Show HN: ESPectre – Motion detection based on Wi-Fi spectre analysis

Summary

🛜 ESPectre 👻 Motion detection system based on Wi-Fi spectre analysis (CSI), with Home Assistant integration. 📰 Featured Article: Read the complete story behind ESPectre on Medium 🇮🇹 Italian, 🇬🇧 English ⚠️ Disclaimer: This is an experimental project for educational and research purposes. The author assumes no responsibility for misuse or damage resulting from the use of this system. Use responsibly and in compliance with applicable laws. 📑 Table of Contents 🎯 In 3 Points What it does: Detects movement at home using Wi-Fi (no cameras, no microphones) What you need: A ~€10 device (ESP32-S3) + Home Assistant or MQTT server + ESP-IDF development tools Setup time: 30-45 minutes (first time, including ESP-IDF setup) 🔬 Mathematical Approach This project currently does NOT use Machine Learning models. Instead, it employs a mathematical approach that extracts 10 features from CSI (Channel State Information) data using statistical and signal processing techniques. Key Points ✅ No ML training required : Works out-of-the-box with mathematical algorithms : Works out-of-the-box with mathematical algorithms ✅ 10 extracted features : Statistical, spatial, and temporal features : Statistical, spatial, and temporal features ✅ Real-time processing : Low latency detection on ESP32-S3 hardware : Low latency detection on ESP32-S3 hardware ✅ Foundation for ML: These features can serve as the basis for collecting labeled datasets to train ML models for advanced tasks (people counting, activity recognition, gesture detection) The mathematical approach provides excellent movement detection without the complexity of ML model training, while the extracted features offer a solid foundation for future ML-based enhancements. 🛒 What You Need Hardware (Total: ~€10) ✅ 2.4GHz Wi-Fi Router (the one you already have at home works fine) (the one you already have at home works fine) ✅ ESP32-S3 DevKit bundle with external antennas (~€10) - Available on Amazon, AliExpress, or electronics stores ESP32-S3 Dev...