A demonstration of Face Recognition Application with QT5 and TensorFlow Lite running on Seeed Studio CM4 powered reTerminal.
In this project, we will see how to use TensorFlow & streamlit to build plant disease detection model
Energy Usage Optimisation With IoT Assisted Machine Learning
I modified this YOLOv5 demo (Running YoLov5 on RK3588 Blade 3 single board) so that it could capture real-time camera feeds.
This tutorial show how to create a machine learning model to predict diabetes in women, compile and run on Azure IoT Starter Kit.
In this project objects like cars and person get detected through a live video stream using a webcam and the background is made blurred.
We trained an ML model which can recognize multiple wake words, deployed on Arduino Nano 33 BLE Sense.
This project walks through how to walk through how to install Kria Robotics Stack, a set of robotics libraries & utilities for the Kria SoM.
Fruit quality is the most important factor in protecting students from health problems
This project is a Getting Started Guide for the ASL Classification that was presented in our Webinar series for ZUBoard.
We will be looking at the Jetson Nano and setting it up for running some out of the box demos to understand the power that this possesses.
The JetCar is a mini self-driving car based on the Jetson Nano. It navigates on a street map and obeys stop text and direction arrows.
Use a Raspberry Pi 5 to spot anomalies in fabric or other textiles with Edge Impulse FOMO-AD
A wearable device that seeks to diagnose movement disorders earlier than is presently possible by leveraging machine learning.
Edge Impulse automatically improves model accuracy with one weird trick!
Eyeglass-mounted device that can be configured to locate a specific type of object or a person. When the target is found, Artemis tracks it.
Get started with ML using our example projects and NXP's software!
An automatic temperature monitoring system with an attached alert system. For any change in given condition a buzzer will sound an alert.
The idea behind this project is to use a trained neural network and try to optimise it to obtain the best hardware performance.
Voice controlled faucet that responds on the edge or by bluetooth.
This project could not only expand the human sense, but could also make humans feel more connected to nature.
Inspired by the project where dinosaur game is played with arduino, I have decided to develop another way to play - with OpenCv and Python.
Use the YOLOv5 RK demo for object detection in a video.
Improvising on Precision Farming technique, through combined efforts of DL & sensing Electrophysiological response from plant.
