Desert Satellite Vehicle Detection Tool

I need a small application that, once given a set of latitude-longitude boundaries for a desert sector, automatically pulls the most recent, freely-available satellite imagery every day, stores it locally, and then runs an object-detection model that flags cars and trucks only. The moment a vehicle silhouette is spotted, the program must return its exact coordinates so rescuers can be dispatched quickly.

I’m flexible about the imagery source—NASA, ESA, Google Earth, or any other free feed is fine as long as it delivers cloud-free, high-resolution scenes on a daily cadence. You are welcome to mix sources when one is fresher than another.

The detector has to work at desert scale, so please build it with an established computer-vision framework (e.g., TensorFlow, PyTorch, YOLO, or a similarly robust model) and output the findings in both human-readable (an image with bounding boxes or a simple web map) and machine-readable form (CSV/GeoJSON with lat/long, time stamp, confidence score).

Once I can point the script to a new polygon and receive a list of car and truck coordinates every 24 hours—fully automated, no manual clicks—I’ll consider the project complete.