Image-Based Smart Surveillance and Remote Door Lock Switching System for Homes

Patel, Jay; Anand, Sundar; Luthra, Rohan

doi:10.1016/j.procs.2020.01.056

Cited by 11 publications

(4 citation statements)

References 3 publications

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“…The security aspect is the top concern of IoT connected entities. Data can be personal, corporate or consumer [13], [14]. To come up with an acceptable SDL application, security must be viewed as a major challenge.…”

Section: Figure 1 Types Of Locksmentioning

confidence: 99%

Door lock system based on internet of things and Bluetooth by using Raspberry Pi

Hashim,

Qasim,

Hamzah

et al. 2023

Bulletin EEI

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Recently, there are a large number of smart lock systems that can be used in the workplace or home, but many of them depend on finding an external key, password, fingerprint, and facial recognition, where these systems suffer from weakness as the physical key may be forgotten in a place, the password can be memorized which is hard for some peoples, and the fingerprint system sometimes does not work on people who suffer from chronic diseases, such as people with diabetes and for each of these systems the person needs a free hand so that he/her can open the lock which means that is if the person carries something he/her needs to be placed somewhere. The facial recognition system cannot recognize the person's face when the place has poor lighting. This paper proposes a home door lock system that relies on the internet of things (IoT) technology and portable electronic devices Bluetooth such as a smart mobile using the device Bluetooth media access control (MAC) address as a key and the IoT for monitoring, which leads to a door lock that does not require a free hand. The proposed lock system outcome can be a good candidate for home security applications.

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Section: Figure 1 Types Of Locksmentioning

confidence: 99%

Door lock system based on internet of things and Bluetooth by using Raspberry Pi

Hashim,

Qasim,

Hamzah

et al. 2023

Bulletin EEI

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show abstract

“…This section provides a review of relevant literature on smart home automation. J. Patel, S. Anand, and R. Luthra [15] This paper presents a safe and reliable mechanism for unlocking Remote home doors using a mobile application. The prototype system consists of Amazon Web Services (AWS), a Raspberry Pi v2 camera module, a Raspberry Pi Model 3B+, a proximity sensor (infrared sensor), a switch (to simulate a doorbell), an LED (to simulate a door) and a liquid-crystal display (LCD) screen, and Android app.…”

Section: Related Workmentioning

confidence: 99%

A New Smart Home Intruder Detection System Based on Deep Learning

Ali

Naif

Humood

2023

Al-Mustansiriyah Journal of Science

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The security of home doors has become one of the necessities in this era. The Internet of Things (IoT) technology has also entered into building the smart home. Therefore, it has become necessary to develop a facial recognition system that can be implemented on IoT devices. This study presented a method to recognize faces using the efficientnet-b4. Transfer learning with fine-tuning was used here due to the small dataset size and high accuracy (accuracy of Top-1= 82.9% and accuracy of Top-5 = 96.4%) of EfficientNet-B4 and it has fewer parameters (19.5 M) than the previously known model and this is what we are looking for in order to implement it on the Raspberry Pi. After training and saving the model, it is converted into a lightweight model and transferred to the Raspberry to distinguish faces. The results showed that the model had an accuracy of 97%, despite the fact that the collected images were taken in different lighting, different places, and different facial expressions.

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“…Currently, many studies have proposed solutions to these issues, which are as follows:  Using hardware for authentication: This method involves using a keypad together with sensors and smartphones to form a digital door lock system [1], creating a password from a computer or a smartphone and having a user enter digits using the keypad [2], using a wearable device, such as a smartwatch deploying an android application, for identity verification [3], and using RFID for authentication and access control [4].  Using biometrics for authentication: This method includes developing equipment to unlock a door by using a fingerprint scanner for authentication [5][6], the development of a facial recognition system for authentication when accessing a building, where the system can send a notification to a smartphone when an intruder tries to enter a building [7][8] or use an image classification technique for a smart door closer system [9], and using an iris biometric to control access [10].  Using distance for authentication: This system detects the distance between the user and the device to confirm access.…”

Section: Related Studies On Residential Access Controlmentioning

confidence: 99%

Residential access control system using QR code and the IoT

Satanasaowapak

Kawseewai

Promlee

et al. 2021

IJECE

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This paper presents a residential access control system (RACs) using QR codes and the internet of things (IoT) to improve security and help house owners. The contribution of this paper is that it proposes two mechanisms in the authentication phase and the verification phase, respectively, to enhance residential access control. The main idea is using cryptography between smartphones and access control devices. The cryptography compares secret codes on the key server via the internet. The RACs can notify a user of the residential access status through the LINE application and show the statuses of devices through the network platform for the internet of everything (NETPIE) in real-time. We compare this system’s performance with that of the current access control methods in terms of security and access speed. The results show that this system has more security and has an access speed of 5.63 seconds. Moreover, this system is safer and more flexible than the comparative methods and suitable for contactless authentication.

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Image-Based Smart Surveillance and Remote Door Lock Switching System for Homes

Cited by 11 publications

References 3 publications

Door lock system based on internet of things and Bluetooth by using Raspberry Pi

Door lock system based on internet of things and Bluetooth by using Raspberry Pi

A New Smart Home Intruder Detection System Based on Deep Learning

Residential access control system using QR code and the IoT

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