Plastic cap appearance 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, the air valves and automatically counts and divides qualified products into boxes, this cap appearance defect inspection system greatly improve the production efficiency and ensuring product qualification rate.
Cap appearance defect visual 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, the air valves and automatically counts and divides qualified products into boxes, this cap appearance defect inspection system greatly improve the production efficiency and ensuring product qualification rate.
This is a new compact design penicillin bottle vision inspection system, it's adopt the new version KVIS-16V.0 KeyeTech AI algorithm technology, and adopt HID cameras imaging technology, it can analyze object images and obtain various parameters for real-time comparison and inspection 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 barrel lid appearance defect detection 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, the air valves and automatically counts and divides qualified products into boxes, this cap appearance defect inspection system greatly improve the production efficiency and ensuring product qualification rate.
The KVS-G series grain quality analyzer consists of modules such as visual system and software system. When grains enter the camera’s field of view, they are photographed. The characteristics of a complete grain are comprehensively obtained by registration algorithms. AI algorithms are used for attribute recognition to determine whether there are problems such as disease spots, mold, germination, damage, and insect erosion. This enables online detection of grains and creates products of different grades and prices. This grain quality analyzing and grading machine can realize the precision marketing for enterprise.
Plastic cap visual defect inspection machine is used for detect suction nozzle cover, it 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, the air valves and automatically counts and divides qualified products into boxes, this appearance defect inspection system greatly improve the production efficiency and ensuring product qualification rate.
This is a new compact design vial defect inspection machine, it's 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, pesticide packaging bottles, etc.
Plastic preform quality and appearance defect 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, this preform quality and defect inspection machine is widely used for water and beverage, cosmetic packaging industry.
The new bottle inspection system is applicable for pharmaceutical vial appearance defect detection, it's adopt the new version KVIS-V16.0 KeyeTech AI algorithm technology, and adopt HID cameras imaging technology, it can analyze object images and obtain various parameters for real-time comparison and inspection 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.
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.
Dairy bottle vision defect monitoring 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, this AI defect monitoring machine can detect quality and defect, it is widely used for dairy packaging industry.
