Make an object tracking robot using Arduino and AI-powered vision sensor - HuskyLens.
FPGA-based system that monitors facemask use through artificial intelligence, includes a thermometer and facemask dispenser.
An Nvidia Jetson Nano computer vision project with TensorRT acceleration, to perform counting for manufacturing quality control.
This project demonstrates the Kria SoM's performance benchmarks and how to validate them.
Train and deploy an audio scene classifier with Wio Terminal and Edge Impulse, send mobile notifications with Blynk.
This Balena Fin based Smart Bird Feeder classifies birds by chirps and face using Edge Impulse & sends alerts to your phone and live stream.
This project walks through the basics of creating your own ML model in Edge Impulse & deploying it on the Kria KV260.
The TinyML Wake Word demo on the Raspberry Pi Pico. A less than $10 wake word!
Check out how to repeat a TinyML experiment on building a weather station from the new “TinyML Cookbook” and make the model smaller
Hack an Arduino toy car and turn it into autonomous rover searching for (and chasing) the human faces with Google Vision AIY Kit.
Autonomous robotic dog leverages ROS 2 and Edge Impulse-trained YOLO-Pro model for real-time ball detection and pursuit on the Arduino Uno Q
Start a $3.2 billion company by building your own learning thermostat with the Spark Core.
A modified example that can display the captured image and its classification result on a display. Say goodbye to clumsy WiFi connections!
This demo shows embedded ML voice controlling animation screen display and an interesting toy by XIAO nRF52840 Sense boards.
I was loaned a Radeon Pro W7900 GPU card by AMD to help with my training projects. How cool is that ?
AI-Powered Smart Tracking Camera
We introduce an IVA pipeline to enable the development and prototyping of AI social applications.
A flower that smiles with you.
Objectives of this project include self-driving on track, obstacle detection, and collision avoidance.
You can't beat Mumbai traffic but you can have some fun while in it.
Using Pynq, we can implement an accelerated AI/ML on an FPGA without writing a line of HDL! Let's take a look at how we can this...
A TinyML model using Arduino Portenta and Edge Impulse to predict the anomalous operation in Industrial machineries like Pump, valves & fans
Privacy first robotic companion running edge AI locally. Combines vision, voice & emotion detection, no cloud dependency, 101% privacy.
This project walks through how to build & launch a ROS 2 package with KRS on your host PC and on target hardware.
