About EnerSense AI
An intelligent monitoring system designed to optimize campus space utilization, reduce energy consumption, and promote sustainable practices through real-time occupancy detection and anomaly alerts.
Real-time occupancy tracking across all campus rooms with detailed sensor data visualization.
Intelligent occupancy scoring using WiFi, motion, and schedule data with weighted probability calculations.
Rule-based detection system identifies energy waste, sensor malfunctions, and scheduling conflicts.
Instant notifications for detected anomalies with severity-based prioritization.
Interactive charts and dashboards for quick insights into campus space utilization.
Designed to reduce energy waste and promote efficient use of campus resources.
How It Works
1. Data Collection: Sensors collect WiFi device counts, motion activity, temperature, and electricity usage from each room.
2. Occupancy Calculation: Our AI combines sensor data using weighted probabilities (50% WiFi + 30% Motion + 20% Schedule) to estimate room occupancy.
3. Anomaly Detection: Rule-based analysis identifies issues like high energy use in empty rooms, AC misuse, or scheduling conflicts.
4. Alerts & Action: Facility managers receive real-time notifications to take corrective action and reduce waste.
Meet the talented individuals behind EnerSense AI