Posts Tagged ‘Edge computing’

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

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

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 Its components are outdated and impossible to find replacements?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

This is the fourth article of a series, which aim is a feasibility study for a modular system for biopsy. In this article, we will focus on the common transformations for motor control: Clark and Park. This system is composed of the main control board based on Xilinx ZYNQ Ultrascale+ and servo satellite motor drives based on Xilinx ZYNQ-7000. Accordingly, the objective of the system is to control a robot composed of multiple joints.

So, you can execute the biopsy by driving one mechanical positioner composed of 6 PMSM motors and

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,

Introduction

This article will talk about the Ultrasound Ultrafast Imaging modality on the new AMD-Xilinx Versal chip. The work described here is an implementation by MakarenaLabs for AMD-Xilinx and is currently in early access for customers.

To begin with, we will briefly introduce the UltraFast methodology and what does it mean.

Secondly we are going to talk about Versal and how to create and partition design on this new technology.

Lastly we are going to talk about the Ultrasound Libraries on the new Versal chip and how to exploit them.

UltraFast Imaging

UltraFast Imaging is a

Introduction

In this tutorial, we will show how to create a custom hardware design with Xilinx’s DPU IP provided in the Vitis AI toolchain. Specifically, you can use this approach with any custom design which is Vivado compatible, and you can extend it to infer AI models.

What is the DPU IP

The Xilinx® Deep Learning Processor Unit (DPU) is a programmable engine dedicated for convolutional neural network. The unit contains register configure module, data controller module, and convolution computing module. There is a specialized instruction set for DPU, which enables DPU to