Automated scrap sorting system for ferrous and non-ferrous materials

Overview

The proposed automated scrap sorting system leverages cutting-edge sensor technologies and AI-driven classification to enhance the precision of identifying and segregating ferrous and non-ferrous materials post-magnetic sorting. By integrating Eddy Current Separation (ECS), X-Ray Fluorescence (XRF), and Hyperspectral Imaging (HSI), the system ensures high precision in material segregation. This approach aims to optimize operational performance, minimize contamination, reduce manual labor, and improve material quality, aligning with sustainability goals in the steel recycling industry.

Technical specifications

Key features:

• Eddy Current Separation (ECS): Effective for non-ferrous separation.
• X-Ray Fluorescence (XRF) and Laser-Induced Breakdown Spectroscopy (LIBS): Utilized for precise elemental analysis.
• Hyperspectral Imaging (HSI): Facilitates detailed material differentiation.
• AI-driven classification: Enhances accuracy in scrap classification based on visual and spectral data.
• Automation: Robotic arms, pneumatic separators, and smart conveyors ensure high-speed, accurate sorting.
• IoT and Blockchain: Enable real-time monitoring and traceability to optimize performance and maintain quality control.

Technology readiness level

Currently at Technology Readiness Level 2, the system has undergone initial concept development with plans for further validation through the implementation of an integrated sensor-based sorting system.