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.
Recognize and monitor litter with object detection via this self-driving robot. It also deploys a video stream and a fall detection system.
Face mask detector with Yolov4 running on Nvidia Jetson Nano.
This project is an example of how AI can be used for counting objects in a quick and efficient way using embedded Machine Learning.
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 2.0 flow for Avnet Vitis 2021.2 platforms.
This project walks through how to prep an Ubuntu 18.04 desktop environment and install Vivado, Vitis, & PetaLinux version 2021.
Detecting forest fires with a long-range autonomous airplane equipped with satellite communication.
Using a Tensorflow Lite Micro model this edge device keeps an ear out and vibrates if you are snoring.
Vitis-AI provides a zoo of pre-built models. This project describes how to leverage these models to implement license plate recognition.
Collecting and analyzing data to predict which F1 car will finish the race first.
This tutorial is on how to create custom FPGA firmware on Petalinux 2020.2 for Kria KV260 FPGA board using Vitis flow.
Let's teach Neural Network how to do a job for us.
End-to-end demonstration of 3D object detection in LiDAR point clouds using a deep neural network running on the ULTRA96V2.
Do you want to know remaining reading time? This little TinyML Arduino device was trained to do exactly that.
When Xilinx launched Kria™, they also provided a method for quickly deploying apps. This project takes a look at creating a custom app.
Sudoku-robot is a robot that solves and fills Sudoku grids!
This project shows how to run yolov2tiny on KV260 using the smart camera application provided by Xilinx.
Neural Network Algorithm to detect people wearing face masks and take actions accordingly
This project shows how I automatically capture and classify images of birds visiting my bird feeder.
Scan the leaves of a plant with an Arduino Nano 33 BLE Sense and train a model to detect if it's diseased.
Learn how to easily set up machine learning inference capabilities on the AMD/Xilinx KV260 Vision AI starter kit running Ubuntu desktop
Train a TensorFlow model to recognize certain keywords and control an RGB light strip using an Arduino Nano 33 BLE Sense.
Classify your tomatoes into Grade A, Grade B and Grade C with TensorFlow Lite and Particle Argon.
