• Shaikh Mohammad Shahrukh
• Prof. S. V. Murkute
• Prof. S. S. Kamle

Efficient sorting of metal and non-metal materials is a critical requirement in industries such as recycling, packaging, and manufacturing. Manual sorting methods are time-consuming, labor-intensive, and prone to errors, which reduces productivity and compromises safety. To address these challenges, this paper presents a microcontroller-based automated conveyor belt system designed for real-time segregation of metallic and non-metallic objects. The system integrates sensors with a microcontroller to detect material properties, enabling precise and automatic sorting while minimizing human intervention. A comprehensive literature survey reveals that although previous research has explored vision-based sorting, electrostatic separation, and automated systems, many are limited by high costs, environmental sensitivity, or lack of adaptability. This research addresses these gaps by demonstrating a practical and efficient system capable of improving sorting accuracy, reducing operational costs, and enhancing workplace safety. The proposed model provides a foundation for future advancements, including integration with IoT and

Metal sorting, Non-metal detection, Conveyor belt system, Microcontroller-based automation, Real-time sorting, Industrial waste management.

"METAL & NONMETAL SORTING CONVEYER BELT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.a733-a737, October-2025, Available :http://www.jetir.org/papers/JETIR2510091.pdf

"METAL & NONMETAL SORTING CONVEYER BELT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppa733-a737, October-2025, Available at : http://www.jetir.org/papers/JETIR2510091.pdf