An Approach for Smart and cost-Efficient Automated E-Waste Recycling for Small to medium-Sized Devices Using multi-Sensors

Recycling electrical and electronic devices in an automated method can reduce the negative impact on human health and the environment compared with manual dismantling. This approach suggests using multi-sensors by using RGB sensor to classify the devices using a deep learning method and infrared sensor to recognize the internal component of the device. Particularly, the sorting accuracy achieves 98.5% using the state-of-the-art EfficientNet for the tested devices, and infrared images give a significant guide to the main components of the devices. Eventually, this information can be transferred to the next stage of material processing to provide fewer risks and a smarter way to avoid toxic materials.