Posts Tagged ‘Pynq’

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

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

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

Reading GPS Coordinates through Pynq-z2

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

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

Introduction​

The topic of this article we are going to talk about the new baby born in MakarenaLabs, Pablo, a custom-made robot which is able to recognize and detect people and objects in the surrounding environment.

In short, the aim of Pablo is to showcase how to construct a robotic system from scratch by using MakarenaLabs MuseBox, IP libraries and AMD’s (former Xilinx) FPGAs.

In conclusion of the article we will

Introduction

The “double tap” is a gesture that today is a crucial part of many of our daily actions.

The goal of this article is to implement a double tap feature that is easy to integrate, intuitive and adaptible.

So, the first step towards this goal is to make sure we have all the materials to develop and test the algorithm. We will use the X-NUCLEO-IKS01A2 board, that is easy to use and install on PYNQ.

Vivado design

The next step is to create an appropriate design for communication with the X-NUCLEO-IKS01A2; in fact you can

Introduction

FPGA programming is not only based on a hardware design, you also can also create software that runs on different soft processors on it, called “MicroBlaze”. This kind of design is useful in specific applications, such as protocol implementation, system orchestration, and soft-realtime systems.

The aim of this article is to reproduce a little architecture that supports this soft processor, controlling a simple peripheral such as a GPIO, using the PYNQ framework for instantiation and controlling.

What is a MicroBlaze

The MicroBlaze IP describes a soft microprocessor, that is a microprocessor core completely

Introduction

This article shows how to create a PYNQ-DPU application on CorazonAI with the acceleration of the whole AI pipeline flow for video analytics . Specifically this article is a follow-up of the previous article on CorazonAI which can be found here: https://www.makarenalabs.com/pynq-on-corazon-ai-ai-applications-for-all/

AI pipeline and PYNQ

PYNQ is a framework which allows us to use python bindings on the FPGA.

However, having the bindings for python, doesn’t necessarily just mean the possibility of working very easily with our custom IP cores.

In fact, python is a gold standard programming language in computer science and