This project aims to develop an effective number plate detection model through the use of YOLOv4, and then to implement
Category: Deep Learning
Drone-based face-mask-detection system
Since the outbreak of the Covid-19 pandemic, Malta was among many other countries around the world affected by the disease.
Autonomous drone delivery
This project aims to explore and develop an autonomous drone-delivery system. This system was implemented within a simulated environment called
Music recommendation system
Traditional music-recommendation techniques are based on the concept of collaborative filtering (CF) which leverages the listening patterns of many users.
Detection of stairways from aerial imagery
Object detection is a prominent and well-researched topic in the field of computer vision. This study seeks to contribute to
Saliency-directed product placement
Product placement or embedded marketing involves the process of finding strategic locations for particular objects within a scene, in such
Procedural generation of sound files from small sound samples
Sound design is an expensive and time-consuming element in game and film design. This final-year project seeks to simplify the
Automatic user profiling for intelligent tourist-trip personalisation
Travelling for leisure is very popular, as indicated by an estimated 1.4 billion tourist arrivals globally in 2019, according to
Driving-behaviour monitor
In 2019, the EU registered just under 23,000 vehicle-related fatalities, with Malta losing 16 individuals to traffic accidents in that