Product defect detection is an important application branch of machine vision, which can replace manual inspection to complete product defect identification, control product quality, reduce labor costs, and improve machine flexibility and intelligence level.
Machine vision defect detection is a non-contact and non-destructive automatic detection technology, which is an effective means to achieve equipment automation, digitization, and intelligence. In industrial production, a machine vision defect detection system obtains the surface image of a product using an appropriate light source and image sensor, extracts the feature information from the image using corresponding image processing algorithms, and then performs discrimination such as surface defect location, recognition, grading based on the feature information. Finally, corresponding actions are taken based on the detection results.
The SINO BRIGHT EXCEED technical team has rich experience in visual inspection projects and deep technical expertise, and can provide customers with a comprehensive machine vision defect detection solution from hardware to software. The main functions of the SINO BRIGHT EXCEED machine vision defect detection system include defect detection, recognition and classification, statistics and analysis, and real-time monitoring.
The visual defect detection system takes photos of the product surface and analyzes the images using machine vision technology to detect whether there are defects such as scratches, dents, bubbles, color differences, impurities, etc. on the surface of the product.
The visual defect detection system can measure the dimensions of products using image processing algorithms, including length, width, height, diameter, etc., and then determine whether they meet the specification requirements.
The visual defect detection system can recognize different types of defects and classify them based on their characteristics. It helps to identify the root cause of the problem during the production process and take corresponding measures to improve product quality.
The visual defect detection system can statistically analyze the number and types of defects during the production process, and calculate the yield and defect rate of products. The data collected is important for enterprises to analyze and improve their production processes.
The visual defect detection system can monitor the production process in real time, identify and address issues promptly, avoid large-scale quality problems, and effectively manage risks.
The AOI appearance inspection machine is an intelligent solution for product appearance inspection, which perfectly combines machine vision appearance inspection technology and automation equipment. It can cover all surfaces that need to be detected on the product, effectively replacing the traditional manual visual inspection method and automatically completing the tasks of product appearance inspection, defect identification, data collection, etc.
Based on deep learning, the visual inspection system can effectively identify more than 80 types of appearance defects, including scratches, wrinkles, damages, dirt, foreign objects, missing corners, convex and concave points, and missing patterns, achieving comprehensive control of product appearance quality.
The AOI appearance inspection machine can achieve online defect detection, on-line analysis of defective items, and data collection and statistics of product defects. It helps enterprises prevent product defects from their source. The appearance inspection machine has the advantages of accurate detection results, wide visible range, and fast detection speed, which can effectively reduce labor costs and improve intelligence levels.
