The World's Easiest GPT-like Voice Assistant uses an open-source LLM to respond to verbal requests, and it runs 100% locally on a RasPi 4.
Connect your Raspberry Pi and the Pi Camera to MATLAB to run facial recognition.
This project is a Getting Started Guide to controlling a robot with hand signs that was presented in our Webinar series for ZUBoard.
Via Nano 33 BLE, collate local weather data, build and train a TensorFlow neural network model, and run the model to predict air quality.
This project is a proof of concept to test the feasibility of using tinyML with ultra low cost microscopes to classify microorganisms
Windows & Arduino Application for Monitoring MPH and Vibration of Jet Engine using Reed Sensor, SoftPWM, and Predictive Analytics.
This tutorial shows about "how to convert the YoloV3 Tiny" of Darknet into Caffe Framework and then implement with Xilinx DNNDK and Ultra96.
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.
Train a custom machine learning model to determine the types of birds that visit a bird feeder.
Vectron AI interfaces with the Vectron 64 computer (6502 CPU @ 1MHz, 32KB RAM, 32KB ROM) to provide gesture detecting AI.
Give yourself superpowers to control blinds with a wave of your hand!
Exploring Computer Vision applications such as Image Classification, Object Detection, and Pose estimation.
An object detection method using MobileNetV2 in Edge Impulse on Nvidia Jetson Nano to detect the pedestrian in blind spot region.
This project describes how to find a compute intensive task in your application by profiling it and try to accelerate it on FPGA.
Homework, or a homework assignment, is a set of tasks assigned to students by their teachers to be completed outside the class.
Exploring Machine Learning on a giant tiny device, the Seeed XIAO BLE. Sense.
Image classifier to identify elephant from other objects. To make sure that they are not moving out of the safe zone.
Collect irrigation level data by thermal imaging, build and train a neural network model, and run the model directly on Wio Terminal.
This project walks through the basics of creating your own ML model in Edge Impulse & deploying it on the Kria KV260.
Via OpenCV, recognize villagers to display their birthdays, loves, likes, and hates while playing Stardew Valley on LattePanda Alpha.
Detect when the poultry feeder needs to be refilled and track unhatched eggs in the coop w/ object detection to get informed via WhatsApp.
Robot that drives around autonomously in greenhouse environment and identifies diseases.
Realtime lighting control, live temperature, lighting and electric cost monitoring, real time energy cost calculation and anomaly detection.
Collate forearm muscle soreness data on the SD card, build and train a neural network model, and run the model directly on Wio Terminal.
