A proof-of-concept project to recognize air-written alphabet, using Arduino Nano RP2040 Connect run with Edge Impulse tinyML model.
Easily add English or Chinese voice commands by editing a text file — offline, private, instant.
A TinyML model to predict the Lithium Ion battery's life cycle within shorter time using Edge Impulse.
Computer Vision Exploration with the help of Edge Impulse and Arduino.
Learn why room occupancy detection using environmental sensors and tabular data wins over computer vision.
The AI Guardian for Plants is designed to monitor the soil data in real time
Creating a TinyML Anomaly Detection & Motion Classification project with the IMU MPU2060
In this tutorial，we will show you how to utilize the accelerometer on XIAO BLE Sense combined with Edge Impulse to enable motion recognition
Solar Harvesting LIC Powered vibration monitoring solution makes uses of embedded AI models to classify vibration anomalies for logistics.
Use an ESP-32 Cam and an Edge Impulse model to take photos of your avian friends visiting your solar-powered bird feeder!
Exploring Machine Learning on a giant tiny device, the Seeed XIAO BLE. Sense.
Beyond Beeps and MP3 Clips: Real Voice on MCUs.
Using voice recognition with the in-built microphone, Wio Terminal will be able to recognize the go, stop and background noise by TinyML.
A TinyML wearable for environmental sensing. Developed with the Edge Impulse platform and powered by the Syntiant TinyML board.
Can we "hear" a difference between pouring hot and cold water? Amazing proof-of-concept by a quick real deployment using Edge Impulse Studio
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!
A TinyML model using Arduino Portenta and Edge Impulse to predict the anomalous operation in Industrial machineries like Pump, valves & fans
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
Configuration of ESP32S3 SENSE in Arduino and testing of onboard camera, Mic, wifi and LED. (Hello World! to ESP32S3 Sense)
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.
The trained LSTM model will be converted with TFLite-Micro and Edge Impulse Python SDK and deployed on an XIAO ESP32S3.
