Implementation of an enhanced parking occupancy detection system using Convolutional Neural Networks

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Responsable: Leyre Encío [leyre.encio@upm.es]   This master’s thesis introduces an improved parking occupancy detection system designed to accurately identify parking slot occupancy even in challenging, barely visible scenarios. Employing deep learning techniques with Keras and TensorFlow, the system employs Convolutional Neural Networks (CNNs) and image processing to achieve high accuracy. The objective of this master thesis…

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Design and Implementation of an Automated Fish Feeding Detector using Deep Learning approaches

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Responsable: Enmin Zhong [enmin.zhong@upm.es]   This TFM proposal aims to leverage advanced deep learning models to analyze fish feeding behavior, with a focus on optimizing the feeding process in aquaculture to reduce food wastage and financial expenses. The project will involve the analysis of recorded videos from aquaculture facilities capturing fish behavior before, during, and after…

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