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This alert has been successfully added and will be sent to: You will be notified whenever a record that you have chosen has been cited. To manage your alert preferences, click on the button below. Manage my Alerts New Citation Alert! Please log in to your account * Save to Binder Save to Binder [loader] Create a New Binder Name [ ] + Cancel + Create * Export Citation * Publisher Site * eReader * PDF SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors Pages 288-301 PreviousChapterNextChapter ACM Digital Library ABSTRACT Tiny hidden spy cameras concealed in sensitive locations including hotels and bathrooms are becoming a significant threat worldwide. These hidden cameras are easily purchasable and are extremely difficult to find with the naked eye due to their small form factor. The state-of-the-art solutions that aim to detect these cameras are limited as they require specialized equipment and yield low detection rates. Recent academic works propose to analyze the wireless traffic that hidden cameras generate. These proposals, however, are also limited because they assume wireless video streaming, while only being able to detect the presence of the hidden cameras, and not their locations. To overcome these limitations, we present LAPD, a novel hidden camera detection and localization system that leverages the time-of-flight (ToF) sensor on commodity smartphones. We implement LAPD as a smartphone app that emits laser signals from the ToF sensor, and use computer vision and machine learning techniques to locate the unique reflections from hidden cameras. 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Human-centered computing 1. Ubiquitous and mobile computing 1. Ubiquitous and mobile computing theory, concepts and paradigms 1. Mobile computing Comments Please enable JavaScript to view thecomments powered by Disqus. Login options Check if you have access through your login credentials or your institution to get full access on this article. Sign in Full Access Get this Publication * Information * Contributors * Published in ACM Conferences cover image SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems November 2021 686 pages ISBN:9781450390972 DOI:10.1145/3485730 Copyright (c) 2021 Owner/Author Sponsors In-Cooperation Publisher Association for Computing Machinery New York, NY, United States Publication History + Published: 15 November 2021 Permissions Request permissions about this article. 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