Posts Tagged ‘CorazonAI’

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

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

FPGA Based Edge AI Gateway with support of AI Frameworks enabling AI Solutions iWave Systems and MakarenaLabs partner to provide comprehensive Edge AI Platforms 

Through a partnership with MakarenaLabs srl, a leader in scientific research in multimedia recognition and feature extractions, iWave Systems is excited to collaborate with MakarenaLabs enabling customers with rugged AI Solutions and edge computing systems. Combining the strong edge computing and FPGA Machine Learning expertise of iWave Systems & MakarenaLabs, through this partnership we aim to deliver an optimized AI platform deploying AI to the edge and