A surface and interior material identification technology based on dual-mode sensor

In this paper, a novel hybrid-sensor integrating TENG and inductive sensor is proposed to acquire the triboelectric and inductive signals from different objects. A matching CNN algorithm was used to process the above signals in order to achieving highly accurate recognition. The identification accuracy of different solid surfaces reached 98.89% and the identification accuracy of different solution reached 95%. As a demonstration, we designed a real-time identification system for effective sorting of different items.