Success case
Promote Circular Economy by Improving Waste Resource Traceability and Management
Hardware: NVIDIA Jetson Xavier NX Use Case Provider: Lixo Application: Waste Sorting and Collection Industry:
- Industry
- Environment & Sustainability
- Application
- Waste Stream Sorting and Traceability
Project background and needs
Lixo developed a waste identification solution based on Jetson Xavier NX for global waste management scenarios, identifying materials in collection trucks and sorting centers, and analyzing sorting quality with time and geographic data.
Complex Object Appearance
- Waste can be deformed, overlapping, and nested.
- Constantly changing packaging leaves some categories under-represented in the data.
Needed a recognition model adaptable to the diverse appearance of waste.
Quality Distribution Analysis
- Lighting and image blur affect the capture of detail.
- Customers also wanted to understand the composition and proportion of pollutants.
Needed to provide both identification results and waste stream quality analysis.
Solution and architecture
Edge Recognition
Jetson Xavier NX runs object detection and classification, distinguishing plastics, paper, metal, and hazardous items.
Collection and Sorting
The Collector captures images near the truck's garbage door and reports by time, location, and collection point; sorting centers analyze the material flow and alert on hazardous items.
Solution components
On-site gallery (3)
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