Industrial visual inspection is an indispensable technology in modern manufacturing, widely used in product quality control, automated production, and defect detection. Conventional visible light cameras have become the mainstream equipment in industrial visual inspection due to their advantages such as low cost, mature technology, and ease of integration. The following discussion will cover application scenarios, technical principles, and code examples.
Application Scenarios
1. Surface Defect Detection
Visible light cameras are used to detect defects such as scratches, cracks, and stains on product surfaces. For example, in industries such as electronic components, automotive parts, and glass products, high-resolution cameras capture images, which are then combined with image processing algorithms to achieve automated detection.
2. Dimensional Measurement In precision manufacturing, visible light cameras can measure the geometric dimensions of workpieces, such as length, width, and aperture. Through calibration and image analysis, accuracy can reach the micrometer level.
3. Character Recognition (OCR) In packaging, printing, logistics and other fields, visible light cameras are used to identify information such as product labels, barcodes, and QR codes to achieve automated sorting and traceability.
4. Assembly Verification
In automated production lines, cameras are used to verify whether parts are assembled correctly, avoiding omissions or misassemblies.
Technical Principles
The core process of industrial vision inspection includes image acquisition, preprocessing, feature extraction, and decision output. Visible light cameras capture target images through optical lenses and transmit them to a computer for digital processing. Key technologies are as follows:
1. Image Acquisition
Choose a suitable camera (such as CCD or CMOS) and lens to ensure that the resolution, frame rate, and exposure time meet the inspection requirements. Illumination conditions have a significant impact on image quality, and auxiliary equipment such as ring lights and backlights are usually required.
2. Image Preprocessing
Through filtering and binarization.