Predikce výskytu ozbrojených osob z obrazových záznamů s využitím strojového učení
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
This thesis deals with artificial intelligence and its applications in security. The focus of this thesis is the implementation of an intelligent system utilizing machine learning that will
be capable of evaluating dangerous situations in a MATLAB simulation environment based
on data from an image database. The first part of this thesis covers the general fundamentals
of artificial intelligence and specific applications of this technology in security systems.
This is followed by the second part of the thesis, which focuses on the implementation
of a predictive model capable of detecting weapons in image recordings. The model will
be progressively trained and tested under various parameter settings, and an analysis of the model’s performance will be conducted. In conclusion, possible improvements will be proposed for potential further research.
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Subject(s)
Artificial Intelligence, CNN, Weapon detection, GoogLeNet, ResNet-101