AUV Creation for Fisheries - Fish Quality Control Project

This research has been co‐financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE (project code: T2EDK- 02504).

Period: July 2020 – July 2023	Budget: 922.625,00€
Principal Investigator: Ergina Kavallieratou

Project Overview

The project concerns the construction of a submarine vehicle (ROV) for the inspection and repair of fish farms in Greece using Computational Vision, in order to identify irregularities and damage.

Monitoring & Research

Collection of measurements for research and improvement of the growth rate of the products.

Quality Control

Evaluation of nutritional value and fish quality through specialized indicators.

Publications

M. Vasileiou, N. Manos, N. Vasilopoulos, A. Douma, and E. Kavallieratou, Kalypso Autonomous Underwater Vehicle: A 3D-printed Underwater vehicle for inspection at Fisheries, Journal of Mechanisms and Robotics, ASME, 2024 (May 2, 2023).

DOI: 10.1115/1.4062355

Vasileiou, M., Manos, N., & Kavallieratou, E., IURA: An Inexpensive Underwater Robotic Arm for Kalypso ROV. In 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (pp. 1-6). IEEE (2022, November).

DOI: 10.1109/ICECCME55909.2022.9988259

M. Vasileiou, N. Manos, and E. Kavallieratou, MURA: A Multipurpose Underwater Robotic Arm mounted on Kalypso UV in Aquaculture, Springer, Marine Systems & Ocean Technology, 2023.

DOI: 10.1007/s40868-023-00129-2

M. Rousouliotis, M. Vasileiou, N. Manos, and E. Kavallieratou, Employing an underwater vehicle in education through a learning programming platform to boost motivation and creativity, Computer Applications in Engineering Education, Wiley, 2023.

DOI: 10.1002/cae.22693

E. Kavallieratou, K. Paraskevas and M. Vasileiou, Building Kalypso: The Software, 2023 7th International Conference on Robotics and Automation Sciences (ICRAS), IEEE, Wuhan, China, 2023, pp. 37-42.

DOI: 10.1109/ICRAS57898.2023.10221581

N. Manos, M. Vasileiou, and E. Kavallieratou, Building Kalypso: The Construction, 5th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2023), Tenerife (Canary Islands), IFSA, Spain, 7-9 June, pp. 195–198, 2023.

N. Vasilopoulos, E. Kavallieratou, and E. Stamatatos, Building Kalypso: The navigation system, 5th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2023), Tenerife (Canary Islands), IFSA, Spain, 7-9 June, 2023.

K. Paraskevas and E. Kavallieratou, Detecting Holes in Fish Farming nets: A Two–Method approach, 2023 International Conference on Control, Automation and Diagnosis (ICCAD), IEEE, Rome, Italy, 2023.

DOI: 10.1109/ICCAD57653.2023.10152452

M. Vasileiou, N. Manos, and E. Kavallieratou, An Underwater Vehicle for Aquaculture Inspection, 7th International Conference on Control, Automation and Diagnosis (ICCAD’23), IEEE, Rome, Italy, 2023.

DOI: 10.1109/ICCAD57653.2023.10152412

M. Vasileiou, N. Manos, and E. Kavallieratou, IURA: An Inexpensive Underwater Robotic Arm for Kalypso ROV, 2022 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp.832-837, IEEE, Male, Maldives, 2022.

DOI: 10.1109/ICECCME55909.2022.9988259

K. Paraskevas and E. Kavallieratou, Detecting Holes in Fishery Nets using an ROV, 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) 2022, IEEE, Male, Maldives, pp. 1282-1286.

DOI: 10.1109/ICECCME55909.2022.9988724

M. Vasileiou, N. Manos, and E. Kavallieratou, A Low-Cost 3D Printed Mini Underwater Vehicle: Design and Fabrication, 2021 IEEE 20th International Conference on Advanced Robotics (ICAR), IEEE, Lubiana, Slovenia, pp.390-395, 2021.

DOI: 10.1109/ICAR53236.2021.9659412

Creation of a Multimodal Biometric Password by using Steganography

New Researchers

Duration Sep. 19 – Nov. 20

Budget 37.000,00€

Recent device implementations require biometric features to unlock devices to ensure greater security. Such systems mainly use computer vision algorithms to analyze images and identify users.

Recent research has shown that a biometric identification system can be cheated using fake biometric features.

For these reasons and to simplify user identification, we suggest creating a multimodal biometric code. This code will be generated by combining the user’s biometric features with a sealing process, making it unique to each individual. We will explore various feature combinations and experimentally demonstrate their safety to determine the most effective approach.

Publications

K. Karampidis, M. Rousouliotis, E. Linardos, and E. Kavallieratou,
A comprehensive survey of fingerprint presentation attack detection,
Journal of Surveillance, Security and Safety, 2021.

K. Karampidis, E. Linardos, and E. Kavallieratou,
StegoPass – Utilization of Steganography to Produce a Novel Unbreakable Biometric Based Password Authentication Scheme,
Computational Intelligence in Security for Information Systems Conference, 2021.

K. Karampidis, E. Kavallieratou, and G. Papadourakis,
A dilated convolutional neural network as feature extractor – A hybrid classification scheme,
Pattern Recognition and Image Analysis, Vol. 30, No. 3, pp. 342–358, Springer, 2020.

K. Karampidis, N. Vasilopoulos, C. Cuevas, C. R. del-Blanco, E. Kavallieratou, and N. García,
Overview of the ImageCLEFsecurity 2019: File Forgery Detection Tasks,
Conference and Labs of the Evaluation Forum, 2019.

Experimental Analysis of Educational Data

Project with ATHENA Research Center (Greece)

Timeline May 2018 – June 2019

Budget 25.000,00€

As specified in the SlideWiki Grant Agreement, the call for tender is addressed to organizations and institutions and is managed by a consortium of leading international partners:

Leibniz University of Hannover
The Open University (UK)
ATHENA Research Center
Institute for Applied Informatics

The selected bids serve to assess SlideWiki‘s effectiveness and its educational impact, ensuring the platform delivers on its goals through rigorous testing and real-world application.

Document Image Layout Analysis

Project with MEDIA OBSERVER (Jordan)

Timeline June 2017 – June 2019

Budget 15.000,00€

Development of Page Layout Analysis Application

The project involves the development of a Windows desktop application for advanced document processing. The system architecture consists of a Graphical User Interface (GUI) and a specialized Dynamic Link Library (DLL).

Technical Workflow:

Ingestion: Importing high-quality document images (newspapers, journals, magazines).
Segmentation: DLL-driven analysis to segment pages into non-overlapping blocks.
Classification: Categorization of blocks into Text or Graphics (logos, photos, diagrams).
Output: Generation of XML files containing bounding polygon coordinates and block classes.

Development utilizes real-world image samples provided by the client for system training and performance evaluation. The final accuracy is optimized based on the size and variability of the dataset provided.

N. Vasilopoulos, Yazan Wasfi, E. Kavallieratou, Automatic Text Extraction from Arabic Newspapers, International Conference Image Analysis and Recognition, pp.505-510, 2018

SlideWiki: Open Course Ware Platform

Funding: European Union’s Horizon 2020 research and innovation program (17 Partners)

It is an open online system for creating Open Course Ware material (open source material). That is, it provides educational material online, multilingual, open content and evolving on the basis of cooperation and voluntary contribution of the members of the platform.

SlideWiki aims to cultivate knowledge communities around the world by making content available to a global audience.

Project Goals

Developing, testing, and evaluating the SlideWiki platform with 17 international partners.
Utilizing interactive and open tools to empower collaborative learning.
Improving the efficiency of creating rich, licensed educational materials for everyone.