GStreamer is a popular framework for implementing video pipelines in Linux. This project shows how to create a custom AI plugin.
Xilinx just announced Kria™, their newest product portfolio. This project takes a sneak peek at the adaptive and production ready SOM.
A voice-enabled machine which reads book and replies to the questions.
This in-depth article is what you should go first to be able to work with Industry-Standard FPGA HDMI designs. Don't Miss it!
A pan/tilt servo device helping a camera to automatically track color objects using vision.
Facial recognition and identification on a Raspberry Pi, connected to the Internet of Things using the IoT JumpWay MQTT Library.
Combine the power of autonomous flight and computer vision in a UAV that can detect people in search and rescue operations.
This tutorial is on how to create custom FPGA firmware on Petalinux 2020.2 for Kria KV260 FPGA board using Vitis flow.
This project walks through the out-of-the-box capabilities of the Kria K260 SoM development kit.
Allows the reading impaired to hear both printed and handwritten text by converting recognized sentences into synthesized speech.
An efficient module that comprises of face recognition using OpenCV to manage the attendance records of employees or students.
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.
Train your machine learning models in Google Colab and easily optimize them for hardware accelerated inference!
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 2.0 flow for Avnet Vitis 2021.2 platforms.
The system is designed to detect unauthorized entry (face masks), that are essential to protect ourselves and to avoid spreading COVID-19.
The project focuses on a real-time robust human detection and tracking system for video surveillance that can be used in varying situations.
If you think the second robot in the picture doesn't look stable enough, you''ll be surprised.
This project is an example of how AI can be used for counting objects in a quick and efficient way using embedded Machine Learning.
Face mask detector with Yolov4 running on Nvidia Jetson Nano.
Self-driving rover using computer vision and deep learning to identify and clean up small pieces of trash.
Vitis-AI provides a zoo of pre-built models. This project describes how to leverage these models to implement license plate recognition.
Remove negligently discarded cigarette butts, quench burning debris, and get informed of the incident location via MKR GSM 1400 over SMS.
Perform facial recognition on a doorbell camera and announce who is home over text-to-speech. All data capture and processing is local.
