Projects/AI & ML/Real-Time Multi-Object Detection & Tracking for Autonomous Drones

Artificial Intelligence & Machine LearningMajor Final Year Project

Real-Time Multi-Object Detection & Tracking for Autonomous Drones

Project Overview & Abstract

Robotics and machine learning capstone project optimized for edge deployment. Detects vehicles, obstacles, and humans from high-angle UAV video feeds at 35+ FPS. Features trajectory estimation, collision zone alerts, and automated incident video clip generation.

Technologies & Tools Used

PythonYOLOv8DeepSORTOpenCVPyTorchCUDA

Deliverable Package File Contents

Source Code ZIP Archive

Complete executable project folder with all scripts & configuration.

IEEE Project Report (.docx & PDF)

Includes Abstract, Literature Survey, System Design, Data Flow, Test Cases, and References.

PPT Presentation Deck (.pptx)

Ready 15-20 slide presentation deck formatted for university viva evaluation.

Complete Deliverables PackageVERIFIED

Source Code, IEEE Report & PPT

Direct WhatsApp Order • Instant Deliverables & Support

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Verified Source Code (ZIP)

Formatted IEEE Project Report (.docx/PDF)

Seminar PPT Presentation

Execution Video & Setup Guide

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