Introducing Fooderloo: Revolutionizing Sustainability and Affordable Shopping Fooderloo is an innovative mobile application dedicated to combating food waste and promoting sustainable consumption. By seamlessly connecting consumers, businesses, Fooderloo transforms surplus products into valuable opportunities for savings, sustainability, and goodwill. Its unique approach not only reduces food…
Presenting our contribution for the IEEE Communications Society Student Competition along with Nicolas Souli. The ORION system aims to establish an autonomous counter-drone system that employs algorithms for detecting and tracking a rogue drone, in conjunction with wireless interception capabilities to jointly jam the rogue drone while achieving self-positioning…
The purpose of this dissertation was to develop a system for organization and automate the procedures of a private high school training on absences and tests. The work consisted of two parts, a mobile application and an extension of an already existing platform of the School.…
Event & Conference application on Android and importing data using website platform builder. The website was build using php/html/javascript /sql skills and the android application using Android Studio (java). The output of the application was a fully detailed conference application which data had to be imported…
The main purpose of the application is to extract traffic data from vehicles on roads using aerial footage taken from static UAVs. To process the footage, deep neural network detector is used (YOLO) alongside with the OpenCV library in ordered to be executed in python. Furthermore,…
The AIDERS project aims at developing application-specific algorithms and novel mapping platform that will harness the large volume of data that first responders are now able to collect through heterogeneous sensors (including visual, thermal and multispectral cameras, LIDAR, CBRN sensors, etc.) on-board RPAS units, and converting…
The ICARUS project utilizes a drone and develops an autonomous vision-based artificial intelligence toolkit, to detect, track and identify power infrastructure components, and gathers reliable spatial/time data associated to these components in a safe and fast manner.This project was submitted for the My Galileo Drone contest…
For reliable operation, next generation autonomous agents will need enhanced situational perception as well as precise navigation capabilities. The global navigation satellite system (GNSS) signals that are utilized by practically all modern positioning systems cannot satisfy this requirement for heighten autonomy levels and positioning is becoming…