What is machine vision defect detection?

Visual defect detection is a method that utilizes computer vision technology and artificial intelligence algorithms to automatically detect and identify defects or anomalies in products or materials.

The basic principle is based on image processing and machine learning techniques.  Firstly, obtain images of products or materials through high-resolution image acquisition devices, and preprocess the images using image processing algorithms, including denoising, image enhancement, and edge detection.  Next, based on machine learning algorithms, the system will train a model that can learn the features of normal products or materials and identify anomalies or defects that do not match normal conditions.

Visual defect detection systems typically include image acquisition modules, image processing modules, image analysis modules, data management, and human-machine interface modules.  The image acquisition module is responsible for capturing images of the product surface, while the image processing module performs preprocessing and feature extraction on the images.  The image analysis module performs defect localization, recognition, grading, and other discriminative operations based on the extracted feature information.  Finally, the data management module stores and manages the defect images analyzed, facilitating quality control and production process adjustments.

Visual defect detection has many advantages, such as non-contact, non-destructive, safe and reliable, wide spectral response range, ability to work for long periods of time in harsh environments, and high production efficiency.  It has become an indispensable part of many production enterprises, especially in today's increasingly demanding market for product aesthetics, comfort, and performance. The accuracy and speed of visual defect detection have a significant impact on the quality of finished products.

Visual defect detection is an efficient and accurate automated detection technology widely used in various production fields, providing strong support for quality control and safety production of enterprises.