The flat steel embryo ID identification system is an image identification system developed by Zhongguan. It is used in heating furnace feeding operations. Through the latest neural network image identification technology, it automatically recognizes the feeding steel embryo data, improves the material tracking system, strengthens the logistics/data flow management capabilities in the process, and reduces the chance of mixing.
AI neural network identification technology
Convolutional Neural Network (CNN)
High-speed image recognition model
Identification speed up to 28 ~ 35FPS per second (Intel i5 CPU)
Automatic training model architecture
The model can be retrained independently to continuously improve the recognition accuracy
Customizable encoding rules to verify and identify the results
Custom encoding rules can be written as post-check to improve the effectiveness of identification
