AI printing bronzing detection machine
Detect glass bottles of alcoholic beverages, cosmetics, etc
The AI printing bronzing detection machine uses processes such as image acquisition, image processing, image annotation, AI algorithm models, and software scheduling to detect appearance defects in printing bronzing, reject defective products, and calculate and divide 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
Deformations
Leakage
No printing
Improper printing
Printing errors
Product Advantages
Product 360 ° Full Inspection
The detection machine can meet the 360 ° all-round detection of the bronzing printing area.
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.
