Design of Smart-Gate Based on Artificial Intelligence Possibly for COVID-19 Early Prevention at Public Area

Putra, Dicky Dwi; Febriyanto, Mohammad; Nadra, Muhammad Miqdad; Shalannanda, Wervyan; Firzal, Elsa Ramadhani; Munir, Achmad

doi:10.1109/tssa51342.2020.9310878

Cited by 8 publications

(2 citation statements)

References 9 publications

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“…They tested their design based on its responsiveness, reliability, recognition rate, and authorization. Another design by [24] introduced a smart gate with mask recognition via a deep learning model (97% accuracy), IR temperature checks, and an automatic disinfectant sprayer. Their gate checked for whether a user is abiding with the requirement of wearing a mask.…”

Section: A Health-aware Smart Gatesmentioning

confidence: 99%

Efficient Entry: A Stateful Authentication Approach in Health-Aware Smart Gate Systems

Elhussein,

Almuhaideb,

Alholyal

et al. 2024

IEEE Access

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This study presents the development and evaluation of Health-Aware Smart Gates (HASG), designed to enhance public health security during the COVID-19 pandemic. When compared with traditional smart gate systems, HASGs offer improved security through rigorous health protocol enforcement, enhanced user experience by reducing wait times, and increased reliability. The innovation lies in its stateful authentication mechanism-a contrast to the conventional stateless systems-which reduces wait times for frequent users by 31.7%, significantly enhancing efficiency and security. This server-inspired approach allows HASGs to quickly adapt to various health emergencies and incorporate potential hardware upgrades, further reducing response times and elevating the technology's contribution to smart gate applications. Prototype testing confirms the system's high accuracy and reliability, underlining its value in smart gate technology.INDEX TERMS Biometrics (access control), COVID-19, Health and Safety, Internet of Things, Smart Healthcare.

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Section: A Health-aware Smart Gatesmentioning

confidence: 99%

Efficient Entry: A Stateful Authentication Approach in Health-Aware Smart Gate Systems

Elhussein,

Almuhaideb,

Alholyal

et al. 2024

IEEE Access

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“…This proposed system is limited to temperature monitoring and face mask detection. D. D. Putra et al [27] developed a smart-Gate for COVID-19 Early Prevention at Public Area based on artificial intelligence to be integrated with the INCEPS website. This smart gate was limited at checking whether people are wearing face masks properly and activate a notification.…”

Section: Literature Reviewmentioning

confidence: 99%

IoT and Fuzzy Logic Applied to Smart Public Hall for COVID-19 Monitoring System

Nyakuri¹,

Harerimana²,

Karanguza³

et al. 2023

AJCE

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Purpose: Since the breakout of COVID-19 pandemic, various preventive measures have been put in place by WHO to prevent the spread of this disease. However, some people are unaware or less likely to follow rules regarding hygiene, physical distancing, properly wearing of face mask and body temperature measurement. One of the best solutions to this challenge is the introduction of the internet of things (IoT) technology to assist in implementation of the preventive measures. This paper presents an IoT-enabled solution that uses Fuzzy logic controller to assess the risks of being COVID-19 infected and monitor environment conditions in the public hall to limit the spread of the coronavirus. Methodology: The proposed model employed sensors to measure in real-time the body temperature, hand sanitization, wearing of face mask, room ventilation and IP camera controlled by Fuzzy logic controller for decision making. In addition, it uses raspberry-pi for processing and data transmission to the cloud, liquid crystal display (LCD) for displaying data and web application was developed for user interface. The resulting sensor measurements were simulated using MATLAB software and the system made automatic decisions. Findings: A prototype was implemented effectively and the results obtained from the system were fast, accurate, efficient and cost effective when compared to other commercially available systems. Unique Contribution to Practice: The actual practice for implementing the preventive measures require the presence of the health care personnel (HCP) which is time consuming and risky for HCP. Therefore, this system works autonomously and effectively in monitoring and controlling the implementation of the COVID-19 preventive measures in the public hall.

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