منتجات

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. 

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. 

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.

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. 

KeyeTech Plastic amber bottle 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 plastic bottles into boxes, greatly improving production efficiency and ensuring product qualification rate, it's hot sale in pharmacy packaging container 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.

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. 

Helicap&TetraPak 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 helicap appearance defect inspection system greatly improve the production efficiency and ensuring product qualification rate. 

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.

KeyeTech supply various inspection industries worldwide to assist them in producing absolutely defect-free products. Our machine vision bottle inspection system for plastic beverage bottles, pharma bottles, dairy bottle, daily chemical bottless are capable of detecting the smallest holes, black spots, short mold, deformation and color deviations as well as defects at the bottom, thread, mouth and body. This allows you to find a quality control system that fits perfectly to your needs – no matter whether you prefer a compact system at a low price with some standard inspection features or a universal solution which is individually adapted to your bottles and containers.

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.

Plastic 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.