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Trafficlab 3D

TrafficLab 3D is an open-source Python application that calibrates CCTV footage against a satellite map, runs object detection and tracking, and visualizes traffic in synchronized camera and satellite views.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Trafficlab 3D — OpenViST project profile in AI Data & Analytics.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use TrafficLab 3D for an academic or demonstration workflow when you have MP4 CCTV footage and its map location, and can prepare the required camera-to-map calibration and model inputs.

Who it is for

  • Students exploring computer vision in traffic scenes.
  • Individual investigators and enthusiasts creating traffic demonstrations from CCTV footage.
  • People seeking to relate a camera view to its Google Maps location without access to synchronized high-quality satellite imagery.

Documented uses

  • Calibrate a CCTV view to a satellite-map view and save the projection for a location.
  • Run object detection and tracking on traffic footage with configurable models and smoothing options.
  • Inspect traffic through synchronized camera and satellite panels, with 3D camera-view boxes and mapped floor boxes, speed and orientation.
Before you choose

Requirements & limits

The project is publicly available on GitHub under the MIT license. Its README documents a local Conda environment and Python launch command.

  • The method supports a single flat planar environment.
  • Occlusion and other detector or tracker errors can produce noisy visualizations.
  • Initial camera-to-map projection and SVG-map preparation can be tedious.
  • The repository describes the codebase as an experimental, monolithic proof of concept.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up and open TrafficLab 3D

Create the documented Conda environment and launch the application.

Before you start

  • A local copy of the TrafficLab-3D repository.
  • Conda installed.

Steps

  1. From the repository directory, create the environment with conda env create -f environment.yml.

  2. Launch the program with the command below.

    Documented command
    python main.py

Expected outcome

The TrafficLab 3D application opens for work across its calibration, inference and visualization tabs.

Guide limitations

  • Launching the application alone does not prepare location calibration data, models or inference outputs.
  • The repository describes the software as an experimental proof of concept for academic and demonstration purposes.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
duy-phamduc68/TrafficLab-3D · Official homepage title · retained in its source language
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