Lion Vision utilizes machine learning and AI to detect and visualize lithium-ion batteries and other hazardous items in waste streams, preventing fire hazards and costly damages. By providing real-time data insights, the platform enables efficient extraction and separation of these items, significantly reducing risks associated with waste processing.
Funding
Funding not disclosed
Founders
Product
Problem
Lithium-ion batteries and other hazardous materials in waste streams pose a significant fire risk, leading to costly damages and operational disruptions for waste processing facilities. Current methods lack the ability to efficiently detect and remove these dangerous items in real-time.
Solution
Lion Vision provides an AI-powered visual detection system that identifies lithium-ion batteries and other hazardous items within waste streams. The system uses machine learning algorithms to analyze real-time video feeds, pinpointing the location of dangerous materials. This enables operators to extract these items, preventing fires, reducing operational costs, and improving product quality. The platform provides a dashboard with real-time data insights, alerting users to potential hazards before they escalate into significant problems.
Target Audience
The primary target audience includes waste management companies, recycling facilities, and other organizations involved in waste processing and handling.
Features
- AI-powered object detection for identifying lithium-ion batteries and other hazardous materials
- Real-time visual monitoring and alerts for immediate action
- Customizable dashboards for visualizing data insights and trends
- Integration with existing waste management systems for seamless operation
- Reporting tools for tracking extracted materials and operational improvements
- Ability to train the system to detect new or different objects in the waste stream