KeyeTech Visual Inspection Systems based on deep learning are adept at detecting defects with complex characteristics. They can address complex surface and appearance defects, providing the most advanced level AI visual inspection machine and the customized AI system solutions of visual imaging, computing power, algorithm, and automatic control software for various sub-industries.It can be installed with the existing production lines and inspect the objects in-line, the inspected bottles are detected through the material sorting system to ensure the oriented position, which is the same direction and evenly distributed, and then the inspected objects enter the vision system to take 360° images, and transmit the image data to the software system to identify the objects, it will automatically reject the defective product and counting the qualified ones automatically.
KeyeTech Pet bottle visual inspection machine consist of AI vision system, software system, central control system and online elimination system, it can be installed with the existing production lines, the inspected bottles are detected through the material sorting system to ensure the oriented position, which is the same direction and evenly distributed, and then the inspected objects enter the vision system to take 360° images, and transmit the image data to the software system to identify the objects, it will automatically eliminate the defective product and counting the quality ones.
KeyeTech machine vision optical inspection system for Pet Bottle consist of material handling system, AI vision system, software system, central control system and online elimination system, The detected objects are inspected through the material sorting system to ensure the oriented position, which is the same direction and evenly distributed, and then the inspected objects enter the vision system to take 360° images, and transmit the image data to the software system to identify the inspected objects, sorting issuing rejection and sorting instruction to the execution system.
