Security patrol routes and checkpoints optimization with MATLAB to minimize blind spots and enhance the safety

Marimuthu, Yassvindhran (2025) Security patrol routes and checkpoints optimization with MATLAB to minimize blind spots and enhance the safety. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

In this project, we are using MATLAB to plan security patrol routes and checkpoints better, determining the optimal routes for these patrols to go and the location for their checks is a challenging but crucial task. By data analysis and optimization techniques, we ensure that patrols efficiently cover critical areas and adjust to evolving security requirements. Most of the time, the security checkpoints are usually not well-planned, requiring guards to travel the same paths repeatedly, time, and energy. Due to poorly designed patrol routes and checkpoints, guards can miss crucial locations like ATMs or hidden corners, leaving these places open to potential threats. The guards may not even be aware that they are missing these areas. The efficiency of security measures may be prevented by guards unknowingly ignoring these areas of risk because they are unaware of the security threats. As a result of that, this degrades overall safety because there is no systematic method and there is not a clear and organized approach. Thus, it is important to develop a systematic approach using MATLAB to optimize patrol routes, ensuring comprehensive coverage while minimizing blind spots. This project aims to develop a program using MATLAB takes input parameters such as the layout of the area to be patrolled and generates optimized patrol routes to enhance surveillance coverage while reducing vulnerable areas. By leveraging computational geometry, graph theory, and optimization techniques, the program aims to improve the efficiency and effectiveness of security patrols, thereby enhancing overall security measures in various environments. By using MATLAB to plan smarter patrol routes, guards will save time and energy because they will not have to backtrack or miss important spots anymore. This means they will be able to cover all the critical areas, like ATMs and hidden corners, making those places safer from potential threats and enhance safety.

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