With an exponential increase in consumers' need for electronic products, the world is facing
an ever-increasing economic and environmental threat of electronic waste (e-waste). To …

Recycling e-waste makes for eliminating the pollution to environment and recovering critical
materials as one of resource. Printed circuit boards (PCBs) serve as the important part in all …

An innovative approach is needed to boost the economic value of e-waste by improving
metal recovery and facilitating the separation of plastics and valuable metal components …

Printed circuit boards (PCBs) are an indispensable part of every electronic device used
today. With its computing power, it performs tasks in much smaller dimensions, but the …

Electronic Waste (E-waste) is generated in a tremendous amount due to our increasing
dependence on electronic devices and rapid upgrading in technological innovations …

Object recognition is a computer vision technique to detect the semantic of objects either in
digital images or videos then to identify those objects into a particular class. This intelligent …

With the growing use of electrical and electronic equipment (EEE), managing end-of-life
EEE has become critical. Thus, the demand for sorting and detaching batteries from EEE in …

The number of end-of-life mobile phones is increasing every year, which includes parts that
have high reuse values and various dangerous and toxic compounds. An intellectualized …

In this paper, we have proposed a robust Printed Circuit Board (PCB) classification system
based on computer vision and deep learning to assist sorting e-waste for recycling. We have …

In this fast-pacing world one of the substantial problems faced is the drastic increase in
waste generation and ensuring efficient and rational management of waste. Recycling tasks …