Automated ai-driven scrap identification and sorting system

Overview

UHV Technologies presents an innovative solution for automated identification, sorting, and quality control of bulk scrap materials using advanced artificial intelligence. This patented system leverages computer vision algorithms to accurately identify and categorize various scrap materials, such as aluminum, carbon steel, stainless steel, and other alloys, by analyzing their shape, color, and tint when exposed to outdoor environments. This technology is designed to enhance efficiency and accuracy in sorting operations, providing significant benefits to industries dealing with large volumes of mixed scrap materials.

Technical specifications

The system integrates several cameras mounted on orange peel cranes/loaders to capture real-time images of scrap materials. These images are processed using AI-driven analytics and material-specific algorithms that enable high-accuracy classification and quality control. The system has been validated in industrial settings, demonstrating its ability to handle diverse material streams, including mixed metals, ferrous, non-ferrous, and aluminum alloys. It supports seamless integration with existing operations, ensuring minimal disruption and easy maintenance.

Technology readiness level

This solution has achieved a Technology Readiness Level (TRL) of 8, indicating that it has been tested and validated in operational environments. The system is currently being adapted for deployment in scrap processing workflows, where it will undergo further validation and integration to meet specific operational requirements.