Crime Detection using Deep Learning

Ashokan, Pavithra (2023) Crime Detection using Deep Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research explores the integration of Deep learning and Crime detection, with a focus on the efficacy of Transfer learning. By the increasing demand for advanced technologies in Law enforcement agencies, a comprehensive investigation was undertaken in order to harness the powers of Convolutional Neural Networks. This study obtains a diverse dataset, sourced from the UCF Crime Detection dataset. The objective of this research is to develop a robust crime detection system, using Deep learning model, while leveraging Transfer learning with DenseNet121. The steps involve data gathering, pre-processing and the model development, that investigate the intricacies of Transfer learning, optimizing model parameters that suits the diverse image datasets. The obtained results indicate that model’s proficiency in crime classification with low loss and high AUC scores. The critical analysis highlights the model’s strengths and identifies the areas of improvement and contributing valuable insights for further research and the practical applications. The findings contribute to the broader field of computer vision and deep learning, which provides a foundation for optimizing in enhancing public safety systems. This research aims to strike a balance between academic and practical applicability, as it bridges the gap between theoretical advancements in Deep learning and their benefits for public safety.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Rifai, Hicham UNSPECIFIED
Subjects:	H Social Sciences > HV Social pathology. Social and public welfare > Criminology > Crimes and Offences Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	06 May 2025 18:15
Last Modified:	06 May 2025 18:15
URI:	https://norma.ncirl.ie/id/eprint/7492

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