I

iot

The main project for OctoMY™ - Ready-to-run robot software

"Self-hosted event log for Apple HomeKit and Matter devices"

https://homechronicle.net

Web pages in french https://stm32python.gitlab.io/fr/

This is a mirror of the aioCoAP source code. For issue tracking, see its github project; CI at codeberg.

Repositorio Fork del proyecto Robert (AGV Logístico). Interfaz HMI desarrollada en Svelte para visualización de telemetría y control de flota. Proyecto realizado en colaboración.

Staged edge updates - control plane, agents, wave rollouts, Helm & Compose.

Embedded system for real-time orientation tracking using an ESP32 and MPU6500 IMU. Sensor data is transmitted to a Node.js server and visualized in a web interface with interactive 3D rendering.

The efficient alternative to Neural Networks. Implements SLRM (Segmented Linear Regression Model) for neural compression and non-linear data modeling, achieving high precision with a fraction of the parameters of a traditional ANN.

Awesome and Cool Stuff Relating to Cloud Itself, Cloud Computing, Cloud Architecture, Virtualization and IoT.

Kontrol dan monitor aquarium dengan menggunakan bot Telegram.

[2023-2024] Community-powered PM2.5 pollution monitoring network. Hacks €12 IKEA sensors into GPS detectors with real-time mapping. Mobile data collection across neighborhoods, offline sync capability, and community workshops making environmental monitoring accessible.

Argus is an IoT security monitoring and resource management tool designed to integrate seamlessly with the Chirpstack Application Server. It collects event metrics, monitors network resources, stores relevant metrics in InfluxDB, and downsamples it with pre-defined Influx Tasks. Argus utilizes Celery workers for background task processing, including periodic threat detection checks and metric data processing. It can be deployed as Docker containers via Docker Compose for easy setup, scalability, and management.

TP-Link Bulb Web

This is a variant of our CamTrap.AI project (https://gitlab.com/IOTGarage/camtrap.ai). Our original CamTrap.AI system was designed to handle around 1,000 images at a time. CamTrap.AI Bulk Classifier is specifically developed to efficiently classify over 2 million images captured by DGFC (https://www.dgfc.life/) over a decade

This project combines our own and well-known camera trap image classification pre-trained models under one roof. It integrates them via an ensemble model to increase the trustworthiness of the classification decision.

🚪📡 Open a door remotely using iot webhook and a FingerBot, useful for Airbnb rentals