drone-detection

● batear — Ultra-low-cost, off-grid acoustic drone detector. Edge computing. Protect your airspace with a microphone.

Open-source acoustic drone detection. It hears the propellers, not the radio, so it works against fibre-optic FPV aircraft that emit no signal at all.

Multi-protocol SDR signal detection and triangulation system for ATAK. Detects radio emissions from distributed receivers using RTL-SDR and HackRF.

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.

Real-time drone detection and tracking using YOLOv11x with heatmap visualization. Trained on custom UAV dataset, optimized for small, fast-moving targets.

Passive Flipper Zero surveillance detector. Pairs with any ESP32 to find Flock Safety and other ALPR cameras, acoustic sensors, body-worn police cameras and drones over Wi-Fi and BLE. Decodes drone Remote ID, including the operator's position. Geotags, maps, learns new signatures, exports redacted DeFlock reports.

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.

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.

RF Sentinel (RFSentinel): free, open-source police detector app for Android. Spots police body cams, Flock ALPR cameras, AirTag trackers, Remote ID drones, smart glasses and fake cell towers from Bluetooth LE and WiFi. No root.

🔇 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.

TIB-Net: Drone Detection Network With Tiny Iterative Backbone

GhostBLE is a BLE privacy scanner for the M5Stack Cardputer. It discovers nearby devices, analyzes their privacy posture, and visualizes BLE activity with the interactive mascot Nibbles.

Advanced radar-based classification system for detecting and distinguishing UAVs, birds, and RC aircraft using SVMD signal decomposition and deep learning feature extraction.

Situational awareness platform for distributed counter-surveillance sensors over LoRa mesh.

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.

Detection of Drones using Computer Vision Algorithms

Detect and identify drones in real time with passive RF scanning on M5Stack CoreS3, no radio emission, cloud, or external dependency

This project provides a trained YOLOv8 model for detecting both multirotor and fixed-wing UAVs (drones) in visual data. Includes example usage and documentation.

Home Assistant integration + Lovelace map card for D.A.R.S. drone Remote ID receivers (BLE, local push).