Discover the best Open Source RTOS solutions for embedded systems and IoT devices
A library for integrating sensors with Ardupilot and PX4 via the DroneCAN protocol using the Arduino framework. It abstracts the DroneCAN layer to simplify message handling on STM32-based hardware like the Beyond Robotix CAN node series.
A versatile ESP32-based firmware designed for offensive security and Red Team operations. It supports a wide range of hardware including M5Stack and Lilygo devices, providing features for WiFi attacks, BLE manipulation, RF/RFID interaction, and a built-in JavaScript interpreter.
An open-source firmware for the ESP8266 designed to perform 802.11 network security testing, including deauthentication and Evil Twin attacks. It features a user-friendly web interface, a comprehensive serial command-line interface, and support for OLED display modules. The project serves as both a security auditing tool and an educational resource for learning about WiFi protocols and microcontroller programming.
An ESP32-based firmware designed to connect Heidelberg Energy Control wallboxes to WiFi networks. It emulates a Daheimladen-compatible interface, allowing for seamless integration with energy management platforms like evcc and Home Assistant via MQTT and REST APIs.
A firmware project for monitoring air quality and CO2 levels using the MQ135 gas sensor with Arduino-compatible microcontrollers. It features a specialized calibration workflow and supports data output via OLED displays, ThingSpeak, and Home Assistant via MQTT.
A power-efficient environmental sensor project built on the XIAO ESP32C6 using the ESP-IDF framework. It supports Wi-Fi and ZigBee connectivity, MQTT messaging, and integrates Bosch BME280/BME680 and Sensirion SGP41 sensors for comprehensive air quality monitoring.
An end-to-end workflow for Quantization Aware Training (QAT) and deployment of YOLOv26n on the ESP32-P4 SoC. It utilizes the ESP-DL library and a custom dual-head architecture to achieve high-performance, NMS-free inference. The project includes both a Python-based quantization pipeline and an optimized C++ firmware engine.
A dynamic robot eye animation system that expresses emotions on an OLED display based on real-time sentiment analysis. It utilizes a CAP10 Pratham (ESP32) microcontroller to drive the display and a Python-based backend for speech-to-text transcription and LSTM-driven sentiment classification.
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