AI-Powered Real-Time Drone Detection with YOLO and Computer VisionAI-Powered Real-Time Drone Detection with YOLO and Computer Vision
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Akshat Tripathi
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Aegis — AI-Powered Drone Detection
Aegis is a computer vision system built with YOLO and deep learning to automatically detect drones in images and video streams. The system identifies drones in real time and provides precise bounding boxes with confidence scores for each detection.
The project focuses on developing a fast and reliable object detection pipeline that can be integrated into security monitoring, surveillance, restricted-area protection, and automated aerial monitoring systems.
Key Features
Real-time drone detection using YOLO
Accurate bounding-box localization
Confidence score for every detection
Image and video inference
Optimized computer vision pipeline
Scalable for real-time surveillance applications
Tech Stack
Python · YOLO · PyTorch · Ultralytics · OpenCV · Computer Vision
Aegis demonstrates how modern deep learning and object detection can be applied to build practical AI-powered surveillance solutions.
#ArtificialIntelligence #MachineLearning #ComputerVision #DeepLearning #YOLO #ObjectDetection #Python #PyTorch #OpenCV #Ultralytics #DroneDetection #AISurveillance #RealTimeDetection #ImageProcessing #VideoAnalytics
Data EngineeringData Systems DesignData SciencePythonPyTorchStreamlit
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