Film online defect detection device can achieve 24h uninterruptible detection

Information Title - Swimming Film Online Deficiency Detection Detection Principle | 24h Uninterruptible Detection Guide: It is well known that human eyes often cannot determine the flaws of film surfaces in time, Samumi visual film online defect detection equipment can be online High-speed, accurate detection, display and identify all surface defects on the surface of the film during surface defects produced during the production process. It can detect a dirty stain, stripe, damage, edge crack, wrinkle, dark spots, shots, edge damage, black spots, hair, mosquito, and other common surface defects, black spots, hair, mosquitoes, black spots, hair, mosquito, and other common surface defects. Product Description: Samimi visible film Online defect detection device adopts CCD camera to convert the detected target to image signals, transmitted to a dedicated image processing system, converted to digital signals, system according to pixel distribution and brightness, color, etc. Various operations for these signals to extract the characteristics of the target, such as the area, quantity, position, length, and then output according to the preset permissions and other conditional outputs, including size, angle, number, qualified / unsuitable, etc. Automatic recognition function. Instead of replacement of online detection with the production line to maintain synchronization. Smectoffi Film Online Deficiency Detection Detection Detection Detection: The Mermore Vision Film Online Deficiency Testing Equipment Overall Industrial CCD Camera Online Image Scanning Work Principle, in a state where the production line is high-speed, highlight LED industry linearity The concentrating light source is irradiated with the product surface (for the detection principle of the reflection of the opaque film product), and the product image at the light source irradiation is scanned and acquired by the industrial CCD camera. The Smecti Film Online Defect Detection The film image collected by the camera was subjected to a defective identification process through the SIMV image software algorithm. Due to the imaging pictures of the flaws, there is a grayscale difference between the imaging pictures of normal products, so that the system can accurately discover the defects of the product; at the same time, according to the image characteristics of various flaws, the defect library is recorded, thereby realizing the online detection of the defects, Classification and follow-up disposition. FQJ, read full text

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