Caton&Hera Technology relies on "artificial intelligence deep learning + machine vision image processing" technology to realize the detection of appearance defects of cylindrical lithium batteries such as scratches, pits, punctures, foreign matter, contamination, corrosion, etc., and now has fully automatic intelligent detection.
Continuously learning various defect issues and efficiently and accurately completing customer production tasks
Through edge computing, it can quickly judge and make decisions, display detection speed and detection status in real time, and ensure detection efficiency and stability.
Continuously learning various defect issues and efficiently and accurately completing customer production tasks
Through edge computing, it can quickly judge and make decisions, display detection speed and detection status in real time, and ensure detection efficiency and stability.
Caton&Hera Solutions can provide an end-to-end package of solutions for New Energy enterprises through basic intelligent solution design, equipment provision, and installation applications.
Personalize and customize each module according to customer requirements, and provide corresponding intelligent visual solutions for each customer's different business needs
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