Car honk detector using Edge Impulse
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Updated
Mar 9, 2020 - Python
Car honk detector using Edge Impulse
Remote Physiotherapy System made using LoRa & ML
Run Machine learning on a microcontroller with an accelerometer sensor to classify different moves with the racket - Forehand, Backhand, Serve, and Idle.
A Node-RED node for running an impulse created by the Edge Impulse development platform.
The project is aimed towards the doctors that want to get vital health related data from the paitents without having to be in contact or in a range. With the working of buzz-beat, we have made a wireless all over the globe execution for capturing and responding to sensor data for the following
Recognizes the "Rrrring" sound of my doorbell using Node-RED & Edge Impulse and posts a message on my slack channel.
Car state detection (normal, accident, idle) for RP2040/Pico board, using TinyML and Edge Impulse
AI-based pneumonia classifier using Edge Impulse which can run on cheap devices consuming less than 1 mW.
Sound event detection demo with Edge Impulse and the SAME54 Curiosity Ultra board
Keyword spotter demo with Edge Impulse and the SAME54 Curiosity Ultra board
IoT and Machine Learning based system for banana disease and pest detection
Edge Impulse firmware for Syntiant TinyML board, a project of Funpack
Preparation for 2021 season of RobocupJr Maze Robotics category. Placed Top 10 in Worlds.
Find out how to measure motor vibrations using the Sensor Featherwing and create a Machine Learning algorithm on the Portenta board to detect anomalies.
Test EdgeImpulse on esp32cam
This repository provides an explanation of the process involved in training a Convolutional Neural Network for image classification, with the aim of deploying it on edge devices such as Arduino Nicla Vision, which is limited to 256 kb of RAM.
It's classify the motion and vibration data from a stand fan. This is to mimic using embedded machine learning in an industrial environment. We want to be able to determine if a machine is off, on, low, high, anomaly, etc.
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