case of automobile wheel defect detection

posted on: 2024-05-27 16:08:40

In the automotive manufacturing industry, wheels are an important part of the car, and their quality is directly related to the safety and service life of the car. In order to ensure that the quality of the wheel hub meets the standards, the traditional manual inspection method can no longer meet the needs of the production line, so AI vision software is introduced to realize the automatic detection of wheel hub defects.

Application of machine vision light sources in actual cases (I)

posted on: 2024-05-27 16:04:09

In bolt inspection, the application of backlight is mainly to improve the detection precision and accuracy. By placing the backlight behind the bolt and shining it toward the camera lens, the outline of the bolt can be made clearer in the image, making it easier to identify and detect. In addition, the use of backlight can also eliminate reflections and shadows on the bolt surface, further improving the image quality. This allows accurate size detection.

​Machine Vision Light Sources: Illuminating Every Industry

posted on: 2024-05-27 16:01:07

Machine vision system is to use machines to replace human eyes to make various measurements and judgments. It is an important branch of computer science, which integrates optics, mechanics, electronics, computer hardware and software technologies, involving computers, image processing, pattern recognition, artificial intelligence, signal processing, optomechanical integration and other fields.