Abstract
For the last several decades, the increased, widespread, unwarranted, and unaccountable use of closed-circuit television cameras (CCTV) globally has raised concerns about privacy risks.
Recent CCTV camera features, such as Artificial Intelligence (AI)-based facial recognition, only increase concerns.
Therefore, CCTV-aware solutions must exist that provide privacy, safety, and cybersecurity features. We argue that a significant step forward in privacy is to provide privacy and safety options for areas where cameras are present in routing and navigation systems. However, no routing and navigation system, whether online or offline, provides corresponding CCTV-aware functionality.
In this paper, we introduce OSRM-CCTV – the first CCTV-aware routing system designed and built for privacy, anonymity, and safety applications. We demonstrate the effectiveness and usability of the system on a handful of examples. To help validate our work as well as further to encourage the development and broad adoption of the system, we release OSRM-CCTV as open-source.
L. Sintonen—An extended version of our paper is also available [38].
A. Costin—Original idea author.
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Sintonen, L., Turtiainen, H., Costin, A., Hämäläinen, T., Lahtinen, T. (2022). OSRM-CCTV: CCTV-Aware Routing and Navigation System for Privacy and Safety. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2022. Lecture Notes in Business Information Processing, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-11510-3_19
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