A Bluetooth node that tracks capacitor ESR while a supply is running and warns you before it dies.
Detect electrical connection degradation before failure using precision sensing, Edge AI, and low-power Bluetooth monitoring.
Implement seamless high-speed MIPI CSI-2 image sensor bridging and signal integrity using the Meticom MC20901 and FPGA.
Integrating a Galil controller and Keyence laser via Python to deliver real-time 3D topographical rendering and surface analysis.
An AI-powered automated PCB/PCBA inspection system built on Arduino Uno Q and Edge Impulse.
Train LeRobot policies from real demonstrations and deploy on the Dragonwing IQ-9075 NPU for autonomous pick and place task.
ObdiiUartMkrShield is a socket board for Arduino MKR board to talk with vehicles through ODB-II interface.
An indoor air quality monitoring system for detecting toxic gases.
Use Pushbullet to notify you of whatever your hardware is doing
Recycle Bin that sorts rubbish based on the sound of collision using Edge AI audio classification.
This is 3-axis CNC plotter/engraver based on GRBL software and 2020 aluminum extrusions. Low-cost engraving and PCB manufacturing dual side.
Send RFID tag data to the EOS blockchain for novel supply chain, manufacturing, tracking and access control applications.
MKR WiFi 1000 talks to a car through OBD-II interface, and uploads the data to IoT cloud for real-time monitoring and post-processing.
What has 6 legs, 18 joints, and a computer for a brain? My daughter's new pet.
Robot that drives using computer vision and speech commands.
CoolMOS based isolated AC or DC load controller with ZVS switching and short circuit, overload, over/under voltage & frequency protections
The device is able to turn a personal computer into a modern instrument for laboratory research.
Base project for implementing DC motor control using the Raspberry Pi's I2C interface and an Adafruit 16-Channel Servo Shield.
If you quickly want to exchange messages between 2 or more LoRa-E5 modules, this project will act as a guide to you!
BlogTut for IoT platform Firebase with I2C sensor module and Raspberry Pi.
This example demonstrates how to leverage the power of Azure IoT Hub and Stream Analytics to send realtime alerts based on business rules.
Collect environmental factors and culture amount while producing yogurt. Then, run a neural network model via Blynk to predict its texture.
A live dashboard was created with Node-RED and runs on a Raspberry Pi 3 B+ version to display the various KPI and important live data.
Using Rasberry Pi 2, Azure, and Voice Assistance (Windows and Android) observe how your home not only gets automated, but also self aware.
