Posts Tagged ‘Kria SOM’

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

Ahoy, fellow ocean enthusiasts and nature aficionados! Italy’s picturesque coastlines and vibrant marine ecosystems have long been a source of wonder and beauty. However, there’s a new twist in the aquatic tale – the invasion of the notorious blue crab (Callinectes sapidus). But fear not, for in this age of technological marvels, an unexpected hero has emerged to safeguard the Italian shores: MuseBox and its ingenious AI-powered animal detection capabilities.

The Blue Crab invasion

An ecological challenge brews beneath the surface. The blue crab has found its way into Italian waters, unsettling

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

Main Characteristics

This is the second article of a series, which aim is a feasibility study for a modular system composed of the main control board based on Xilinx ZYNQ Ultrascale+ and servo satellite motor drives based on Xilinx ZYNQ-7000. The objective of the system is to control a robot composed of multiple joints. The article’s target is an automation of a prostate biopsy to assist doctors during medical procedures. The biopsy is executed by driving one mechanical positioner composed of 6 Permanent Magnet Synchronous Motors (PMSM) motors and multiple joints

INTRODUCTION

This is the first article of a series, about the study of a system to control a medical robot for biopsy automation composed of multiple joints. The main control board runs on ZYNQ Ultrascale+ whereas the servo satellite motor drives run on ZYNQ-7000.

Specifically, the satellite boards control a Permanent Magnet Synchronous Motor (PMSM) each. Specifically, each motor controls the steering of the needle.

Figure 1 shows its rough principle.

Although the picture shows 6 motors, the system should be able to scale up to 24.

The main characteristics of the modular system are:

Firstly,