AI Glass Bottle Inspection Machine
Detect glass bottles of alcoholic beverages, cosmetics, etc
The AI glass bottle inspection machine uses processes such as image acquisition, image processing, image annotation, AI algorithm models, and software scheduling to detect appearance defects in printing and labeling in industries such as alcoholic beverages and cosmetics. It eliminates defective products and calculates and divides good products into boxes.
Maximum speed: 60-70 pieces/minute
Detection accuracy: 0.1mm
Detection area: 360 °
- Testing Products
- Defect Detection
- Product Advantages
Testing Products
Defect Detection
Extra injection plastic
Cracks
Bottle bottom size
Bottle bottom crack
Bottle black spot
Dent
Stone
Air bubbles
Dirty
Product Advantages
Product 360 ° Full Inspection
The detection machine can meet the 360 ° all-round detection of bottle mouth, bottle bottom, bottle body, and bottle inner wall.
Data Traceability and Intelligent Management
Real time viewing of detection data allows for the understanding of production status and front-end process defects based on the detection data.
AI Algorithm Cloud Platform
Integrate core algorithms such as classification detection, segmentation, localization, and image enhancement; Having a self built cloud server room for secure and efficient data storage.
AI Edge Computing Unit
Accelerate the data inference process with a "computing power box", which is efficient, stable, and not afraid of high temperatures and power outages.
Self Developed Geometric Imaging System
Self developed industrial cameras and optical imaging for various dimensions, used for detecting appearance defects in packaging materials.
Distributed Processing Platform
Independently build the "Yangtze River" software architecture, construct a new generation of distributed system basic framework, work in parallel with multiple nodes, and stabilize scheduling algorithms, imaging and other parameters.
