React, React Native and Vue UI components for building data-driven apps with Elasticsearch

UPM is a high level repository that provides software drivers for a wide variety of commonly used sensors and actuators. These software drivers interact with the underlying hardware platform through calls to MRAA APIs.

Open Source Home Automation system for .NET

An Elixir Evolutive Neural Network framework à la G.Sher

YOLO Autonomous Drone - Deep Learning Person Detection: The YOLO Drone localizes and follows people with the help of the YOLO Deep Network

Simulator + benchmark suite for Micro Aerial Vehicle design.

Open source library for controlling Moeller XComfort devices through the USB/RS232 dongle

This is a widget plugin for http://freeboard.io

A way of interconnecting sensors, actuators and other data sources

Library to control ROBOTIS Dynamixel smart servo actuators with the OpenCM9.04 microcontroller

A Raspberry Pi OS image for flashing Tuya devices with custom firmware

kotlin-spring-boot-prometheus-grafana-example

Hyperledger Composer (blockchain) + React (frontend) that lets users manage smart home sensors and actuators

Lecture notes on sensors and actuators using ipython notebooks.

Hardware Robot Operating System (H-ROS) command line interface

A haskell web project.

We build high performance actuators for robot!

OpenC2 Message For Java

A variety of sensors and actuators connected to the famous ESP8266 and communicating via MQTT. Webserver configuration for WiFi MQTT and sensor/actuator parameters

Simple implementations of Spring Cloud services

various usefull/useless WiFi MQTT devices hooked up to Node Red and Home Assistant

A fully fledged qToggle implementation written in Python

A lightweight qToggle OS for the Raspberry Pi

Scripts for building NodeMCU / wifi ESP8266 sensors or actuators / and Simple Agents

MATLAB assigments. From the first steps to the simulation of the motors with Simulink.

A qToggle implementation for the ESP8266

Autonomously drive a car on a track using a kinematic model.

The robot has been developed and programmed by IC 4093 control. Designed to move independently and avoid obstacles by either moving left, right or backward. Then the robot will move forward by using infrared sensors to adjust their moving. Obstacles avoid-er programmer use Otto 4 legs which rely upon two infrared emitters & a receiver to sense obstacles in its environment then the programmed will order to avoid the obstacle by either stop, moving backward, or change direction to move forward. First and foremost the two sensors are connected at the front of the robot to sense the obstacle. The sensor consists of an IR led and IR sensor pair, the light transmitted from the led is reflected from the obstacle which comes in front of the robot.

YSDI-project archive where you can find all the code and documentation produced in our design of an Ambient Intelligence system.