AERONYXEL: Advanced Stealth Object Detection Radar System with Sensor Fusion and AI
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2025
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| _version_ | 1866901594759495680 |
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| author | The People's University of Bangladesh |
| author_facet | The People's University of Bangladesh |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15775676 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AERONYXEL: Advanced Stealth Object Detection Radar System with Sensor Fusion and AI The People's University of Bangladesh 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 <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> |
| title | AERONYXEL: Advanced Stealth Object Detection Radar System with Sensor Fusion and AI |
| topic | 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 |
| url | https://doi.org/10.5281/zenodo.15775676 |