Waste Sorting AI for Municipal & Industrial Operators
Byte Motion delivers AI waste sorting systems for municipal and industrial waste operations that need better material separation, safer handling, and stronger performance across mixed, visually inconsistent waste streams.
Waste sorting demands automation that can identify bags, contaminants, and hazardous items under messy real-world conditions. Byte Motion combines AI vision, robotics, and human-assisted workflows to improve sorting quality while reducing manual exposure.
Challenges we solve
- Mixed waste streams vary continuously in color, shape, fill level, contamination, and placement.
- Manual bag sorting is repetitive, hazardous, and difficult to scale consistently across shifts.
- Waste operators need dashboards and operational data, not just robot picks in isolation.
What we automate
- AI classification of waste bags and target materials
- Waste sorting robots and robotic picking for mixed-waste lines
- Battery detection in waste and hazardous contaminant removal
- AI camera selection, 2D/3D vision, and conveyor integration
- Real-time dashboards and human-assisted intervention workflows
Proven results
- 95%+ — Battery detection accuracy achieved: Mixed-waste battery sorting at IVAR reached high detection accuracy in production conditions.
- 4 bags — Picked per cycle in municipal waste sorting: The ABB IRB 6700 waste workflow handles multiple bags per cycle to increase throughput.
- Real time — Dashboard visibility for operators: Supervisors can monitor pick counts, waste types, and operational trends as sorting happens.
What does Byte Motion automate in waste sorting?
Battery removal, waste bag classification, bio-waste sorting, robotic bag handling, and AI-assisted decision support for mixed municipal or industrial waste flows.
Why use AI for waste sorting instead of fixed rules?
Waste environments are highly variable. AI handles visual inconsistency far better than rigid rule sets, especially when item orientation, contamination, and bag appearance change continuously.
Can operators still stay involved in the sorting process?
Yes. Byte Motion supports Human Assisted Vision workflows where operators retain visibility and intervention capability for edge cases while AI handles routine sorting decisions.
What camera is used for AI waste sorting?
It depends on the task. Byte Motion deploys 2D color cameras for classification, 3D color cameras for robotic bag picking where depth matters, and high-resolution industrial cameras for small targets like batteries. The Optimus platform is camera-agnostic, and AI models are trained on images from your actual waste stream.
How accurate is AI battery detection in mixed waste?
At IVAR's facility in Norway, Byte Motion's AI detects batteries of varying shapes, sizes, and colors with over 95% accuracy, and a robot removes them from the conveyor. Fire incidents linked to battery contamination dropped to zero within the first months of operation.