Autonomous Sorting for Battery Recyclers
Thermal Risk Detection
Real-time monitoring identifies potentially hazardous batteries by detecting thermal anomalies before they cause fires or damage.
Material Value Optimization
Precise sorting maximizes recovered material value by up to 45% compared to manual or less sophisticated automated systems.
Chemistry Fingerprinting
Proprietary multi-spectrum analysis accurately identifies battery chemistry types with 99.8% accuracy, even without visible markings.
Non-Destructive Analyses
Our system evaluates batteries without damaging them, preserving potential reuse value for still-functional cells.
Adaptive Learning
Our AI continuously improves by learning from your specific battery stream, becoming more efficient with each processing cycle.
Circular Economy Alignment
Built-in tracking and reporting provides detailed material flow data for ESG reporting and circular economy documentation.
Why Autonomous Sorting
Our autonomous sorting system combines advanced sensors, machine learning and precision mechanical systems for unmatched accuracy and efficiency.
Economic Impact
10x faster processing than manual sorting with 90% labor cost reduction. Precise material separation increases recovered value by 35-50%.
Environmental Impact
Chemical-free sorting maximizes material recovery while minimizing environmental impact. Increased recycling efficiency reduces mining demand.
Safety Enhancement
Automated detection identifies damaged and hazardous batteries, eliminating human exposure to risks and preventing thermal incidents.
