Instructions, source code, and misc. resources needed for building a Tiny ML-powered artificial nose.
-
Updated
Jul 5, 2024 - C
Instructions, source code, and misc. resources needed for building a Tiny ML-powered artificial nose.
Live Image Classification on ESP32-CAM and TFT with MobileNet v1 from Edge Impulse (TinyML)
Official Edge Impulse firmware for nRF52840 DK and nRF5340 DK
Official Edge Impulse firmware for Nordic Semiconductor Thingy:53
Run Machine learning on a microcontroller with an accelerometer sensor to classify different moves with the racket - Forehand, Backhand, Serve, and Idle.
Key word/wake word detection with espressif esp32s3
ESP32S3 Wakeword/Keyword Spotting starter project with ready to go ML model
Computer vision with ESP32 on the edge
ROS2 wrapper for Edge Impulse
This is object that uses XIAO ESP32-S3 and OV2640 camera to run object identification model from Edge Impulse.
臺灣科技大學 電機工程系 人工智慧應用產碩專班 邊緣人工智慧實務(EE5354701)
A list of production-ready models for resource-constrained devices.
Edge AI power grid monitor for Mexican residential infrastructure. 3 models (voltage anomaly, energy demand, thermal risk) running on Arduino UNO Q dual-processor (STM32U585 + Qualcomm QRB2210). Real-time relay actuation, WhatsApp alerts, and web dashboard. Built for Qualcomm Sustainable Power Cities @ Talent Land 2026.
Car state detection (normal, accident, idle) for RP2040/Pico board, using TinyML and Edge Impulse
Collect and download images from Esp-32 camera to PC
An ESP32-CAM based object detection project using Edge Impulse, featuring real-time inference and live video streaming via a built-in web server.
A Node-RED node for running an impulse created by the Edge Impulse development platform.
An ESP32-CAM based visual anomaly detection project using Edge Impulse, featuring real-time inference and live video streaming via a built-in web server.
Car honk detector using Edge Impulse
Add a description, image, and links to the edge-impulse topic page so that developers can more easily learn about it.
To associate your repository with the edge-impulse topic, visit your repo's landing page and select "manage topics."