our services

Software consultancy

Software design, development, analysis

DSP and Machine Learning

Digital Signal Processing and Multimedia software, applied Machine Learning consultancy

Hardware Acceleration

Hardware acceleration with Xilinx FPGA hardware and tools, also Embedded system design

Teaching

Teaching courses about Digital Signal Processing, Machine Learning, Artificial Intelligence and Web based cloud design.

our PRODUCTS

MRadio

Audio stream analyzer all over Italy. It uses Mooseka service for audio tracks recognition.

Mooseka

Audio analysis system based on cloud which generates musical report and extracts high level features.

MuseBox

FPGA Machine Learning based system for real-time AV Broadcasting applications

Our selling points

Research

Bringing technological innovation on signal recognition. Doing scientific researches regarding multimedia recognition and feature extractions

Development

Realizing multimedial recognition systems completely automized, also accelerated system on FPGA

Focus

Following the customer step by step for system integration

business-camera-coffee

Public Relator & Commercial Director

Chief Executive Officer &  Chief Technical Officer

Frontend developer & Web designer

Backend developer

Backend developer & Database Maintainer

Technological consultant

Graphic designer & Frontend developer

Partner Università degli Studi di Verona

SW engineer, mathematical modelist for physical simulation

Artificial Intelligence Consultant

 IT developer, backend developer,
system engineer and cloud system developer

CMS Senior developer, System Engineer, Software Engineer

Monitored Streams
Classified Media
Code Lines
Cups of Coffee

our articles

CorazonAI
FPGA

Partnership between iWave and MakarenaLabs

FPGA Based EdgeAI Gateway with support of AI Frameworks enabling AI Solutions iWave Systems and MakarenaLabs partner to provide comprehensive EdgeAI Platforms  Through a collaboration 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

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Songs so far 2020 a billboard
DSP

An HMM based method for song segmentation in a contiguous playlist

Introduction For artists, one of the most important problems is to know when their music is reproduced, in order to get royalties from it.  This article presents a method, which uses Hidden Markov Models (HMM), for understanding by how many songs a specific audio stream is composed of. In Machine Learning we call this particular

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Reinforcement Learning Robot
Digital Twin

A discussion of Learning Algorithms for Robotic application

1 – Introduction Generally we are used to see articles or demos on deep/machine learning methods just on video applications. In this article we want review and apply the current AI into future trends for robotics. Let say that there is not a general definition for AI, but the one we selected is that a

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our abilities

Cloud Services
90%
Deep Neural Network
80%
Digital Signal Processing
95%
Programming
99%
FPGA Acceleration
90%

our technologies

Xilinx VERSAL™
Xilinx ALVEO™
Xilinx PYNQ™
Xilinx ZYNQ UltraScale+
Xilinx VITIS™
Xilinx VIVADO™
Xilinx SDAccel™
VIVADO HLS™
Python
NodeJS
WordPress
Amazon AWS
Google Cloud Platform
Cassandra DB
MariaDB
Librosa
Ansible
Bootstrap
Electron
Ionic

our partners

Xilinx Inc. – Acceleration Program

Azure Microsoft for startup

iWave – Embedding Intelligence

Università degli Studi di Verona

Athena s.r.l. Rational Seed

HDEMY Group

Nuova Accademia del Design

Latlantide

ZeroMoneta Records

Vittek Records

Telegraph Road Studio

Shadows Light