Solar-Based E-Waste Sorting Robot

Abstract

Electronic waste (E-waste) is one of the fastest-growing waste streams worldwide. Improper disposal of electronic components leads to environmental pollution and health hazards. Manual sorting of E-waste is time-consuming, inefficient, and exposes workers to harmful materials. This project proposes a Solar-Based E-Waste Sorting Robot that automatically identifies and segregates electronic waste using sensors and robotic mechanisms powered by solar energy. The system utilizes metal detection sensors, infrared sensors, and microcontroller-based automation to classify waste into different categories such as metals, plastics, batteries, and printed circuit boards (PCBs). The robot operates using renewable solar energy, reducing dependency on conventional power sources and promoting sustainable waste management practices. The proposed system improves sorting accuracy, minimizes human intervention, and contributes to efficient recycling processes.

Introduction

Electronic waste (E-waste), including discarded devices such as computers, mobile phones, televisions, batteries, and circuit boards, has increased rapidly due to technological advancement and growing consumer demand. Improper disposal of E-waste releases hazardous substances like lead, mercury, and cadmium, causing environmental pollution and health risks. At the same time, E-waste contains valuable materials such as copper, aluminum, silver, and gold that can be recovered through recycling. Therefore, efficient E-waste management is essential for sustainable development.

This project proposes a Solar-Based E-Waste Sorting Robot that automates the identification and segregation of electronic waste using sensors, robotics, and renewable solar energy. Traditional manual sorting methods are labor-intensive, time-consuming, and expose workers to hazardous materials. To overcome these limitations, the system integrates a solar panel, rechargeable battery, Arduino microcontroller, conveyor belt, metal detection sensor, infrared sensor, servo motors, and separate collection bins.

The robot operates by transporting E-waste items on a conveyor belt where sensors detect whether materials are metallic or non-metallic. The Arduino processes sensor data and activates servo motors to direct waste into designated bins for metals, plastics, batteries, and printed circuit boards (PCBs). Solar energy powers the system, making it environmentally friendly and energy-efficient.

The implementation combines embedded systems, automation, and renewable energy technologies. Testing was conducted using different categories of E-waste to evaluate sorting accuracy, sensor response, power efficiency, and reliability. Results showed that the system successfully identified and separated various waste materials with high accuracy and stable performance. The conveyor belt, sensors, and servo motors functioned effectively, while the rechargeable battery ensured continuous operation even under limited sunlight conditions.

Conclusion

The proposed Solar-Based E-Waste Sorting Robot successfully demonstrates an efficient and sustainable approach for the automated segregation of electronic waste. The system integrates renewable solar energy, sensor technology, embedded control systems, and robotic mechanisms to classify and separate different categories of E-waste with minimal human intervention. The robot utilizes metal detection and infrared sensors to identify various waste materials and automatically directs them into designated collection bins. The experimental results indicate that the system achieves high sorting accuracy while maintaining reliable performance under solar-powered operation. The use of solar energy reduces dependence on conventional electricity sources, making the system environmentally friendly and cost-effective. The developed prototype provides an effective solution to the growing challenge of electronic waste management by improving recycling efficiency, reducing manual labour, and minimizing human exposure to hazardous materials. The automated sorting process ensures proper segregation of recyclable components, thereby supporting resource recovery and environmental conservation.

References

[1] Waste Electrical and Electronic Equipment (WEEE) Handbook, V. Goodship and A. Stevels, Waste Electrical and Electronic Equipment (WEEE) Handbook, Woodhead Publishing, 2012. [2] United Nations Environment Programme, Global E-Waste Monitor Report, United Nations University, Geneva, Switzerland, 2024. [3] Institute of Electrical and Electronics Engineers, “Smart Waste Management Systems Using IoT and Robotics,” IEEE Conference Proceedings, 2021. [4] Arduino IDE Documentation, Arduino Official Documentation, 2025. [5] Robotics and Automation Applications in Waste Segregation Systems, International Journal of Engineering Research and Technology (IJERT), Vol. 10, Issue 5, 2021.

Copyright

Copyright © 2026 Aditya ., Abhishek , Abhijeet , Prasad , Dr. Anuradha Savadi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.