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.
drone-detection 开源项目推荐(165 个)
drone-detection 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 165 个仓库● batear — Ultra-low-cost, off-grid acoustic drone detector. Edge computing. Protect your airspace with a microphone.
ATAK的多协议SDR信号检测与三角测量系统。利用RTL-SDR和HackRF检测分布式接收器的无线电发射。
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.
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.
🔇 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).
The app is designed for drone signal detection, spectrum analysis, and experimental jamming using HackRF. False positives are possible, but the program attempts to analyze signals based on many drone-specific parameters.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/drone-detection。
- 该话题在 GitHub 上共有 165 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2051 Star,覆盖 8 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。