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A Contributory Public-Event Recording and Querying System

Joseph, A and Yadav, N and Ganapathy, V and Behl, D (2023) A Contributory Public-Event Recording and Querying System. In: UNSPECIFIED, pp. 185-198.

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Official URL: https://doi.org/10.1145/3583740.3628445

Abstract

CCTV (Closed-Circuit Television) systems are commonly used for security and surveillance. They provide a visual record of events, which can be used to monitor criminal activity, support investigations, and improve public safety. Many cities have implemented a number of cameras for surveillance, with Delhi, India having 1446 cameras per square mile. These cameras are installed mainly by official traffic police or city authorities, but private organizations and individuals also have their cameras pointed toward public spaces. In many cases, the city authorities or police require query capability and access of the video feed from these CCTV cameras to perform diligent inquiries but the private entities usually do not share the raw footage due to various concerns. To address the above issue, we introduce the 'Public Event Recording and Querying System (PERQS)', a video analysis-based querying system. PERQS is a contributory CCTV network that encompasses both private and public parties. PERQS provides a reliable and secure solution for querying CCTV video feeds by leveraging video analytic algorithms. It ensures video privacy by allowing participants to perform video analysis locally on their servers. Additionally, PERQS employs hash-based commitments and query consensus, guaranteeing tamper-proof and accurate results. Furthermore, it provides a novel consensus mechanism called time-travel consensus to build trust in the query output even in the case of a lack of cameras pointing at a particular location. We introduce a query language PERQL, similar to SQL, which makes the system expandable and flexible. The plug-and-play architecture allows for integration with advanced vision models and algorithms for analysis. © 2023 ACM.

Item Type: Conference Paper
Publication: Proceedings - 2023 IEEE/ACM Symposium on Edge Computing, SEC 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Blockchain; Cameras; Query languages; Security systems, Block-chain; Closed circuit television; Contributory-closed-circuit television; Criminal activities; Querying systems; Recording systems; Security and surveillances; Video analysis; Video analytics; Video querying, Law enforcement
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 16 May 2024 06:06
Last Modified: 16 May 2024 06:06
URI: https://eprints.iisc.ac.in/id/eprint/84521

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