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 eye drops bottle vision inspection system is used for pharmaceutical package inspection, the EBI machine is consist of AI vision system, software system, central control system and online elimination system, it can be installed connecting to the existing production lines, the inspected bottles are detected through the material sorting system to ensure the oriented position, which shall be 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.
This 16 camera inspection system adopt the latest KVIS-V16.0 AI technology by KeyeTech, used for big handle milk bottle and Jerry Can visual inspection, the machine utilizes high-definition imaging technology to analyze object images and obtain various parameters for real-time comparison and detection with standard products. Under the AI deep learning algorithm, the system removes unqualified products through high-speed air valves, and it can automatically counts and divides qualified plastic bottles into boxes, this AI technology defect detection system greatly improve the production efficiency and ensuring product qualification rate, it's hot sale in pharmacy packaging container, oral liquid packaging vial, etc.
This Agrochemical Bottle Inspection System adopt the new KeyeTech AI algorithm technology, and utilizes high-definition imaging technology to analyze object images and obtain various parameters for real-time comparison and detection with standard products. Under the AI deep learning algorithm, the system removes unqualified products through high-speed air valves, and it can automatically counts and divides qualified plastic bottles into boxes, this AI technology defect detection system greatly improve the production efficiency and ensuring product qualification rate, it's hot sale in pharmacy packaging container, oral liquid packaging vial, etc.
This plastic oral liquid bottle visual inspection machine adopt the new KeyeTech AI algorithm technology, and utilizes high-definition imaging technology to analyze object images and obtain various parameters for real-time comparison and detection with standard products. Under the AI deep learning algorithm, the system removes unqualified products through high-speed air valves, and it can automatically counts and divides qualified plastic bottles into boxes, this AI technology defect detection system greatly improve the production efficiency and ensuring product qualification rate, it's hot sale in pharmacy packaging container, oral liquid packaging vial, etc.
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.
