Waste Composition
Precise material identification and categorization through AI.
What It Does
Our system is designed to detect and classify a wide range of materials, such as plastics, metals, organics, and contaminants, high up from a ceiling or directly on the conveyor belt. This enables:
Real-time material recognition
Automated contamination detection
Improved sorting and recycling efficiency
Data-driven reporting for compliance and optimisation
How It Works
AI-Driven Classification: Trained on diverse datasets, our models can distinguish between material types and subcategories, even in complex or mixed waste streams.
Camera-Based Monitoring: High-resolution cameras capture continuous visual data, which is processed by edge devices or cloud GPUs for immediate analysis.
Subcategory Insights: By breaking down materials into subcategories, operators can pinpoint weaknesses in the sorting process and improve dataset quality using confusion matrices.
Visual Dashboards: Results are visualised in real time, allowing operators to monitor performance and intervene when needed.
Know what’s in your waste stream, instantly and accurately. Our Waste Composition solution uses advanced AI and computer vision to identify and categorise materials in real time, enabling smarter decisions and safer, more efficient operations.
Why It Matters
Operational Efficiency: Reduce manual sorting and improve throughput.
Quality Control: Detect unwanted materials before they cause contamination or damage.
Sustainability: Support circular economy goals by improving material recovery rates.
Scalability: Easily adapt the system to new waste streams or facility layouts.
Built for Industrial Environments
Our solution is designed to integrate seamlessly with existing infrastructure and can be tailored to specific use cases such as:
Smart truck inspections
Inbound waste composition
In-line waste composition
Generate data for emissions compliance
Calculate caloric value / yield / value