NoQu explores a crowd intelligence system designed to reduce uncertainty in public spaces.
Crowd density estimates can be generated using anonymous location patterns and public movement signals.
AI models estimate queue lengths and waiting times using historical traffic patterns and live activity.
The system can identify congestion hotspots inside malls, stations, restaurants and event venues.
The goal is not just reducing waiting time — it is reducing uncertainty before people even arrive.