WITHDRAWN: Suspect detection system – An architecture based on surveillance visual analytics using IoT

Rodda, Anirudh; Mallika, S. Suguna; Jaiganesh, M.; Mrunalini, M.

doi:10.1016/j.matpr.2020.09.738

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…A study performed by Rodda et al 12 shows an architecture for suspicious visitor monitoring, using camera footage, event detection, and tracking systems featuring a Raspberry Pi architecture. The authors proposed a methodology to gather and process visitors' images with the intent of notifying the event security department if a suspicious visitor is detected.…”

Section: Background Problem Definition and Contextmentioning

confidence: 99%

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Internet‐of‐things architectures for secure cyber–physical spaces: The VISOR experience report

Pascale

Cascavilla

Sangiovanni

et al. 2022

J Software Evolu Process

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Internet of things (IoT) technologies are becoming a more and more widespread part of civilian life in common urban spaces, which are rapidly turning into cyber-physical spaces. Simultaneously, the fear of terrorism and crime in such public spaces is everincreasing. Due to the resulting increased demand for security, video-based IoT surveillance systems have become an important area for research. Considering the large number of devices involved in the illicit recognition task, we conducted a field study in a Dutch Easter music festival in a national interest project called VISOR to select the most appropriate device configuration in terms of performance and results. We iteratively architected solutions for the security of cyber-physical spaces using IoT devices. We tested the performance of multiple federated devices encompassing drones, closed-circuit television, smart phone cameras, and smart glasses to detect real-case scenarios of potentially malicious activities such as mosh pits and pickpocketing. Our results pave the way to select optimal IoT architecture configurations-that is, a mix of CCTV, drones, smart glasses, and camera phones in our case-to make safer cyber-physical spaces' a reality.

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Section: Background Problem Definition and Contextmentioning

confidence: 99%

“…Like any study of comparable magnitude and scale, this study is affected by several threats to validity 12 . In what follows, we outline the major ones in our study design and execution.…”

Section: Study Limitations and Threats To Validitymentioning

confidence: 99%