Collection based on fill level
Sensors in the bins report their fill level and routes are planned to collect only where needed.
All solutions
07 · Sustainability
Catalogue module · phased deploymentWaste AI
Predictive waste management and optimised collection.
The challenge
Collection routes are usually fixed: half-empty bins are emptied while others overflow, and illegal dumping is detected late.
The solution
Smart bins, fill-level prediction, collection route optimisation, detection of illegal dumping and recycling analysis.
Features
- Smart bins
- Fill-level prediction
- Optimised collection routes
- Detection of illegal dumping
- Recycling analysis
Use cases
How it applies in the city
Dumping detection
Waste piling up outside bins is identified so action can be taken before it becomes a problem spot.
Recycling monitoring
The city council tracks how each waste stream evolves by area to target awareness campaigns.
Architecture
From data to action
Data sources
- Fill-level sensors
- Fleet positioning
- Cameras and citizen reports
- Treatment plant data
Waste AI
Outputs
- Optimised collection routes
- Overflow and dumping alerts
- Recycling indicators by area
Benefits
What the municipality gains
- Fewer kilometres driven by the fleet
- Cleaner streets and fewer overflowing bins
- Data-driven recycling campaigns
- Better oversight of the service when it is outsourced
Integration with Equilia City Brain
City Brain cross-references Waste AI information with events and expected footfall to step up collection where and when it will be needed.
Sustainability
Other solutions in this area
Interested in Waste AI?
Combine it with other solutions and we will prepare a joint proposal for your municipality.