A Smart IoT Security System for Smart-Home Using Motion Detection and Facial Recognition

Majumder, Akm Jahangir Alam; Izaguirre, Joshua Aaron

doi:10.1109/compsac48688.2020.0-132

Cited by 17 publications

(8 citation statements)

References 12 publications

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“…In [7], the authors introduced a smart security system that integrated with facial recognition. The system used PIR sensor to detect motions from 5 meters to 7 meters.…”

Section: Smart Iot Security System Using Motion Detection and Facial ...mentioning

confidence: 99%

An Overview of IoT Based Smart Home Surveillance and Control System: Challenges and Prospects

Chong¹,

Than²,

Ganesan³

et al. 2023

Malaysian J. Sci. Adv. Tech.

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Security plays an important role in our everyday lives be it in a personal, residential, commercial or enterprise setting. In the traditional home security setting, user can retrieve the video captured from the closed-circuit television (CCTV) when needed. However, user will not be notified when there is intruder. This disadvantage can be overcome by inculcating the idea of Internet of Things (IoT) into home security system. Smart home security system can integrate various types of sensors such as motion sensor, humidity sensor and temperature sensor together with electrical appliances in house such as CCTV camera, lights and fans. Smart home security system is capable to send notification to alert user if detected any house scenario which is abnormal so that user can act immediately upon receiving the notification for appropriate action. This helps to ensure the security of house. There are various home security systems proposed by past researchers. Therefore, this paper aims to provide a comprehensive review on the proposed designs and to analyse and compare the results to determine the challenges and prospect in this field of technology.

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“…In [7], the authors introduced a smart security system that integrated with facial recognition. The system used PIR sensor to detect motions from 5 meters to 7 meters.…”

Section: Smart Iot Security System Using Motion Detection and Facial ...mentioning

confidence: 99%

An Overview of IoT Based Smart Home Surveillance and Control System: Challenges and Prospects

Chong¹,

Than²,

Ganesan³

et al. 2023

Malaysian J. Sci. Adv. Tech.

View full text Add to dashboard Cite

show abstract

“…IoT 2024, 5 detection, and notification systems with smart home technology offers a comprehensive security solution for everyday activities [8,10,11]. Cost optimization and facilitation are significant benefits provided by IoT-driven transformations for real-time remote-access systems [12] through cellular and Wi-Fi networks [4,6,13].…”

Section: Introductionmentioning

confidence: 99%

Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands

Netinant,

Utsanok,

Rukhiran

et al. 2024

IoT

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With the rapid rise of digitalization in the global economy, home security systems have become increasingly important for personal comfort and property protection. The collaboration between humans, the Internet of Things (IoT), and smart homes can be highly efficient. Interaction considers convenience, efficiency, security, responsiveness, and automation. This study aims to develop and assess IoT-based home security systems utilizing passive infrared (PIR) sensors to improve user interface, security, and automation controls using voice commands and buttons across different communication protocols. The proposed system incorporates controls for lighting and intrusion monitoring, as well as assessing both the functionality of voice commands and the precision of intruder detection via the PIR sensors. Intelligent light control and PIR intruder detection with a variable delay time for response detection are unified into the research methodology. The test outcomes examine the average effective response time in-depth, revealing performance distinctions among wireless fidelity (Wi-Fi) and fourth- and fifth-generation mobile connections. The outcomes illustrate the reliability of voice-activated light control via Google Assistant, with response accuracy rates of 83 percent for Thai voice commands and 91.50 percent for English voice commands. Moreover, the Blynk mobile application provided exceptional precision regarding operating light-button commands. The PIR motion detectors have a one hundred percent detection accuracy, and a 2.5 s delay is advised for PIR detection. Extended PIR detection delays result in prolonged system response times. This study examines the intricacies of response times across various environmental conditions, considering different degrees of mobile communication quality. This study ultimately advances the field by developing an IoT system prepared for efficient integration into everyday life, holding the potential to provide improved convenience, time-saving effectiveness, cost-efficiency, and enhanced home security protocols.

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“…Audio detection is sometimes used, especially for the detection and localization of specific strong acoustic events such as glass breaking [ 2 ]; the use of specialised microphone hardware has also been reported for source localization [ 3 ]. Due to robustness against low light and weather conditions, passive infrared (PIR) detectors [ 4 , 5 ] and radar detectors [ 6 ] are frequently applied. PIR devices utilize a pair of pyroelectric sensors to detect heat energy (infrared radiation) in the surrounding environment.…”

Section: Introductionmentioning

confidence: 99%

Fusion of Heterogenous Sensor Data in Border Surveillance

Patino

Hübner

King

et al. 2022

Sensors

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Wide area surveillance has become of critical importance, particularly for border control between countries where vast forested land border areas are to be monitored. In this paper, we address the problem of the automatic detection of activity in forbidden areas, namely forested land border areas. In order to avoid false detections, often triggered in dense vegetation with single sensors such as radar, we present a multi sensor fusion and tracking system using passive infrared detectors in combination with automatic person detection from thermal and visual video camera images. The approach combines weighted maps with a rule engine that associates data from multiple weighted maps. The proposed approach is tested on real data collected by the EU FOLDOUT project in a location representative of a range of forested EU borders. The results show that the proposed approach can eliminate single sensor false detections and enhance accuracy by up to 50%.

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A Smart IoT Security System for Smart-Home Using Motion Detection and Facial Recognition

Cited by 17 publications

References 12 publications

An Overview of IoT Based Smart Home Surveillance and Control System: Challenges and Prospects

An Overview of IoT Based Smart Home Surveillance and Control System: Challenges and Prospects

Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands

Fusion of Heterogenous Sensor Data in Border Surveillance

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