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What is an online defect detector

Source:www.cshuaqiang.com      Release date: 2025-02-12
Online defect detector is a device used in industrial production processes to detect defects on the surface or inside of products in real time. It plays an important role in improving product quality and reducing production costs. The following is a detailed introduction for you: 1. Working principle: Generally, various technologies such as optics, electronics, and image processing are comprehens
      Online defect detector is a device used in industrial production processes to detect defects on the surface or inside of products in real time. It plays an important role in improving product quality and reducing production costs. The following is a detailed introduction for you:
1. Working principle: Generally, various technologies such as optics, electronics, and image processing are comprehensively applied. Taking the online defect detector based on machine vision as an example, it continuously captures images of rapidly moving products on the production line through image acquisition devices such as high-speed cameras or line array cameras, and obtains image information of the product surface. Then, image processing software is used to analyze the collected images, compare them with pre-set qualified product image templates or standard features, identify abnormal areas in the images through algorithms, determine whether there are defects, and classify and record information such as the type, location, and size of defects.
2. Detection objects and defect types: It can detect various types of products, such as metal sheets, paper, plastic films, glass, textiles, etc. The types of defects that can be detected are diverse, including surface scratches, holes, cracks, stains, bubbles, color differences, deformations, etc. For example, in the production of metal sheets, surface scratches, pits, etc. can be detected; In paper production, defects such as holes, wrinkles, and spots can be found.
3. System composition:
       Image acquisition unit: composed of a light source, lens, and camera. A suitable light source can uniformly illuminate the surface of the product, improving the contrast and clarity of the image; The lens is used for focusing imaging; The camera is responsible for capturing image information of the product surface.
       Image processing unit: includes computer hardware and specialized image processing software. Computers store and process the collected image data, and software analyzes and processes the images through various algorithms to achieve defect recognition and classification.
       Mechanical transmission and control unit: responsible for controlling the transmission speed and position of the product on the production line, ensuring that the product can pass through the detection area correctly, and cooperating with the image acquisition unit and image processing unit.
       Alarm and display unit: When a defect is detected in the product, this unit will emit an audible and visual alarm signal to remind the operator to pay attention. At the same time, the detection results, including images, locations, types, and other information of defects, are displayed in real-time on the display screen, making it convenient for operators to process them.
4. Advantages:
       Real time detection: It can detect defects in real-time during the product production process, avoid the production of a large number of unqualified products, and improve production efficiency and product quality.
       High precision: It can detect very small defects with high detection accuracy, meeting the strict requirements of different industries for product quality.
       Objectivity: Avoiding the subjectivity and fatigue errors of manual testing, the testing results are more accurate and reliable.
       Data statistical analysis: It can perform statistical analysis on detection data to provide powerful data support for optimizing the production process and quality control, helping enterprises discover potential problems in the production process and take targeted improvement measures.