Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'

Pneumonia Detection on a Raspberry Pi using balenaCloud and Edge Impulse.

A Rust library for running Edge Impulse Linux models

ROS2 wrapper for Edge Impulse

Calido - Open Smart Thermostat and Smart Home Controller. Built on a Thingy:91 (nRF9160).

This collection of apps scrapes car images from the Autotrader website in order to create a dataset of car brands for Machine Learning (ML).

Micropython tool for Data Ingest into EdgeImpulse

Detector de moedas de 1 real e 50 centavos utilizando a plataforma Edge Impulse.

Arduino UNO R4 Minima Soccer forecast with Machine Learning (Edge Impulse)

Research on the capabilities of the STM32F429I-DISC1 board to perform Machine Learning tasks

Smart Plastic Separation Car with AI-powered detection, IoT integration, servo-controlled robotic arm, and real-time environmental monitoring.

Submitted for NXP-Hackathon-2021 on electromaker.io

Code example for ModusToolbox that enables any PSoC 6 to run Machine Learning

GStreamer plugin to run AI/ML inference via Edge Impulse machine learning models

A TinyML cassava leaf disease detection system built using Edge Impulse and the Espressif ESP32-CAM microcontroller

This project lets you run Edge Impulse machine learning models from Rust using a safe FFI (Foreign Function Interface) layer over the Edge Impulse C++ SDK

AI driven traffic lights with Texas Instruments AM62A and Edge Impulse

A lightweight, real-time yawn detection system for driver fatigue, built using a custom CNN and FOMO-based mouth detection on the OpenMV Cam RT1062. Fully optimized for embedded deployment with no cloud dependency.

Testing TinyML by recognizing if Arduino 33 Sense is Stationary or in an Up-Down Motion