BIM-450/ BIM-450D Intelligent Blister Single-/Double-Side Inspection Equipment adopts high-speed image processing technology of machine vision and AI+GPU, which can detect dozens of defects, including the lack of medicine, powder leakage, dirt, black spots, and pressure bubble on the blister surface, black spots and cracks on the tablet, and dirt and damage of the aluminum foil on the back. The testing equipment can quickly model blister products of different styles and sizes, realize variety management, make counting statistics of detection results, and automatically reject nonconforming products.
Full-angle photography on front, back and two side surfaces (no inspection of side surfaces for standard configuration) by imported Germany Basler 5 megapixel camera.
Combined with deep learning Al technology, it can accurately detect various appearance defects on the front, back and side surfaces of the blister board, and surface defects of tablets and capsules.
Automatic screening and high-speed and accurate rejection of defective products.
The detection information is templated and can be called repeatedly; the core detection software is customized and can be flexibly designed according to customer product characteristics.
Adopt intelligent defect classification technology to automatically generate statistical reports.
The system has the functions of recipe management, authority management, offline analysis and by-product/reject verification.
The system has database management and audit trail functions, and can download, store, backup and print all data.
Real-time display of test results, real-time monitoring of running status, and alarm and shutdown for abnormalities.
The equipment is easy to operate, stable in operation, and the software adopts modular design and is easy to upgrade and improve.
The equipment is easy to clean and maintain and conforms to GMP standards.
It is connected with the blister packaging machine to realize high-precision and non-destructive testing, and no labor is required in any step, reducing human risk.
