Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'
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Updated
Oct 18, 2022 - Jupyter Notebook
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.
ROS2 wrapper for Edge Impulse
GStreamer plugin to run AI/ML inference via Edge Impulse machine learning models
Calido - Open Smart Thermostat and Smart Home Controller. Built on a Thingy:91 (nRF9160).
This project implements a wearable device that translates sign language gestures into text using flex sensors, an IMU, and edge ML inference.
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
This collection of apps scrapes car images from the Autotrader website in order to create a dataset of car brands for Machine Learning (ML).
Detector de moedas de 1 real e 50 centavos utilizando a plataforma Edge Impulse.
Submitted for NXP-Hackathon-2021 on electromaker.io
Research on the capabilities of the STM32F429I-DISC1 board to perform Machine Learning tasks
Micropython tool for Data Ingest into EdgeImpulse
A TinyML cassava leaf disease detection system built using Edge Impulse and the Espressif ESP32-CAM microcontroller
Arduino UNO R4 Minima Soccer forecast with Machine Learning (Edge Impulse)
Smart Plastic Separation Car with AI-powered detection, IoT integration, servo-controlled robotic arm, and real-time environmental monitoring.
Code example for ModusToolbox that enables any PSoC 6 to run Machine Learning
Edge-AI powered three-phase induction motor monitoring system featuring real-time electrical/vibration sensing, TinyML fault detection, predictive maintenance (EMA trend analysis), TFT UI, and a WiFi web dashboard. Built on ESP32-S3 with full open-source firmware and model pipeline.
AI driven traffic lights with Texas Instruments AM62A and Edge Impulse
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