Creating a TinyML Anomaly Detection & Motion Classification project with the IMU MPU2060
Computer Vision Exploration with the help of Edge Impulse and Arduino.
Use an ESP-32 Cam and an Edge Impulse model to take photos of your avian friends visiting your solar-powered bird feeder!
Can we "hear" a difference between pouring hot and cold water? Amazing proof-of-concept by a quick real deployment using Edge Impulse Studio
Using voice recognition with the in-built microphone, Wio Terminal will be able to recognize the go, stop and background noise by TinyML.
TinyML model running Wio Terminal can identify if animal or human is approaching even in the dark and alert campers.
A modified example that can display the captured image and its classification result on a display. Say goodbye to clumsy WiFi connections!
Solar Harvesting LIC Powered vibration monitoring solution makes uses of embedded AI models to classify vibration anomalies for logistics.
SensiML Sensing and Control device to protect farmlands from future insects outbreaks and vector-borne disease due to climate change.
Baking Intelligence into a trivial Air Cooler using Person Sensor by Useful Sensor
This project is a proof of concept to test the feasibility of using tinyML with ultra low cost microscopes to classify microorganisms
An object detection method using MobileNetV2 in Edge Impulse on Nvidia Jetson Nano to detect the pedestrian in blind spot region.
Exploring Computer Vision applications such as Image Classification, Object Detection, and Pose estimation.
Exploring Machine Learning on a giant tiny device, the Seeed XIAO BLE. Sense.
Configuration of ESP32S3 SENSE in Arduino and testing of onboard camera, Mic, wifi and LED. (Hello World! to ESP32S3 Sense)
Precision livestock farming based TinyML device for early detection of pigs respiratory diseases using Edge Impulse.
To fight against plastic pollution for marine life
EdgeAI made simple - Exploring Image Processing (Image Classification) on microcontrollers with Arduino Portenta, Edge Impulse, and OpenMV.
Seeed Studio's Codecraft now gets powered by Edge Impulse leading to the development of next-generation of developing embedded ML projects!
The trained LSTM model will be converted with TFLite-Micro and Edge Impulse Python SDK and deployed on an XIAO ESP32S3.
AI computer vision will detect a gun to trigger a loud siren without human intervention.
A TinyML model using Arduino Portenta and Edge Impulse to predict the anomalous operation in Industrial machineries like Pump, valves & fans
This tinyML project aims to protect farms from pests and it also keeps updating the owner on climate and soil conditions.
Want to build your own TinyML application? This is a detailed approach to getting started with TensorFlow Lite for Microcontrollers!
