AI-driven quasi-optimal security camera positioning for harbor control
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Cristani, M
Workneh, TC
Olivieri, F
Scannapieco, S
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Seville, Spain
Abstract
The problem of positioning cameras for optimal monitoring of a given surface, while given a budget, is quite evidently hard. Moreover, it is very difficult to collect information that could reduce the span of admissible solutions and therefore downsize the problem itself. In this paper, as referred to a specific case in a critical infrastructure, the harbour of the Ventotene Island in southern Italy, how the above mentioned problem can be solved in an effective way by employing a Genetic algorithm. The approach is also generalised in order to solve similar problems.
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Procedia Computer Science
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28th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2024)
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246
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© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
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Tomazzoli, C; Cristani, M; Workneh, TC; Olivieri, F; Scannapieco, S, AI-driven quasi-optimal security camera positioning for harbour control, Procedia Computer Science, Procedia Computer Science, 2024, 246, pp. 4269-4277