Posts Tagged ‘Xilinx’

Introduction

The integration of machine vision capabilities with the KR260 board and the Sony IMX547 Camera presents a powerful solution for image processing applications. This tutorial revisits the deployment process outlined in the official documentation here, providing step-by-step instructions to accelerate your setup.

Installation of Ubuntu on KR260

Begin by installing the official Ubuntu image for KR260 on a new SD card. You will find the image here.

Download the Balena Etcher (recommended; available for Windows, Linux, and macOS). Follow the instructions in the tool and select the downloaded image to flash onto your

MuseBox Webinar

Join us on September 28th at 2 PM CEST for an exciting Avnet Silica webinar, presented with MakarenaLabs! We’re thrilled to take you on a deep-dive journey into the world of MuseBox. Here,  we’ll explore its diverse use cases, enablement options, and outstanding support system.

During this webinar, you’ll have the chance to uncover the remarkable capabilities of MuseBox. Also, you get a comprehensive understanding of the supported platforms, with a special focus on KRIA. Through engaging live demonstrations, we’ll vividly showcase the sheer power of MuseBox in action –

Introduction

Collaborative robotics and facial emotion classification are two related fields that can benefit from each other. Collaborative robotics aims to create robots that can work safely and efficiently with humans in a shared environment. Facial emotion classification aims to analyze human facial expressions and recognize the underlying emotions. By combining these two fields, we can create robots that can not only perform tasks with humans but also understand and respond to their emotions. This can enhance the naturalness and empathy of the human-robot interaction, and improve the performance and satisfaction

Introduction

Artificial intelligence (AI) applications often require high-performance computing resources and specialized hardware platforms. Field-programmable gate arrays (FPGAs) are one of the promising options for accelerating AI applications. However, they can be challenging and time-consuming to program. In this article, we present a novel approach for creating AI pipelines in FPGA using MuseBox and PYNQ.

MuseBox is a real-time machine learning system that uses different AI tasks to process audio and video sources. Meanwhile, PYNQ is an open-source project that makes it easy to program on embedded systems using Python. So, by

Introduction

Are you ready to embark on a nostalgic adventure, where vintage gaming like the NES meets cutting-edge technology?

In this electrifying tutorial, we’ll take you on a journey through time, guiding you step by step as you transform your FPGA board into a portal to the past. Say goodbye to tedious button mashing on emulators and embrace the authentic experience of playing NES games on actual hardware.

But wait, there’s more! We won’t just leave you hanging with a bunch of technical jargon. We’ll provide you with a treasure trove of resources,

Introduction

Get ready for a fascinating journey into the world of gaming nostalgia! In this tutorial, we’ll explore how to bring the beloved GameBoy architecture to life on AMD’s FPGA KR260. We’ll walk you through the process step by step, making it easy for you to embark on this exciting adventure. And the best part? We’re sharing the open-source code on GitHub, so you can join in the fun and experience the magic of retro gaming firsthand!

The GameBoy architecture

The GameBoy architecture, a legendary handheld console, is a marvel of simplicity and

Introduction

Are you tired of your beloved Pacman arcade cabinet collecting dust in the corner? Its components are outdated and impossible to find replacements? Fear not! With the power of FPGA technology and the AMD KR260, you can bring that classic game back to life and play it like it’s 1980 all over again.

How do you port a retro gaming system like Pacman onto an FPGA? First, you gotta understand the hardware. That means breaking down the original cabinet’s components and figuring out how to recreate them in code. And that’s

Introduction

Are you tired of the same old boring music-making methods? Well, get ready to rock your socks off with the latest tech tutorial we’ve got for you!  In this article, we’re going to show you how to use the power of the PYNQ framework on an FPGA to create sick beats using a simple floppy drive.

Yes, you read that right. It’s time to break out the floppy disks and dust off your old collection because we’re about to unleash the potential of this classic tech to create something truly unforgettable.

Introduction

We have seen a lot of projects made with the PYNQ framework. But now? How we can create a real product with those projects? With this article, we will see a simple guideline for transforming a Proof of Concept project made with PYNQ into a real product, using a bare-metal system.

For this tutorial, we will use a Cora Z7 board from Digilent.

What is a bare-metal system?

A bare-metal system on an FPGA refers to the implementation of a hardware or software system directly on the FPGA fabric without the need for

Announcement
The new release of MuseBox (2.0, aka “CLIO”) has a huge amount of machine learning tasks (both audio and video) with the new implementation of a no-code graphic interface. In particular, this graphic interface allows you to compose your machine learning pipeline without any expertise in Vitis, Vivado, and software in general. Just open and use your browser and your imagination!

The new release allows you to execute live the entire machine learning pipeline without any interaction with the backend software. In particular, you don’t need to restart any process on