For the last several decades, the increased, widespread, unwarranted, and unaccountable use of Closed-Circuit TeleVision (CCTV) cameras globally has raised concerns about privacy risks. Additional recent features of many CCTV cameras, such as Internet of Things (IoT) connectivity and Artificial Intelligence (AI)-based facial recognition, only increase concerns among privacy advocates. Therefore, on par \emph{CCTV-aware solutions} must exist that provide privacy, safety, and cybersecurity features. We argue that an important step forward is to develop solutions addressing privacy concerns via routing and navigation systems (e.g., OpenStreetMap, Google Maps) that provide both privacy and safety options for areas where cameras are known to be present. However, at present no routing and navigation system, whether online or offline, provide corresponding CCTV-aware functionality. In this paper we introduce OSRM-CCTV -- the first and only CCTV-aware routing and navigation system designed and built for privacy, anonymity and safety applications. We validate and demonstrate the effectiveness and usability of the system on a handful of synthetic and real-world examples. To help validate our work as well as to further encourage the development and wide adoption of the system, we release OSRM-CCTV as open-source.
翻译:在过去几十年里,全球对闭路电视(CCTV)摄像头的使用增加、广泛、无端和不负责任,引起了对隐私风险的关切。最近许多闭路电视摄像头的更多特征,如Things(Iot)互联网连接和人工智能(AI)的面部识别,只能增加隐私倡导者的关切。因此,在提供隐私、安全和网络安全特点的同等标准上,必须存在这样的解决方案。我们主张,向前迈出的一个重要步骤是通过路线和导航系统(例如OpenStreMap、Google Maps),制定解决隐私问题的解决办法,为已知存在相机的地区提供隐私和安全选择。然而,目前没有线性和导航系统,无论是在线还是离线系统,都提供相应的闭路电视功能。在这份文件中,我们介绍OSRM-CCTV,这是为隐私、匿名和安全应用而设计和建立的首个和唯一的闭路电视线路和导航系统。我们确认并展示了系统在一组合成和真实的系统上的有效性和可操作性,以便进一步鼓励我们作为开放和公开版本的系统的发展。