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Journal Article Hidden Camera Detection in Smart Environments: A Comprehensive Survey of Current Methods, Challenges, and Future Perspectives
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Authors
Hyeyoung An, Woojin Park, Soochang Park
Issue Date
2026-05
Citation
IEEE Internet of Things Journal, v.13, no.10, pp.20085-20104
ISSN
2327-4662
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/JIOT.2026.3652150
Abstract
The rapid proliferation of functional network devices equipped with imaging capabilities across consumer, industrial, security, and defense sectors has enhanced convenience and safety. However, this widespread adoption has simultaneously raised critical concerns regarding covert surveillance and privacy violations. In recent years, research on detecting and localizing hidden spy cameras has made substantial progress, driven by the urgent need for reliable and robust counter-surveillance technologies. While hidden camera detection has emerged as a critical research area, existing efforts remain dispersed across various domains without a unifying perspective. This survey consolidates existing approaches into four paradigms and provides a structured foundation for comparative analysis. The reviewed techniques are systematically categorized into three primary sensing domains: network-based, optical, and spectrum-oriented approaches. The fourth paradigm encompasses hybrid architectures that integrate machine learning to enhance detection accuracy. This survey provides a comprehensive taxonomic framework that unifies detection and localization approaches for hidden camera countermeasures. By systematically reviewing current technologies and identifying research gaps, we aim to provide strategic guidance on privacy-preserving detection systems that can effectively counter evolving surveillance threats.
Keyword
Detection, hidden camera, localization, spy camera, wireless traffic analysis
KSP Keywords
Camera detection, Comparative analysis, Critical research, Detection accuracy, Detection and Localization, Existing Approaches, Functional networks, Hybrid architecture, Intrusion Detection Systems(IDS), Privacy-preserving, Smart environment