Prototype Model of an IoT-based Digital and Smart Door Locking System with Enhanced Security

Khan, M. Adil; Nisar, Kashif; Lodhi, Ehtisham; Khan, Jawad Ahmad; Khan, Muhammad; Soomro, Tariq Rahim; Nisar, Sana

doi:10.1109/macs56771.2022.10023385

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…When talking about home security systems, doors are the most important part of a building because they are the main access to go in or out. For this reason, a proper security system is needed on the door to prevent theft [2]. Currently, the only doors available on the market have physical keys to securely open or close the door of a building.…”

Section: Introductionmentioning

confidence: 99%

“…With rapidly developing technology, people are looking for devices to ensure safety and comfort in their homes. There are currently several types of security device technology, such as facial recognition [5]- [7], fingerprint [3], [4], [8]- [10], finger geometry (finger size and position), iris recognition, vein recognition, retina scan, and voice recognition [2], [3], [6], [7], [9]- [18].  ISSN: 2722-3221 Smart door locks using biometrics have the advantage of higher security.…”

Section: Introductionmentioning

confidence: 99%

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Fingerprint based smart door lock system using Arduino and smartphone application

Sutikno,

Faqih Ubaidillah,

Arsadiando

et al. 2024

Comput. Sci. Inf. Technol.

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In 2023, crime cases in Indonesia reached 105,133. Cases of theft with aggravation dominate the majority of cases. Everyone is concerned about safety, but doors are typically opened and closed using physical keys. This is vulnerable to being tampered with with fake keys, which can lead to house break-ins and theft. In this research, we propose a fingerprint-based wireless door lock design using Arduino and a smartphone. We offer this solution as a preventive measure to reduce the high rate of theft in homes or other buildings. The devices used are Arduino UNO R3, fingerprint sensor, HC-05 Bluetooth module, buzzer, and door lock solenoid. The results of the fingerprint-based wireless door lock using Arduino and a smartphone can function well, with an average response time of 1.20 seconds. Furthermore, testing the HC-05 Bluetooth when sending signals to a smartphone shows that it can read data accurately with an average response time of 1.54 seconds.

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Section: Introductionmentioning

confidence: 99%