Deep Learning-Based Recycling and Detection Technology for Used Power Batteries
Aiming at the safety,poor accuracy and low efficiency of manual inspection of battery health before recycling and transportation of used power batteries,a deep learning-based recycling inspection technology for used power batteries is proposed by integrating the machine vision technology with the recycling inspection application of used power batteries,and the deep learning technology is used to automatically determine the safety status of the battery,which effectively improves the accuracy of the battery recycling inspection process.Accuracy.After field application,the system achieves automatic identification of battery state,realises unmanned automation in the detection process,and improves the safety management level of battery recycling enterprises.
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