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Detect, count, and track truck traffic on any highway on Earth using nothing but free Sentinel-2 imagery and a browser.

16
6
100% credibility
Found Apr 15, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

DrishX is an open-source web application that processes free satellite imagery to detect large vehicles on roads and generate traffic volume, speed, direction, and trend reports for any location worldwide.

How It Works

1
πŸ” Discover DrishX

You stumble upon this free tool that watches truck traffic on any road worldwide using space photos.

2
πŸ’» Set it up on your computer

Download the files, install the simple needs with one command, and start the program to open a map in your web browser.

3
🌍 Link free satellite access

Sign up for a quick free account at the space photo service and enter your details in the app to unlock global views.

4
πŸ—ΊοΈ Pick your road

Right-click on the map, draw a box around the road or area you're curious about, like a highway near a port.

5
πŸš€ Launch the scan

Hit analyze and watch the progress as it pulls recent space photos and spots moving trucks automatically.

6
πŸ“Š Review the traffic insights

See maps with truck spots, speeds, directions, and charts showing how busy it's been over weeks or months.

βœ… Track changes anywhere

Now you can monitor economic activity, supply routes, or any road's trends from your desk, updated every few days.

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Star Growth

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AI-Generated Review

What is DRISH-X-Satellite-powered-freight-intelligence-?

This Python app with a FastAPI backend and browser frontend lets you draw any highway section on a Leaflet map, then detect, count, and track large truck traffic using free Sentinel-2 imagery from Copernicus. It spots vehicles via spectral smears from band timing offsets, outputting lat/lon positions, speeds, headings, and time-series trends over weeks or months. No ground sensors or paid data needed – just a free Copernicus account to count detections globally in minutes.

Why is it gaining traction?

Zero infrastructure for planet-scale freight intel beats pricey commercial satellite APIs, with a responsive browser UI streaming progress and charts for quick trend comparisons across sites. Presets for chokepoints like Bandar Abbas highways hook OSINT devs, while env vars or UI auth make setup dead simple. Runs locally, caches data, and handles clouds by skipping bad frames.

Who should use this?

Supply chain analysts benchmarking routes, journalists verifying trade corridor activity, sanctions monitors detecting country-level flow shifts via truck counts, or defense researchers baselining access road volumes near sites. Ideal for devs building dashboards needing satellite truck detection without custom pipelines.

Verdict

Promising prototype at 16 stars and 1.0% credibility score – great docs and MIT license lower barriers, but grab the external RF model for full accuracy over the proxy. Test it for browser-based highway counts if free global trends fit your stack; skip for real-time or car detection.

(198 words)

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