Posts Tagged ‘System-on-a-chip (SoCs)’

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

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

This is the third article of a series. which aim is a feasibility study for a modular system for biopsy. 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, the biopsy is executed by driving one mechanical positioner composed of 6 Permanent Magnet Synchronous Motors (PMSM) motors and multiple joints, that are coordinated to position the biopsy needle on the

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

Welcome to part 2 of the previous article about PWM signals and PYNQ! In this article, we will show what is a servo motor and how to control a servo motor with the previous design of the PWM on the PYNQ framework, with a simple “recipe”. If you have missed the previous article, you can find it here!

So, let’s start!

What is a Servo Motor

A Servo Motor is a rotary actuator or linear actuator that allows for precise control of angular or linear position, velocity, and acceleration. Servomotors are used in applications such as

There are two methods for using devices on FPGA for PYNQ: the integrated microprocessor (PS side) and the programmable logic (PL side). In order to maximize the use of the FPGA, this article shows how you can use the programmable logic for common devices such as SPI, I2C and UART.

We have used this flow also for SMART-IO Project. If you have lost the article about SMART-IO, follow this link!

You can find every design in this article as Github project in the MakarenaLabs Github company.

Design with Vivado for PYNQ

In order to create

IoT is an acronym for the Internet of Things, it represents a new working model based on connected devices which is used in modern companies to create new revolutionary applications.

The term [1] was coined to Kevin Ashton nowadays co-founder of Auto-ID Labs who used it for the first time in 1999 in a proposal of a pioneering project to monitor the performance and yields of the assembly lines of Procter & Gamble (P&G) through the sharing of RFID devices on the network.

Figura 1. IoT keywords

An indicator of being a trending

Pynq is a famous framework that allows programmers to directly work with FPGA using Python language, which is very intuitive, so let’s take a look at it.

When we want to accelerate a specific software portion, it is generally difficult to interface to it correctly, because you have to synchronize the CPU (generally referred to as Process System, PS) to the FPGA part (generally referred to as Programmable Logic, PL). In modern SoCs, we use the “axi” interface to make the two parts communicate, but its Hardware Description Language (HDL) implementation

Introduction

DNNDK allows the productivity in deploying AI inference on Xilinx platforms. In fact, it provides a solution for deep neural network applications. So, in this article we will present the DNNDK tool for the FPGA integration of Deep Neural Network and Convolutional Neural Network.

Artificial Neural Networks

Artificial neural networks (ANN) or connectionist systems are computing systems similar to biological neural networks likes animal brains. In particular, such systems “learn” to perform tasks by considering examples, generally without being programmed with task-specific rules. At this point, you can get it to learn things, recognize