Privacy-Aware Smart Cameras: View Coverage via Socially Responsible Coordination
arXiv SecurityArchived Mar 25, 2026✓ Full text saved
arXiv:2603.23197v1 Announce Type: new Abstract: Coordination of view coverage via privacy-aware smart cameras is key to a more socially responsible urban intelligence. Rather than maximizing view coverage at any cost or over relying on expensive cryptographic techniques, we address how cameras can coordinate to legitimately monitor public spaces while excluding privacy-sensitive regions by design. This article proposes a decentralized framework in which interactive smart cameras coordinate to au
Full text archived locally
✦ AI Summary· Claude Sonnet
Computer Science > Cryptography and Security
[Submitted on 24 Mar 2026]
Privacy-Aware Smart Cameras: View Coverage via Socially Responsible Coordination
Chuhao Qin, Lukas Esterle, Evangelos Pournaras
Coordination of view coverage via privacy-aware smart cameras is key to a more socially responsible urban intelligence. Rather than maximizing view coverage at any cost or over relying on expensive cryptographic techniques, we address how cameras can coordinate to legitimately monitor public spaces while excluding privacy-sensitive regions by design. This article proposes a decentralized framework in which interactive smart cameras coordinate to autonomously select their orientation via collective learning, while eliminating privacy violations via soft and hard constraint satisfaction. The approach scales to hundreds up to thousands of cameras without any centralized control. Experimental evidence shows 18.42% higher coverage efficiency and 85.53% lower privacy violation than baselines and other state-of-the-art approaches. This significant advance further unravels practical guidelines for operators and policymakers: how the field of view, spatial placement, and budget of cameras operating by ethically-aligned artificial intelligence jointly influence coverage efficiency and privacy protection in large-scale and sensitive urban environments.
Comments: This work has been submitted to the IEEE for possible publication
Subjects: Cryptography and Security (cs.CR); Multiagent Systems (cs.MA); Systems and Control (eess.SY)
Cite as: arXiv:2603.23197 [cs.CR]
(or arXiv:2603.23197v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2603.23197
Focus to learn more
Submission history
From: Chuhao Qin [view email]
[v1] Tue, 24 Mar 2026 13:43:01 UTC (6,086 KB)
Access Paper:
HTML (experimental)
view license
Current browse context:
cs.CR
< prev | next >
new | recent | 2026-03
Change to browse by:
cs
cs.MA
cs.SY
eess
eess.SY
References & Citations
NASA ADS
Google Scholar
Semantic Scholar
Export BibTeX Citation
Bookmark
Bibliographic Tools
Bibliographic and Citation Tools
Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
Connected Papers Toggle
Connected Papers (What is Connected Papers?)
Litmaps Toggle
Litmaps (What is Litmaps?)
scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
Code, Data, Media
Demos
Related Papers
About arXivLabs
Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)