AI IML inspection machine
Inspection of in-mold labeling for food, dairy products, beverages, etc
The AI IML detection machine performs appearance defect detection on in mold stickers in industries such as food, dairy, and beverage through processes such as image acquisition, image processing, image annotation, AI algorithm models, and software scheduling. It reject defective products and calculates box division for good products.
Maximum speed: 300 pieces/minute
Detection accuracy: 0.1mm
Detection area: 360 °
- Testing Products
- Defect Detection
- Product Advantages
- Detecting Videos
Testing Products
Defect Detection
Label missing
Label misplaced
Reverse label
Bubble
Label black spot
Edge notch
Product Advantages
Product 360 ° Full Inspection
The detection machine can meet the 360 ° all-round detection of labels on various parts of the cup body, cup mouth, cup inner wall, and cup outer bottom inside the mold.
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.
Detecting Videos
White Translucent Measuring Cup
Ice Cream Cup
Yogurt Cup
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