Edge-Bird uses ML to identify bird species, monitor habitat conditions, support conservation efforts, and protect fragile ecosystems.
Exploring Computer Vision Models as the YOLO at the Edge with the Brazilian Single Board Computer, Labrador!
Create an AI-powered Android app using TensorFlow. js, MIT App Inventor, and enorasisCore. Train your model and deploy in minutes!
A tracker which reads the sensors' data and sends this data via bluetooth UART connection to a mobile device for display.
Tomatoes classifier using Jetson Nano, Edge Impulse and/or Yolov7
Hi friends, how are you :-) hope you all are doing well, I have made a Yoga Pose Detector using machine learning integrated with Arduino.
The AI Mobility Companion uses Arduino UNO Q’s Edge AI to provide real-time, private, offline navigation for the visually impaired.
We can control the Fan, either the program will do it for you. Based on the room temperature. And send an SMS when Temperature is too High.
Make amazing alarm clock with different sounds. Here is your chance to make a your own smart alarm clock using bolt wifi module and buzzer.
Learn how to update the streaming firmware on the PSoC™ 6 AI Eval Kit, to take advantage of the latest protocol and sensor support.
My previous Chatbot updated to Python 3, using Docker and PostgreSQL
This project shows integration of Ethernet connectivity with the Raspberry Pi Pico and TensorFlow Lite Micro for efficient person detection
TinyAutomator brings the power of Waylay IO automation technology to the edge. Now combined with NVIDIA Jetson!
In this project, we will be using SensiML and QuickLogic QuickFeather to predict Solar Panel Voltage at different irradiance levels.
Part 2 optimizing ML series shows using ethos-u vela to compile a model to a smaller, faster version to run MaaXBoard OSM93
Monitoring temperature. Using SMS, LED and buzzer alerts when temperature crosses threshold. Graphical prediction of temperature with time.
Home Events monitor communications, process packets, and detect events in the local network, using Raspberry pi pico (RP2040).
Meet NextAssistant: An Intelligent, Adaptable, Human-Centered, and Proactive Home Assistant
This project is participating the Challenge Climate Change contest, project title is "Noise pollution minimization for on-road vehicle".
PyTorch model trained on a laptop, runs on a $6 Pico 2 W. No Python, no OS, no malloc.
It is a device which helps in anti theft application, it monitors you vault through out and also stores the data in cloud.
Pest recognition based on audio sound powered by Nordic Thingy53.
Detecting IC, LED & resistors using GRove AI & Edge impulse
Our tool supports people in an outdoor environment by notifying them about certain sounds that may endanger them on their commute.
