Active DevelopmentComputer Vision · AI Systems2025 — present

TrafficPulse

Traffic analytics platform that turns raw video into structured scene understanding, not just detections.

Role · Lead engineer

Overview

TrafficPulse is a traffic analytics platform built around scene understanding. The objective is to move beyond per-frame object detection toward a system that models actors, lanes, signals, and traffic rules well enough to surface events a human operator would recognize as meaningful.

Problem

Standard vision stacks emit bounding boxes and class labels. Traffic operators need semantics — who is doing what, where, and whether it violates the rules of the road. That gap between detections and understanding is where most naïve pipelines fail.

Solution

A layered pipeline: perception (detection, segmentation, multi-object tracking), scene modeling (typed relations between actors, lanes, and signals), and a reasoning layer that maps observations onto traffic semantics. Each layer has a stable interface so components can be replaced independently.

Tech stack

Python
FastAPI
OpenCV
PyTorch
React
TypeScript
Docker

Engineering notes

What's shaping this build.

Design goals, philosophy, planned architecture, and where the project stands today. No fabricated benchmarks — only what's actually driving decisions.

Design goals

Understand scenes, not just detect objects.
Keep inference honest at streaming rates on realistic hardware.
Make the evaluation harness score scene semantics, not per-frame accuracy.

Philosophy

The interesting engineering sits between the layers — tracking identity through occlusions, calibrating camera geometry to real-world coordinates, and defining what a correct answer even is.

Planned architecture

Three cooperating layers: perception, scene modeling, and reasoning — served behind a FastAPI service with a thin React dashboard for operator review.

Current stage

Perception and tracking backbone; first pass at the scene representation; a single-camera dashboard for live review.

Links

Repository and demo links will appear here once the project is ready for public review.

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