Revolutionizing urban cleanliness with artificial intelligence,
IoT sensors & real-time route optimization
"Overflowing bins cause pollution, disease, and urban decay — yet most cities still use fixed collection schedules with zero intelligence."
A unified intelligent platform that transforms every bin into a smart node
Measure fill level with ±1cm accuracy. Triggers alert at 80% capacity threshold.
CNN model classifies waste: organic, plastic, metal, paper, hazardous — 94% accuracy.
Low-power wide-area network transmits data from bins to cloud every 15 minutes.
On-device inference for speed. Cloud aggregation for city-wide pattern learning.
Detect fire hazards and illegal dumping of hot waste in real time.
LSTM model forecasts bin fill rates based on location, day, weather & events.
IoT sensors continuously monitor fill level, waste type, temperature & odor
Data sent via LoRaWAN to cloud every 15 min or instantly on threshold breach
AI engine processes data, classifies waste, predicts fill rates & flags anomalies
Route optimization algorithm generates most efficient collection path in real time
Drivers receive optimized routes on mobile app. City dashboard shows live status