Intro into robotics, neural web and ML with arduino, raspberry pi4
Deploy YOLOv8 on the Rockchip RK1820 AI accelerator with RKNN3, covering model conversion, runtime setup, and real-time object detection.
Using air quality metrics, effective forest fire detection and planning can be achieved.
This tutorial detail the steps for adding new ML model either from Vitis AI model zoo or custom model in VVAS and running it on KV260 board.
An anomaly detecting freezer monitor designed to work in ultra low temperature scientific freezers.
As lock down eases , SOP mandates face masks in public places. This project is to identify folks who are not wearing masks and warn them.
Build a custom anomaly detecting freezer monitor using Microsoft Azure and Edge Impulse.
An exploration of accelerating the MediaPipe models with AzurEngine
Monitoring temperature, informing right before it moves above or below threshold value by applying machine learning algorithms.
Build your own AI applications that use a camera and other sensors, for the RzBoard. And power them with DRP-AI C++ libs from Edge Impulse.
Novel method for colorizing sequential content
Can you imagine typing on your computer without touching a single keyboard? This device reads and translates your gestures into written text
This project describes how to add support for ROS2 to the ZUBoard.
Detection of faults in an engine through continuous monitoring of current consumption, using Nordic Thingy:53 and ML algorithms.
This project shows how to use Arduino with single board computers to recognize hand written digits and display on a 7-segment display.
By analyzing vibrations in real time, Edge AI detects early signs of CNC milling failures, allowing for predictive maintenance that minimize
A smart device that detects running faucet using a machine learning model running on an ultra-low-power PSoC 6 MCU and sends an SMS alert
mimicArm is a collaborative A.I. robot that teaching coding human/robot interaction, robot decision making, and machine learning.
Train a small Arduino device with Machine Learning to detect harmful gases
Surangani is a voice application developed to monitor the energy usage of home appliances.
Smart Van Box is an Open Source project that wants to become your personal assistant for your road trips.
This kit's combination of powerful machine learning accelerator and stereo vision cameras makes novel applications possible
Suitable for light machine learning inference workloads, easy to setup and use.
The device runs an ML model to detect smoke and fire in the wild. It uses LoRaWAN for long-range and low-power communications.
