PhD in 10 minutes

A few weeks ago Ilias Alexopoulos presented part of his PhD work on IoT performance Estimation.

Engineers involved in developing IoT either remote or not, have to deal with key parameters like power consumption, computation speed, or resources, depending on the cost function of each project.

The presenter making the introduction

The problem is to estimate the best performance according to the key project parameters of an implementation and more specifically of an algorithm with respect to different hardware. Each hardware can offer different kinds of optimizations so the combinations of each implementation involving algorithm variants and hardware optimization is unmanageable.

The framework flow
Presenting the Framework Flow

The work of this research is to establish a framework that can estimate this individual performance and provide guidance to the designer of the best hardware without the need of implementing the algorithms on any platform.

Presenting Conclusion and Challenges
Conclusion and Challenges

It is a long shot to achieve this goal, but research and progress are about challenges. Challenging methods, tools, or our limits to achieve more.

DEFEA 2023

This year gets exciting as new projects come up, and we meet interesting technology companies. This year we decided to visit DEFEA in Greece, to see the landscape of technology companies involved in the security and defense sectors.

AI Zerocaliber team in DEFEA 2023
AI Zerocaliber Team in DEFEA

It was interesting to see the different technologies demonstrated, but we also had the great pleasure to meet our friends of EM-Tech.

AI Zerocaliber and EM-Tech Selfie!

Overall our visit to DEFEA left us with good impressions along with a nice view of the technology landscape of the sector.

Embedded Online Conference 2022

This year we will present how to create heterogeneous embedded platforms using Coldfire or Kinetis microcontrollers and FPGAs. We will touch on some interesting points related to such implementations.

EOC2022 Compact Heterogenous Computing Platforms
Compact Heterogeneous Computing Platforms

We hope that you will enjoy this talk and the small demonstration of integration between MCUs and FPGAs.

Edge Computing for Maritime IoT @BTS

“Breaking The Surface 2021” event was very successful and interesting. Many scientists of all over thw world presented the latest developments in archeology, marine robotics, sensing and other applications.

We were honored to present our maritime IoT platforms and share our knowledge on embedded system design and hardware acceleration.

BTS Tutorial

We discussed things like power management, showcasing the power management board for the MARI-Sense ASV, hardware acceleration, and versatile heterogeneous platforms.

Ready for the Tutorial with all Hardware
Power Management GUI
Power Management GUI

For more details see the following link.

Tutorial 2 Intro – AI Zerocaliber: Edge Computing for Maritime IoT – Breaking the Surface (fer.hr)

EDGE COMPUTING FOR MARITIME IOT Tutorial on BTS 2021

For anyone attending the multi-disciplinary conference of “Breaking The Surface 2021” event, I will be giving a tutorial on multiple topics on using embedded computing in maritime applications.

Hydrophone Processing System
Hydrophone Processing System

For more details see the following link.

Tutorial 2 Intro – AI Zerocaliber: Edge Computing for Maritime IoT – Breaking the Surface (fer.hr)

EMD2021: Smart-Float

European Maritime Day in Cyprus 2021

In Larnaca, 17-21 June 2021, there was this great event, where we had the opportunity to show our latest developments for the MARI-Sense project in collaboration with CMMI.

On Sunday 21 of June, at Europe Square CMMI and MARI-Sense exhibited various vehicles for maritime applications.

The underwater remote controlled robotic vehicle (ROV) has the capability to provide underwater images or use manipulators to perform delicate actions as required for research or other applications.

EMD2021: CMMI ROV Exhibit
Front view of the CMMI’s Robotic Underwater Vehicle

A smart-boat is also developed named “Kerkouros” from the ancient Cyprus ship with oars. “Kerkouros” is under development with the ultimate goal to be an autonomous surface vehicle; a challenging task for the development team.

EMD2021: Smart-Boat "Kerkouros" Exhibit
Prototype of Autonomous Smart Boat Developed at CMMI

For helping development efforts for the MARI-Sense project another platform was exhibited, the Smart-Float. The Smart Float will be used as a technology evaluation platform, where different sensors will be mounted and tested along with radio links, like WiFi, LoRa, thrusters, maneuverability, or other technologies and embedded systems. This platform will help improve the know-how of the team and will lead to new improved models. The main advantage of this platform is its low-cost and large transport capacity (more than 20Kgr net for payload). The team is already thinking of other potential applications where this platform can be used effectively. AI Zerocaliber Ltd is involved with this platform from the concept phases till now, helping with the hull and system design, and specific embedded components.

EMD2021: Smart-Float
Smart-Float Platform Shown During EMD-2021 Event

For more information on the MARI-Sense project you may check the project’s website.

MARI-Sens Logo

MARISENSE Experiment #1

Last May we conducted the first experiment of the program. Purpose was to create a dataset of underwater sounds and respective surface images, that would be used to develop and test our algorithms. Various kinds of equipment were used, from RIBs, Sailboats up to underwater ROVs and gliders. You can take a taste of the process on how the experiment was conducted and at the same time hear the respective underwater sounds.

Embedded Hour, Episode 02

In May 2020, we presented a compact heterogeneous computing embedded platform.

The platform is based on a coldfire Microcontroller and a Spartan6 LX9 device all put on a two layer board. Simple and effective. We also demonstrated two of the prototype systems live showing the configuration of the FPGA from the microcontroller and then the seamless register mapping into the microcontroller memory space.