● batear — Ultra-low-cost, off-grid acoustic drone detector (ESP32-S3 + LoRa). Edge computing. Protect your airspace with a microphone.
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drone-detection
Here are 42 public repositories matching this topic...
This repository provides a dataset and model for real-time drone detection using YOLOv8, contributing to enhanced security and privacy protection. Join us in advancing drone detection technology for safer environments.
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Introducing a curated dataset for drone detection and a state-of-the-art YOLOv7 model, enabling real-time and accurate identification of drones in complex environments.
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Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.
pytorch object-detection jetson-tx2 small-object-detection yolov5 drone-detection flying-objects uav-detection
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Real-time drone detection and tracking using YOLOv11x with heatmap visualization. Trained on custom UAV dataset, optimized for small, fast-moving targets.
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TIB-Net: Drone Detection Network With Tiny Iterative Backbone
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🔇 A production-grade deep learning system for real-time drone/UAV detection through acoustic signature analysis. Converts raw audio to Mel-Spectrograms and classifies using a custom CNN. Features auto-dataset ingestion, defense-optimized metrics (high recall), early stopping, model checkpointing, and a ready-to-use inference API.
python machine-learning deep-learning pytorch convolutional-neural-networks librosa binary-classification mel-spectrogram real-time-detection drone-detection uav-detection acoustic-surveillance spectrogram-analysis defense-technology
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Detection of Drones using Computer Vision Algorithms
python opencv computer-vision deep-learning jupyter-notebook google-colab yolov4 yolov5 detr drone-detection
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Advanced radar-based classification system for detecting and distinguishing UAVs, birds, and RC aircraft using SVMD signal decomposition and deep learning feature extraction.
deep-learning signal-processing matlab squeezenet time-frequency-analysis drone-detection variational-mode-decomposition uav-detection radar-signal-processing spectrogram-analysis svmd drone-bird-classification
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This project provides a trained YOLOv8 model for detecting both multirotor and fixed-wing UAVs (drones) in visual data. Includes example usage and documentation.
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From dataset https://universe.roboflow.com/drone-detection-pexej/drone-detection-data-set-yolov7/dataset/1 a model is obtained, based on yolov10 to detect drones in images. Predictions from several models are used in cascade to obtain the optimal result.
computer-vision deep-learning drones object-detection kaggle-dataset drone-detection ultralytics roboflow-dataset roboflow-api yolov10
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UAV Object Detection using transfer learning with YOLOv5x
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🛡️ Develop systems for monitoring and defending against drones using distributed sensors, data fusion, and AI analysis for enhanced security.
robotics surveillance remote-monitoring electronic-warfare threat-detection real-time-analysis drone-detection unmanned-aerial-vehicles signal-jamming outdoor-security tarcza-antydronowa anti-drone-system security-technology military-technology defense-solutions
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Një model për ti detektuar dronat nga imazhet, videot dhe regjistrimet në kohë reale duke përdorur YOLOv3 dhe PyTorch.
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Drone YOLO Object Detection 📦🛩️ This repository contains a full pipeline for training a YOLOv8 model on custom drone footage data for object detection and line-crossing analysis. The implementation uses the Ultralytics YOLOv8 framework and is tailored for lightweight and fast inference using the YOLOv8 Nano variant.
python computer-science machine-learning computer-vision drone machine-learning-algorithms data-visualization artificial-intelligence artificial-neural-networks python-3 artificial-intelligence-algorithms drone-detection dronedetect hawkwatch
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YOLOv8-based drone detection model for real-time identification of drones, UAVs, birds, and airplanes. Developed after the 12-day Iran-Israel conflict to enhance aerial threat monitoring.
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Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm
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AeroDetect is a real-time object detection project that identifies drones, helicopters, and airplanes in images and videos using a custom-trained YOLOv11n model. The project includes a web interface built with FastAPI that allows users to upload media and visualize detection results instantly.
computer-vision deep-learning image-processing video-processing real-time-detection fastapi drone-detection airplane-detection yolo11-detection helicopter-detection custom-trained-model
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AIegis Beam (formerly known as Mini C-RAM (Counter Rocket, Artillery & Mortar)), the real-time drone detection/tracking system (university capstone project).
python opencv matlab jupyter-notebook tensorboard dmx qlcplus drone-detection drone-tracking yolo12 aiegis-beam mini-c-ram
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