RadarHub - AI Speed Radar & Traffic Vision (Python + YOLO)

v1.2.0 18 views 0 downloads ai, speed radar, traffic, yolo, opencv, vehicle detection, python, computer vision, rtsp, cctv, traffic counting

Turn any camera into an AI speed radar

RadarHub watches any video feed and turns it into traffic intelligence: it detects every vehicle with AI, tracks each one, measures its real speed in km/h, counts traffic by type, and flags speeders with photo evidence. Everything runs on your own hardware: no cloud, no per-camera fees, no subscription.

Key features

  • AI vehicle detection: cars, trucks, buses, motorcycles (pretrained YOLO, no training needed)
  • Real speed measurement: calibrated perspective transform maps pixels to road meters, the professional method
  • Persistent tracking: every vehicle keeps one stable ID across frames
  • Violation logging: photo snapshot of every speeder + one-click CSV export
  • Traffic counting: per-type counts on a virtual line
  • Live web dashboard: annotated video, live counters, speeds and violations feed in any browser
  • Three input types: video file, RTSP/IP camera, webcam / OBS virtual camera
  • Point-and-click calibration: click 4 points, enter real meters, done
  • Privacy by design: footage never leaves your machine

Perfect for

  • Municipalities and campuses monitoring streets and school zones
  • Parking, logistics and industrial sites enforcing site limits
  • Traffic engineering consultancies running studies from any footage

What you get

Full Python source code, web dashboard, calibration tool, CLI, full documentation, test suite. Lifetime license, updates included.

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IMPORTANT: this is a Python application, it runs on your own computer, VPS or dedicated server. It does NOT run on shared PHP hosting (cPanel-only webspace). Requirements: Python 3.9+ on Windows, macOS or Linux, 4 GB RAM minimum. Runs on CPU; any NVIDIA GPU enables real-time HD processing. Works with any video file, RTSP/IP camera, or webcam.
  1. Unzip the package
  2. Run python -m venv .venv and activate it
  3. pip install -r requirements.txt
  4. Start: python main.py dashboard --source 0 and open http://localhost:8080
  5. Calibrate once per camera: python main.py calibrate --source your-video.mp4 --width 3.5 --length 20

Full guide: see docs/documentation.html inside the package or the online docs.

Do I need a GPU?

No. CPU works with the default nano model. Any NVIDIA GPU gives real-time HD.

Is it legal for enforcement?

RadarHub is a measurement and analytics tool. Official fines usually require type-approved devices; use it for studies, private sites and monitoring, and check local regulations.

Does footage leave my machine?

Never. Detection, dashboard and snapshots are all local.

Multiple cameras?

Run one instance per camera on different ports.

RadarHub - AI Speed Radar & Traffic Vision (Python + YOLO)

v1.2.0
Featured New White-Label B2B (for businesses)
Best fit: Built for businesses, agencies, and teams — internal tools, B2B SaaS, dashboards, lead-gen, and back-office systems.
€99.00
One-time purchase · No subscription
License Options
Standard License
Use for 1 project
€99.00
Extended License
Unlimited projects + resale
€299.00
Versionv1.2.0
CategoryAI Tools
Downloads0
Last UpdatedJul 6, 2026
Selleradmin
3+ years free updates & security patches included with purchase.

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