This IMU-equipped pen is trained to recognize handwritten numbers
Run inferences using TensorFlow Lite for Microcontrollers on a Commodore 64.
Tutorial on Quantizing Yolov3 Pytorch, Compiling it and running inference on Kria KV260 or MPSoC Board with Vitis AI 3.0.
This project walks through installing Ubuntu 20.04.3 Desktop on the Kria KV260 Vision AI Starter Kit and using Edge Impulse with it.
You can use ML tools from AWS and connect them to a Raspberry Pi to ID birds at your bird feeder.
An engaging project that deploys the smallest DeepSeek model on the AMD Zynq™ UltraScale+™ MPSoC Processing System.
Via Nano 33 BLE, collate local weather data, build and train a TensorFlow neural network model, and run the model to predict air quality.
In the previous 2 part tutorial we built a model that plays the card game Dobble. Now we'll be deploying it on the Ultra96-V2.
Exploring Machine Learning on a giant tiny device, the Seeed XIAO BLE. Sense.
Usage of Deep Learning with Intel's OpenVino to create smart pest detection for plants.
Running a simple ANN on a FPGA for MNIST with more than 200'000 fps. Using the Kria KV260 FPGA, HLS and Pynq
A prototype to minimize the number of staffs having to interact w/ people to notify them wearing masks live streaming while operating.
An automatic suspension adjustment on a bicycle that able to understand the character of the terrain and the activities of the rider.
This project is a Getting Started Guide to controlling a robot with hand signs that was presented in our Webinar series for ZUBoard.
„Alexa, who is at the door?“ - A face recognizing Arduino camera using AWS Rekognition for my grandmother
Push the arcade button to ring "the doorbell" and take a photo -then review on Google Cloud. Adding Vision enables powerful prototyping!
Combine real-time audio, AI/ML, DSP, and Wi-Fi connectivity technologies together to get notified when your doorbell rings while you're away
Using voice recognition with the in-built microphone, Wio Terminal will be able to recognize the go, stop and background noise by TinyML.
This project demonstrates how to prep the Linux image for the Kria to be able to install Edge Impulse for Linux and connect to EI Studio.
A TinyML wearable for environmental sensing. Developed with the Edge Impulse platform and powered by the Syntiant TinyML board.
Mask are crucial to minimize the chance of being infected or transmitting the virus, It is important to detect people who doesn't use it.
This project shows a small demonstration of automatic pet feeding using ultrasonic sensors and pet recognition AI.
Using object detection to identify and scare away predators, as well as to notify us of their presence with a literal siren.
Learn how to play Chrome's dino game physically using Edge Impulse and Seeed Studio Wio Terminal.
