AI Printing and Labeling Inspection Machine
Detect the text printing area of various packaging materials
The AI printing and labeling detection machine uses processes such as image acquisition, image processing, image labeling, AI algorithm models, and software scheduling to detect appearance defects in printing and labeling in industries such as food and dairy products, rejects 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
Barcode missing
Double images printing
Ink splashing
Missing characters
Product Advantages
Product 360 ° Full Inspection
The detection machine can meet the 360 ° all-round detection of the text 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 "NPU 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.
