A smart door prototype with a face recognition capability

Hutomo, Ivan Surya; Wicaksono, Handy

doi:10.11591/ijra.v11i1.pp1-9

Cited by 8 publications

(9 citation statements)

References 23 publications

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“…The higher min neighbor value, the fewer object detection results and the accuracy tends to be more accurate. Otherwise, the smaller min neighbor value is, the more sensitive system will be in detecting faces so that it tends to be even more inaccurate because there are so many detected objects [19].…”

Section: Image Normalizationmentioning

confidence: 99%

Integration of Colbp and Viola Jones Feature Extraction Methods in Gender Classification Based on Facial Image

Whinar Kukuh Rizky Ardana,

Tio Dharmawan,

Muhamad Arief Hidayat

2024

IJIES

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Nowadays face recognition still being a hot topics to be discussed especially it’s utility for gender classification. Gender classification is an easy task for human but it’s a challenging task for computers because it doesn’t have capability for recognizing human gender without feature extraction. There are still many researches about facial image feature extraction for gender classification. Geometry features and Texture Features are well perform features for gender classification. This paper will presents fusion of those feature in order to find an improvement for gender classifications task. Each features will be extracted using Viola Jones Algorithm and Compass Local Binary Pattern method. Both features will be combined using concatenated method in dataframe format. Viola Jones algorithm has an issues when detecting each facial regions so it causes outliers in each geometry features. The proposed method will be evaluated on color FERET dataset that contains facial images. Classification task will be done using Random Forest and Backpropagation. The result is fusion features present an improvement in gender classification using Backpropagation with 87% accuracy. It prove that proposed method perform better than single feature extraction method.

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Section: Image Normalizationmentioning

confidence: 99%

Integration of Colbp and Viola Jones Feature Extraction Methods in Gender Classification Based on Facial Image

Whinar Kukuh Rizky Ardana,

Tio Dharmawan,

Muhamad Arief Hidayat

2024

IJIES

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“…If a match exists, the door unlocks; otherwise, an alarm goes off, and pictures of the user are sent to the place owner. Reference [40] proposed a similar design.…”

Section: ) Biometric-centered Systemsmentioning

confidence: 99%

Design Recommendations for Gate Security Systems and Health Status: A Systematic Review

Almuhaideb,

Elhussein,

Osman

et al. 2023

IEEE Access

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Gate security systems use authentication methods to operate hardware components that grant or deny access to restricted areas. Each context has specific requirements to determine user admissibility. There are currently no design recommendations available for these systems despite their significance. Most research proposes designs based on their recommended authentication scheme without providing general guidance on constructing these systems. This study follows Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and conducts a systematic literature review, combining recent research on smart gates. Studies published between 2016 and 2023 are analyzed and evaluated to identify their main components and authentication schemes. A total of 52 research papers published in various journals and conferences were collected. After conducting the review, three main design themes were identified: smartphones, tags, and biometrics. These themes were the focal point of the study. Out of all the designs, 66% only consider using one-factor authentication. These designs primarily rely on biometricbased methods. During the COVID-19 crisis, some designs used biometric authorization instead of identity authentication to incorporate health status. The focus was detecting whether the person wore a face mask and had a normal body temperature. Furthermore, the review reveals that most studies disregard the system's hardware components and focus on authorization. Also, only 25% of the studies have conducted an implementation for their design and produced results evaluating their performance. The study concludes that a successful smart gate design must consider and balance cost, usability, and security. Furthermore, health status needs to be verified as an additional layer of protection after determining existing authentication requirements.

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“…A microcontroller is a free hardware platform consisting of an integrated circuit that can record instructions. These instructions are written with a particular programming language that allows users to set programs that interact with electronic circuits [34], [35]. The arduino UNO microcontroller used in this paper as shown in Figure 3 contains an ATmega328 board with 14 input and output pins.…”

Section: Microcontroller Arduino Unomentioning

confidence: 99%

A microcontroller based microfluidic biochip for calcium percentage detection in blood

Al-Sawwaff

Rashid

Al-Okby

et al. 2022

IJEECS

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Apheresis is an essential step in clinical diagnostic. Searching for a safe and fast way was necessary to avoid wasting time and obtain the desired results efficiently. <span lang="EN-US">This research includes two stages: First, a microfluidic biochip with the properties of fast processing response, automation capability, and low-cost was designed having a tiny mesh-type channel that filters pure plasma from the blood components and a straight channel to deliver the pure plasma to a tank. Second, an automated system was designed to detect blood calcium levels using a microcontroller and a colors-detection sensor TCS3200-DB. The device is designed to take a 0.15 to 2.15 mg/dL, 10-160 µm blood sample, which is considered small compared to the samples taken for the blood apheresis process used in laboratories where a substantial quantity of pure plasma is obtained naturally. Pure plasma is mixed with calcium detectors R1 and R2 to get a violet-colored solution with a wavelength between 390 nm to 440 nm. The results of the proposed device were compared with the traditional methods used spectroscopy method using concentrations of 10 different blood samples, and the results proved that there is a slight error between the two processes.</span>

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A smart door prototype with a face recognition capability

Cited by 8 publications

References 23 publications

Integration of Colbp and Viola Jones Feature Extraction Methods in Gender Classification Based on Facial Image

Integration of Colbp and Viola Jones Feature Extraction Methods in Gender Classification Based on Facial Image

Design Recommendations for Gate Security Systems and Health Status: A Systematic Review

A microcontroller based microfluidic biochip for calcium percentage detection in blood

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