TECHNOLOGY
By using various image recognition algorithms, we can accurately distinguish the subtle differences between good and bad products, achieving the sorting requirements of precision and high cleanliness.
AI Intelligent Vision Technology
By fusing multiple spectra of
X-ray/visible/infrared images, as well as multiple band infrared images,
multi-dimensional analysis of materials is carried out from the aspects of object density, surface characteristics, and materials, effectively improving the ability
of material sorting.
Multispectral Composite Imaging Technology
Comprehensively use 4G, 5G, 485, CAN, Ethernet and other communication methods to control the operation status of equipment in real time, and use big data technology to configure solutions online and analyze and solve equipment problems.
Remote operation and maintenance technology
An image data processing platform that combines the flexibility of data processing with the ability to handle massive amounts of data.
SOC Technology
Using intelligent hardware such as GPU and FPGA to synchronize data collection and computation at edge nodes, reducing data transmission, improving data security and real-time device operation.
Edge ComputingTechnology
By using the latest transfer learning, self-learning and other algorithms, high-precision detection and classification models can be obtained by collecting only a small number of samples on the basis of pre trained models, improving system installation and debugging speed.
Transfer Learning Algorithm Technology
Deep Learning Techniques
Collect a large number of material samples, pre train algorithm models based on artificial intelligence deep learning algorithms, and achieve online detection, segmentation, and classification of materials to be inspected.