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Bibliografiske detaljer
Hovedforfatter: The People's University of Bangladesh
Format: Recurso digital
Sprog:engelsk
Udgivet: Zenodo 2025
Fag:
AI Radar, Object Detection, Stealth Aircraft Detection, Sensor Fusion, YOLOv8, OpenCV Tracking, Arduino Project, Ethical Surveillance, Humanitarian Defense, RGB Color Recognition, Python AI Application, Real-Time Monitoring, Drone Detection, Missile Tracking, Bluetooth Communication, Web-Based Defense System, Threat Classification, Non-lethal Technology, Kalman Filter Tracking, Multi-Sensor Integration
Online adgang:https://doi.org/10.5281/zenodo.15775676
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Indholdsfortegnelse:
  • <p><strong>AERONYXEL: Advanced Stealth Object Detection Radar System with Sensor Fusion and AI</strong></p> <p>This project presents <strong>AERONYXEL</strong>, a next-generation multi-sensor radar system that integrates artificial intelligence (AI), computer vision, and embedded systems to detect and classify stealth objects in real-time. It is developed as part of a Master's thesis under the Department of Computer Science and Engineering at <strong>The People’s University of Bangladesh</strong>.</p> <p><strong>AERONYXEL</strong> merges various sensing technologies—RGB color, microwave radar, infrared, sonar, and motion detection—with an AI-powered Python application based on OpenCV and YOLOv8 for advanced object tracking and threat recognition. It also features a Bluetooth communication system for mobile alerts and a Laravel-powered web application for RGB material database management.</p> <h3>Key Features:</h3> <ul> <li> <p>Real-time detection of drones, missiles, stealth aircraft, and fast-moving threats</p> </li> <li> <p>AI-based object classification, tracking, and speed estimation</p> </li> <li> <p>Arduino-controlled multi-sensor array with onboard LCD and Bluetooth (HC-05)</p> </li> <li> <p>Web-based RGB object analysis and database search</p> </li> <li> <p>TCP communication with mobile for live data transfer</p> </li> <li> <p>Modular, scalable, and aligned with ethical humanitarian defense</p> </li> </ul> <p>This work sets a benchmark for non-lethal, ethical surveillance and protection technology, focusing on civilian safety and conflict prevention.</p> <p><strong>Institution</strong>:<br>Department of Computer Science and Engineering<br>The People’s University of Bangladesh</p> <p> <strong>Project Repository</strong>:<br><a href="https://github.com/fahimyzx/AircraftDetectionProject.git" target="_new" rel="noopener">https://github.com/fahimyzx/AircraftDetectionProject.git</a></p>

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