Flying Object Detection and Tracking for Defending Designated Zones with YOLO and DeepSORT

This demo project focuses on developing an AI-powered system designed to detect, track, and classify flying objects in real time, with the primary goal of defending a designated Region of Interest (ROI) from a specific type of object—in this example, birds. By combining deep learning models and tracking algorithms, the system processes video feeds to differentiate between target objects (birds) and non-target objects (such as aircraft).

The system's core objective is to monitor and respond to specific objects entering the ROI while ignoring others, ensuring a targeted and efficient defense mechanism that can be adapted to various contexts. It leverages YOLO (You Only Look Once) for object detection and DeepSORT (Simple Online and Realtime Tracking with a Deep Association Metric) for tracking across frames.

🚀 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬:

𝐓𝐚𝐫𝐠𝐞𝐭𝐞𝐝 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧, 𝐃𝐢𝐬𝐜𝐫𝐢𝐦𝐢𝐧𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠
Detects and tracks specific objects in real time, distinguishing them from other non-relevant objects.
𝐍𝐨𝐧-𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐍𝐨𝐧-𝐓𝐚𝐫𝐠𝐞𝐭𝐬
Identifies non-target objects without tracking or interacting with them, allowing resources to focus on the designated threat.
𝐑𝐎𝐈-𝐁𝐚𝐬𝐞𝐝 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞
Triggers specific responses when the target object enters the ROI. For a playful experience, the system “feeds” birds with virtual peanuts in a hostile manner, creating a fun, game-like interaction.

📌 𝐏𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬:

𝐃𝐫𝐨𝐧𝐞 𝐃𝐞𝐟𝐞𝐧𝐬𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Prevent unauthorized drones from entering restricted areas, such as military zones or private property.
𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐒𝐢𝐭𝐞 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: Detect and track specific intrusions near sensitive equipment or infrastructure.
𝐄𝐯𝐞𝐧𝐭 𝐒𝐮𝐫𝐯𝐞𝐢𝐥𝐥𝐚𝐧𝐜𝐞: Monitor large gatherings for unauthorized flying objects like drones.
𝐁𝐨𝐫𝐝𝐞𝐫 𝐏𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧: Track specific aircraft crossing borders in restricted zones.
𝐖𝐢𝐥𝐝𝐥𝐢𝐟𝐞 𝐏𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧: Safeguard sensitive areas from specific animals, e.g., protecting crops from birds or other wildlife.
𝐀𝐢𝐫 𝐓𝐫𝐚𝐟𝐟𝐢𝐜 𝐒𝐚𝐟𝐞𝐭𝐲: Defend airspace from unauthorized drones or birds near airports.