AI cap detection machine
Detect water caps, medicine caps, beverage caps, dairy caps, wine caps, food caps, etc
The AI cap inspection machine is an intelligent detection device that performs 360 ° inspection and removal of product appearance through processes such as image acquisition, image processing, image annotation, AI algorithm modeling, and software scheduling. Suitable for detecting the presence of gaskets, printing, gaps, dirt, mold numbers, etc. on the cap.
Maximum speed: 2500 pieces/minute
Detection accuracy: 0.1mm
Detection area: 360 °
- Testing Products
- Defect Detection
- Product Advantages
- Detecting Videos
Testing Products
Defect Detection
Concave black spot
Leaf damaged
Bottle cap burr
Die number
Concave notch
Burr
Hybrid
Side flash
Side black spot
Side notch
Broken ring
Bad combination
Product Advantages
Autonomous Selection of Offline/Online Mode
Offline can be equipped with low-speed, medium speed, and high-speed cap feeding machines to meet various production modes of enterprises.
Product 360 ° Full Inspection
It can meet the 360 ° all-round inspection of the top, concave, and side surfaces of the cap.
Data Traceability and Intelligent Management
Real time viewing of detection data, which can be used to understand the production situation and control the front-end process flow 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
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