Combine the power of autonomous flight and computer vision in a UAV that can detect people in search and rescue operations.
Collate spectral color data of varying fruits and vegetables and interpret this data set with a neural network to predict ripening stages.
Use Wio Terminal and Tensorflow Lite for Microcontrollers to predict the weather and precipitation for next 24 hours.
Learn how to turn audio into text with the free, open-source spchcat tool on a Raspberry Pi.
Creating a faster, smaller, and more accurate magic wand than the famous experiment provided in Arduino Sketch, given the same hardware.
They took our jobs, they will take our fun!
This tutorial is on how to create custom FPGA firmware on Petalinux 2020.2 for Kria KV260 FPGA board using Vitis flow.
In this tutorial we show how to build a cough detection system for the Arduino Nano BLE Sense using TinyML and Edge Impulse.
Allows the reading impaired to hear both printed and handwritten text by converting recognized sentences into synthesized speech.
This smart dog collar offers an immediate reward marker to reinforce correctly obeying the trainer's commands.
A real-time sign language letter detector using a custom ML model processed directly on a Sony IMX500 AI camera with Raspberry Pi.
Learn how to deploy the best object detection algorithm to Jetson Nano and start building powerful edge computing applications.
This tutorial is on Quantizing and Compiling the Ultralytics Yolov5 (Pytorch) with Vitis AI 3.0 and targeted for Kria KV260 FPGA Board.
Learn how to create a custom Kria Vision AI Starter Kit (KV260) ML application with PL overlay.
Train your machine learning models in Google Colab and easily optimize them for hardware accelerated inference!
End-to-end demonstration of 3D object detection in LiDAR point clouds using a deep neural network running on the ULTRA96V2.
Learn how to use machine learning on a Raspberry Pi in a remote environment (complete with cellular connectivity and solar power!).
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 2.0 flow for Avnet Vitis 2021.2 platforms.
While it was just a proof of concept demonstration, it really shows TinyML is up to something big.
This is my homemade CNC machine using Arduino, Easydrivers and old CD-Rom(s). I use Grbl and G-Code sender to execute the G-Code.
The project focuses on a real-time robust human detection and tracking system for video surveillance that can be used in varying situations.
The device which notifies via email or SMS for any sudden change in temperature or if it goes out of the defined threshold.
This project is an example of how AI can be used for counting objects in a quick and efficient way using embedded Machine Learning.
Neural Network Algorithm to detect people wearing face masks and take actions accordingly
