Keye white water bottle cap inspection machine is installed with the latest AI visual system, it equipped with HD imaging system and customized light source with the latest KeyeTech V16.0 AI system, this system can analyze object images and obtain various parameters for real-time comparison and detection with standard products. Under AI deep learning algorithm, the machine can reject defective products through high-speed air valves online, it can also automatically counts and divides qualified products into boxes, greatly improving production efficiency and ensuring product qualification rate.
Pet preform vision defect inspection and sorting system is highly customized for PET preform's appearance quality control, it is work with full automatic / semi-automatic preform feeding machine. According to customer's inspection request we can design 6~20 camera imaging system. It can inspect the appearance defect of Pet preforms both for transparent and colored ones. This machine adopt the latest KVIS-V16.0 AI algorithm vision system, 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 preforms into boxes, this AI technology preform inspection system greatly improve the production efficiency and ensuring product qualification rate, this preform quality and defect inspection machine is widely used for water and beverage, cosmetic packaging industry.
KeyeTech PET preform camera visual inspection machine is designed for Pet quality detection. It can inspect the appearance defect of Pet preforms both for transparent and colored ones. This machine adopt the latest KVIS-V16.0 AI algorithm vision system, 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, this preform quality and defect inspection machine is widely used for water and beverage, cosmetic packaging industry.
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 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.
Cap closures machine vision inspection system adopt HID imaging system and customized light source, this system can analyze object images and obtain various parameters for real-time comparison and detection with standard products. Under KeyeTech AI deep learning algorithm, the machine can reject defective products through high-speed air valves online, it can also automatically counts and divides qualified products into boxes, greatly improving production efficiency and ensuring product qualification rate.
Spout cap visual defect inspection machine is equipped with an intelligent processing platform. When the products to be tested enter the inspection area, the industrial camera can capture multiple photos in about 0.1 seconds. Through AI algorithms, it compares against the sample database, simulating human thought processes to conduct quality inspections on cap appearances. Issues such as black spot, material deficiency, and deformation of bottles are quickly recognized and eliminated, this appearance defect inspection system greatly improve the production efficiency and ensuring product qualification rate.
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 AI technology full automatic IML container defect inspection machine utilizes high-definition imaging technology. It designed 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 inspect the unqualified products greatly improving production efficiency and ensuring product qualification rate, it's hot sale in IML cup quality inspection.
KeyeTech machine vision camera 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.
Tetra Pak Cap&Helicap visual defect inspection 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 automatically counts and divides qualified products into boxes, greatly improving production efficiency and ensuring product qualification rate.
KeyeTech machine vision camera 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.
