Overview
The Meteorite Detection Model Using UAVs is an advanced system developed at the Space Artificial Intelligence Laboratory (SAIL). It is developed to improve meteorite recovery in harsh and remote environments.
It uses Unmanned Aerial Vehicles (UAVs) equipped with AI models trained to detect meteorites from aerial images.
In the extreme heat of the UAE, this solution minimizes human risk and effort, while significantly increasing accuracy and efficiency in meteorite detection and retrieval operations.
Key Features
AI-Powered Detection : The system uses AI models, including several versions of YOLO (You Only Look Once), a state-of-the-art object detection algorithm, to identify meteorites from UAV-captured images with high accuracy.
UAV Integration :The drones are equipped with onboard processors and compatible cameras, enabling them to cover large areas of desert efficiently, without exposing researchers to extreme heat.
Real-Time Processing : UAVs process the images onboard, allowing for real-time detection and marking of meteorite locations, ensuring quicker identification and retrieval.
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