AI in Waste Management

Reducing landfill waste and costs through predictions and automation of processes.

Container fill forecasting

Data? Video/scales/routes/warehouses/complaints.

Sorting? CV models/standards/calibration.

Routes? Demand/ETA/constraints/traffic.

live demo · related simulation● LIVE

Safety/incidents on lines.

Cameras/sensors/scales/container chips.

Recycling contracts/dock-control.

Frequently asked questions

What is CV sorting used for on waste lines, and how does it forecast container fill levels?

CV sorting on waste lines, forecasting container fill levels, optimizing collection routes, analyzing contamination, and supporting circular economy initiatives.

How does CV sorting predict fill levels and incorporate routing and contamination analysis?

CV sorting models analyze data from video feeds and scales to forecast container fill levels, while also incorporating route optimization and identifying contamination patterns.

What does ‘purity fractions +9 pp’ refer to in the context of waste management?

'Purity fractions +9 pp' indicates a significant improvement in the quality of sorted materials, achieving a 9 percentage point increase in purity.

What impact does reducing transport mileage by -11% have on a waste management operation?

Reducing transport mileage by 11% represents a substantial improvement in operational efficiency, leading to lower fuel consumption and reduced carbon emissions.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation