“Traffic data has always existed on Indian roads — in the movement of every vehicle, every crossing, every congested junction. UrbanFlow is built to read that data precisely, and return it in a form that practitioners can act on.”
UrbanFlow is a cloud-based traffic intelligence application that turns raw camera footage from Indian roads into structured, actionable data — vehicle counts by class, directional flow, congestion patterns, and downloadable reports — without requiring new hardware or on-site installation.
This is a demo application. It exists so that traffic engineers, urban planners, transport authorities, and researchers can evaluate what UrbanFlow delivers — and tell us what they actually need. We are in the requirements gathering phase, and your feedback directly shapes what gets built for production.
The production system will support live-streaming and more advanced analytics. This application only accepts video clips.
What You Will Get Here
- Class-wise vehicle counts
- Directional Flow Analysis — incoming vs outgoing
- Congestion Analytics, Peak Detection, and temporal Trends
- Exportable Reports
Inference Accuracy
UrbanFlow delivers an estimated accuracy of ±5–8% on dense mixed-traffic footage. Results may vary slightly across runs due to frame-by-frame inference variability.
For research or planning use, process the same footage 2–3 times and average the results for improved reliability.
What's Next (Roadmap)
- RTSP Streaming Integration: Live CCTV stream processing directly from your network.
- ANPR / ALPR: Automated Number Plate Recognition for localized enforcement.
- Helmet Detection: Real-time compliance tracking for two-wheelers.
We are an applied research team — that work on solving real problems, not controlled test environments. The focus is on reliability under the actual condition: mixed lanes, dense occlusion, heterogeneous vehicle type and variable lightning.
Feedback, collaboration, or questions: support.urbanflow365@gmail.com
Congestion Index Count of active tracked vehicles visible in each processed frame.
Directional Distribution Incoming vs outgoing vehicles detected along the defined path
Vehicle Classification Per-class vehicle distribution with directional split across the spatial boundary.
Big Picture Aggregated vehicle count grouped by dominant category.
Category DominanceTemporal Traffic Flow Number of vehicles analyzed within the spatial boundary, binned per second of video duration.
Units / SecondPCU Analysis Passenger Car Units (IRC:106-1990). Converts heterogeneous Indian traffic into standardized units for road capacity analysis.
Technical Runtime Telemetry
Inference Configuration Profile Figures and numbers below are auto-calculated for best performance.
Auto-configured pipeline parameters
Artifact Settings
Configured visual overlay options
Navigator
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Technical & Performance
About UrbanFlow
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We are constantly refining UrbanFlow. Your technical insights directly drive our roadmap.
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Queries: support.urbanflow365@gmail.com
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