Category Archive for : ‘FPGA’

Introduction

The Corazon-AI board from iWave is very interesting: it has everything you need for an embedded vision application. In the AI world, the time-to-market parameter is very important for a winning application; also currently there is fierce competition, also against the real competitor of the FPGA, the GPU. So we choose to integrate on the Corazon-AI the best ally: the PYNQ framework. PYNQ gives to you the right instruments to create a product-ready application, Python based. You will find a simple tutorial for building the PYNQ framework for the Corazon-AI

Introduction

As we have seen in the last article it’s possible to create and compile a hybrid application on the FPGA system and Kria SOM and use it as a common web application.

At the end of the article there is an incipit about a videogame on FPGA. As weird as that may sound, but we created the first videogame from MakarenaLabs on Kria SOM.

It’s called Krio:“the virtual assistant of MuseBox”.

We have a special board with a high processing power and a little partition dedicated to rendering. It allows you to create

Introduction

The time to market in the business is very important: you need to release a product or a service in the shortest possible time. With the new technology of the FPGA, based on MPSoC for edge applications, it is possible to create and compile a hybrid application on the FPGA system and use it as a common web application.

The best application of Hybrid technology is on HMI solutions, because you can create an HMI based on common web technologies (HTML, CSS, Javascript, etc) and port it on different platform, with

Introduction

In recent days the creation of various web-based application with AI implied the choice of using a cloud architecture This structure can be achieved by creating a REST-API like architecture. The generic structure of this process is the following:

There are sensors (i.e. a camera) which create information;
Secondly cloud receives the information from the collector;
Then cloud performs the AI tasks and return results;
Finally sender uses the results of the inference for its purposes.

However, previous proposed web-based application system has three drawbacks:

First, it needs an high speed internet connection (with its highly

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

Introduction

In this article we will introduce the reader to the new Xilinx KRIA SOM. So, we will now detail how to take advantage of KRIA SOM in Edge AI application.

Xilinx made a big step towards the Software Engineers with its new Vitis Environment. The new KRIA SOM is another step towards also for ML engineers. KRIA SOM ahs an already built Platform and Image, such that the Engineer just needs to adjust its AI application.

Now, we are going to detail the characteristics of KRIA SOM and what are its features.

KRIA

Introduction

This article introduce a possible architectural design for path planning for Autonomous Guided Vehicles (AGV).
The article proposes a set of functional blocks and their interaction to ensure Real-Time path planning on a Xilinx KRIA System On Module and Xilinx ZCU104.
The article is divided in four main sections:

Modelling of the car-like system
Setup of the system
Trajectory Planning
Proposed Architectural Design

Modelling of the car-like system

The modelization of the car-like is an interesting topic in Analytical Mechanics and Robotics, due the system being underactuated.
A mechanical system is said to be underactuated if its configurations are

Abstract

This article explains how to engineer an IoT on Edge solution, a multisensor scenario with a wide range of communication protocols. So, the solution proposed, called SMART-IO, is about an implementation of the complete stack to satisfy hardware and software requirements. Then, the engineering samples proposed is a unique System On Module (SOM) or MultiProcessor System On Chip (MPSoC) solution. They are based on Xilinx Zynq family, which allows to manage a high data throughput and low latency when it comes to data processing.

Statement of the problem

The evolution of IoT to

Introduction

In this article I am going to explain the concept of predictive maintenance, and why it should be used in any actual application which suffers from time deterioration.

The example application we will focus on is the status report of an electric drive, used in modern applications such as autonomous vehicles or industrial robotics.

The aim of the predictive maintenance is to predict ahead of time eventual faults of the system based on the current status.

We now briefly introduce electrical drives and motor control and then use them to understand how to

Introduction

This article is aimed to present in a comprehensible way the new Versal ACAP device developed by Xilinx Inc.

Let’s start from the signature, what does ACAP mean? ACAP stands for Adaptive Computing Acceleration Platform, which enlightens the actual goal achieved by Xilinx with this new generation of platform, or rather to create a fully software programmable platform.

The new Versal generation, in fact, with the support of the new Vitis IDE, allows every type of programmer, from Data Scientists to Hardware Engineers, to deploy their applications.

The new Versal Architecture is based