This graduation report investigates the creation of an artificial intelligence-based tool for producing HTML Bootstrap code from images and codes description text provided by the user. The goal of this project is to automate the conversion of images and code description text into accurate HTML Bootstrap …

Aangezien de huidige flipdeksels voor de Celebrations verpakkingen van Vetipak niet nauwkeurig genoeg gevouwen zijn en de hoeken tot 7 mm uiteenlopen, dient er onderzocht te worden wat het voor Vetipak betekend om de deksels zelf te gaan vouwen en lijmen. De hoofdoorzaak van dit afstudeeronderzoek is …

Google wants to “help computers ‘see’ our world”, and one of their ways of battling how current AI and machine learning systems perpetuate biases is to introduce a more inclusive scale of skin tone, the ‘Monk Skin Tone Scale’.

In this work, a feasible and low-cost approach is proposed for level measurement in multiphase systems inside tanks used for petroleum-derived oil production. The developed level sensor system consisted of light-emitting diodes (LEDs), light-dependent resistor (LDR), and a low-cost microprocessor. Two …

This report investigates how consumers can be motivated to reduce microplastic pollution from fashion. The research used a mix of qualitative and quantitative data, including surveys and interviews. It concludes that the production, use, and disposal of garments contribute to microfiber release and subsequent …

The recent advancements in machine learning (ML) techniques have significantly improved the performance in various natural language processing (NLP) tasks, particularly in deep learning with the transformer architecture. Despite their promising applications in different domains, these innovations have …

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on …

Nowadays, one of the major current health risks is excessive sitting during work hours. Furthermore, the coronavirus disease 2019 (COVID-19) pandemic and the corresponding government state of emergency forced many people to work from home. These constraints carried out an important change in the lifestyle …

This documentation covers a feasability study on Computer Vision to register Data Matrix Codes using Machine learning. The documentation covers the topics of selecting the components of the system, the type of training data needed to train an Object Detection Model using Machine Learning, and the processes …