Language HOME ABOUT LuxMV PRODUCTS APPLICATIONS SERVICE SUPPORT PRESS CONTACT US Go! News ARTICLE What Are The Categories Of Machine Vision Inspection Technology? Machine vision inspection technology is usually classified according to its application, principle or method. The following are common classifications: 1. Classification by Imaging Technology 2D machine vision: Utilizes a single industrial camera to capture two-dimensional images of a product for inspection and analysis. Suitable for most traditional inspection tasks, it primarily targets dimensional measurement, defect detection, appearance inspection, and character recognition for flat objects. 3D machine vision: Utilizes technologies such as laser triangulation, structured light projection, and binocular vision to acquire three-dimensional information (depth, height, and shape) about an object. It is commonly used for more complex dimensional measurement, volume calculation, and 3D reconstruction of objects. Spectral imaging (hyperspectral/multispectral): Utilizes specific wavelengths of light to detect material properties that are invisible to the human eye, such as for composition analysis and agricultural product maturity testing. Thermal imaging (infrared imaging): Utilizes infrared cameras to detect the heat distribution of an object. It is commonly used for circuit board defect detection and monitoring of heat-generating components. 2. Classification by Function Appearance Inspection: Inspects the appearance quality of an object, such as surface cracks, stains, and deformation. Dimensional Measurement: Used to accurately measure the size, position, and shape of an object, commonly found on industrial production lines. Defect Detection: Automatically identifies various defects, including cracks, holes, and deformation. Classification and Recognition: Utilizes deep learning and other technologies to classify and identify objects, commonly found in applications such as facial recognition and object recognition. 3. Classification by Technical Method Traditional image processing: Image analysis and processing based on traditional methods such as edge detection, template matching, and color analysis. AI-based detection: This utilizes algorithms such as deep learning and convolutional neural networks (CNNs) for more complex pattern recognition and classification, particularly suited for complex image recognition tasks. 2025-10-25 10:09:06 << Previous Page Next Page>> ARTICLE Press HOT ARTICLE (LuxMV)AOI Applications Light L LuxMV SWIR Light Applications New Product For Concave-Convex Condenser Lens For Mounting On 4 Generation High Uniformity L x ABOUT US LuxMV (Lighting & Tech Specialist) is a leading organization in developing and manufacturing machine vision lights for the advanced lighting industry. We supply a broad range of solutions in light, lenses and cameras. PRODUCT Machine Vision Light Custom Light Controller Fiber optic light Camera Lens Accessories CONTACT US info@luxmv.com QUICK CONTACT Send Message Copryright 2019 LuxMV -