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UrbanFlow

Traffic Intelligence, Delivered from the Cloud

Your existing cameras, pointed at real Indian roads — UrbanFlow turns that footage into structured traffic intelligence. 100% Cloud inference. No new hardware. No site visits.

Open Application → Problem Statement
Live deployment active. Explore the dashboard to discover full institutional analytics.

The Problem

The Problem Statement

Indian traffic is genuinely heterogeneous. The vehicle mix on a single road can include bikes, autos, tempos, cycle rickshaws, cattle, and heavy trucks — often in the same lane, at the same time. Lane discipline is nominal. Occlusion is constant. Lighting varies within a single clip.

This isn't a data quality problem or a tooling gap. It's a fundamentally harder detection environment than what most traffic vision systems are built and tested for. Getting reliable counts under these conditions requires a different level of focus on how the system is built and evaluated.

Many teams are working on traffic detection. UrbanFlow's specific focus is on making it work reliably — on the actual roads, with the actual vehicle mix — not on curated footage in controlled conditions.

01

A highway authority needs PCU (Passenger Car Unit) counts for a stretch of NH-48. Dense mixed traffic, heavy occlusion, varying light. A generic detection tool gives unreliable class splits. The survey still goes manual.

02

A city has 200 CCTV cameras installed. Traffic data from them: zero. The feeds exist — but no system in place can interpret them under real Indian road conditions at scale.

03

A research team evaluates a traffic detection model on a busy Indian corridor. Occlusion, heterogeneous vehicle types, and erratic trajectories push accuracy well below what the benchmark numbers suggested.

About

Who We Are

We are a small computer vision research team focused particularly on traffic intelligence for Indian road conditions — the heterogeneous vehicle mix, erratic lane behaviour, and occlusion patterns that make this a distinctly harder problem than most existing tools account for.

We are in active development — building a system that can reliably interpret the actual Indian road environment, not a simplified version of it. Explore the platform to see our current capabilities, and let's start a conversation about what your team needs.

If you are working on traffic monitoring, infrastructure planning, or urban mobility research, we'd like to hear from you.

Urban Planning
Supporting data-driven infrastructure decisions for city planners and transport authorities
Traffic Management
Enabling structured, automated analysis of road conditions at the level of individual junctions and corridors
Research & Production
Built to bridge the gap between academic traffic research and deployable monitoring systems

Product

How it works

Submit footage from any camera. UrbanFlow returns KPI breakdowns — counts by vehicle class, directional totals, and flow patterns — processed in the cloud.

Status: Cloud engine is fully active. Upload footage to explore real-time telemetry, advanced analytics, and structured outputs.
UrbanFlow Detection Output ● PROCESSING
UrbanFlow detection output showing vehicle counts and class breakdown
01

Standardized PCU & Classification

The system distinguishes 14 vehicle classes (from bikes to multi-axle trucks) and automatically converts them into standardized Passenger Car Units (IRC:106-1990) for accurate road capacity analysis.

02

Speed Profiling & Telemetry

Using advanced pixel-displacement algorithms, UrbanFlow categorizes vehicles into relative speed profiles (Slow/Normal/Fast) and tracks temporal traffic flow over time without requiring radar.

03

Institutional Data Export

When analysis completes, download structured JSON payloads ready for integration into central Transport Management Systems, alongside raw CSV data and annotated video logs.

04

100% Cloud-Native Intelligence

No on-site hardware to install. No physical loop detectors. Submit footage directly from any existing CCTV or IP camera and the heavy-duty inference runs entirely in our cloud.

Try Out Application →

Instant deployment environment. Zero configuration or installation required. Experience the analytics live.

Institutional Integrity

Academic & Institutional Access

The core computer vision engines powering UrbanFlow are maintained securely under Perception365. We provide structured, gated access to our proprietary architectures for verified academic researchers, urban planning institutions, and transport authorities. This ensures robust, peer-reviewed evaluation of our methodology while maintaining the operational integrity of our intellectual property.

Request Institutional Access

Engineered for Extreme Occlusion

The architecture is purpose-built for the chaotic realities of Indian intersections — bypassing generic datasets to directly address heterogeneous vehicle clustering, erratic trajectories, and dynamic field conditions.

Production-Grade Validation

Benchmarks are executed exclusively against raw, uncontrolled highway and urban footage. Accuracy metrics reflect true operational performance, rigorously accounting for dense traffic saturation and adverse lighting.

Strategic Technical Partnerships

We actively engage with transport authorities, smart city integrators, and mobility researchers. We support collaborative pilot deployments and robust evaluation frameworks to accelerate data-driven infrastructure decisions.

What We're Building Next

Our Vision

We're actively working on making things easier for traffic engineers and researchers. Here's what's on the board.

In Development

RTSP Stream Support

Connect directly to a camera feed. Live analysis from any IP camera or CCTV source directly to the cloud.

Exploring

Multi-Camera Junction Stitching

Tracking identical vehicles across multiple non-overlapping camera feeds to understand complex origin-destination paths at large intersections.

Planned

REST API Integration

Direct API endpoints so traffic management systems can stream structured JSON data automatically instead of manual report exports.

Planned

Institutional Deployment Pathway

A structured onboarding process for transport authorities, research institutions, and urban bodies to deploy UrbanFlow against their own camera infrastructure with defined SLAs and support.

Contact

Tell us what you need.

We are in the requirements gathering phase. Input from practitioners in traffic planning, urban research, and transport infrastructure is central to how we define the next stage of development. If your work intersects with these domains, we'd value the conversation.

Can't wait for form responses? We'd love to hear from you directly.

support@urbanflow.in