Smart Waste Management
Collection is planned on static routes while generation is dynamic.
Fill-level prediction, route optimisation and vision-based segregation grading across the municipal network — with illegal dumping caught by change detection instead of by the complaint that follows it.
Collection planned against what will be there, not what was there last month.
Fill-level prediction, route optimisation and vision-based segregation grading across the municipal network — with illegal dumping caught by change detection rather than by complaint.
Total waste
0tonsCollected
0%GoodSegregated
0%ModerateRecycled
0%ModerateBins monitored
0Vehicles active
0
Stream Composition
Today
Waste split by stream: wet organic 512 tons, dry recyclable 386, inert 244, unsegregated 81, hazardous 61.
Weekly Throughput
Generated · collected · recycled
- Generated
- Collected
- Recycled
Waste generated, collected and recycled per day this week, with collection consistently around 91 percent of generation.
Collection Routes
Optimised each morning against predicted fill
Ward 11 — Sector 37
6 vehicles · 214 bins · route optimisation saves 12%
94%On scheduleWard 12 — Sector 34
5 vehicles · 188 bins · route optimisation saves 18%
71%DelayedWard 18 — Udyog Vihar
8 vehicles · 302 bins · route optimisation saves 9%
88%On scheduleWard 24 — Sector 56
4 vehicles · 161 bins · route optimisation saves 21%
62%Optimising
Optimised route — Ward 11
Bin Fill Prediction
24-hour forecast against actuals
- Actual
- Predicted
Bin fill rises from 34 percent at 6 AM to a predicted 94 percent by 9 PM, with predictions tracking actuals within two percentage points.
AI Route Optimisation
Re-sequences collection runs each morning against predicted fill levels, traffic and vehicle availability.
14% fewer vehicle-kilometres
Bin Fill Prediction
Forecasts fill state 24 hours ahead from historical curves, weather and local event calendars.
88% prediction accuracy
Waste Classification
Computer vision at transfer points grades segregation quality and flags contaminated loads.
9 stream classes
Collection Monitoring
Vehicle telemetry and bin-lift events reconcile what was planned against what was actually collected.
Live vehicle tracking
Illegal Dumping Detection
Drone and CCTV imagery flag new accumulation against a rolling baseline of each site.
Change detection alerts
What the waste module actually does
Fill-level prediction
Twenty-four hour forecasts per bin from historical curves, weather and local event calendars, so a route is planned against what will be there.
Route optimisation
Daily re-sequencing against predicted fill, traffic and vehicle availability, reducing vehicle-kilometres without reducing service coverage.
Segregation grading
Computer vision at transfer points grades source segregation quality and flags contaminated loads before they reach a processing facility.
Collection assurance
Vehicle telemetry and bin-lift events reconcile what was planned against what was actually collected, closing the gap between the roster and reality.
Illegal dumping detection
Drone and CCTV imagery compared against a rolling baseline per site, so new accumulation is caught by change detection rather than by complaint.
Facility throughput
Material recovery and processing facilities monitored on input, output and diversion rate, giving the municipality a defensible recycling figure.
Start a conversation about your environmental data.
Tell us what you monitor today, what you are required to report, and where the chain currently breaks. We will come back with what a deployment would look like.
MANTRAMIND
Nature & Science in Harmony
Contact details available on request.