Turning Urban Data into Real-Time Insight through AI

Tender details

DND/CAF seeks an AI platform that turns existing city infrastructure into a real-time sensing network without installing new hardware. The solution must ingest multiple urban data sources such as cameras, acoustic sensors, air-quality monitors, vibration sensors, and RF feeds, then detect anomalies or threats like unauthorized drones or unusual movement. Outputs should be machine-readable, explainable, and compliant with Canadian privacy and data rules.