Perception365: UrbanFlow

Welcome to the official repository for UrbanFlow — a high-performance, cloud-native perception engine engineered for the complexities of modern urban mobility and traffic intelligence.

Transforming raw visual data into institutional-grade actionable insights.

The gap between curated benchmarks and operational reality is where most vision systems fail. Generic datasets often overlook the chaotic density, extreme occlusion, and heterogeneous vehicle mix of real-world urban intersections.

UrbanFlow is designed to bridge this gap.

Strategic Vision

We focus on production-grade cloud inference, moving beyond the constraints and maintenance overhead of hardware-locked edge devices. By leveraging scalable cloud architectures, UrbanFlow delivers high-throughput analytics and sub-pixel tracking accuracy for transport authorities and smart city planners.

Core Capabilities

• Precision Class Detection: Optimized for most common 14 vehicle classes including those unique to the Indian road environment.
• Institutional Metrics: Native support for PCU analysis (Passenger Car Units) aligned with IRC:106-1990 standards.
• Temporal Flow Tracking: Advanced pixel-displacement speed profiling and temporal congestion mapping.
• Enterprise Interoperability: Structured JSON/CSV telemetry designed for direct integration with Transport Management Systems (TMS).

Our Methodology

Each model in the UrbanFlow ecosystem is validated against raw, uncontrolled urban and highway footage. We prioritize:

• Resilience: Robust tracking through dense traffic saturation and adverse lighting.
• Scalability: High-performance inference pipelines that scale with institutional demand.
• Integrity: Gated access for verified researchers and planning authorities to ensure methodological rigor.

Perception is the foundation of the modern smart city.
We are building the intelligence layer that makes urban flow actionable.

Built for Precision. Optimized for the Cloud.