Development of Intelligent Door Locking System Based on Face Recognition Technology

Khalimov, R.; Rakhimbayeva, Z.; Shokayev, A.; Kamalov, Bagdaulet; Ali, Md. Hazrat

doi:10.1109/icmae50897.2020.9178866

Cited by 15 publications

(5 citation statements)

References 8 publications

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“…The study surveyed respondents on these variables and discovered that individuals with higher levels of education and income generally possess a better understanding of investment options and the associated risks. Moreover, individuals employed in the private sector tend to demonstrate higher investment awareness compared to their counterparts in the public sector [31]. The research also indicated that married respondents typically had a higher investment score than unmarried individuals.…”

Section: Resultsmentioning

confidence: 78%

Investment behavior of Taxpayers in Response to Tax Incentives an Empirical Study

2023

Int. J. Res. Publ. Rev.

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This study seeks to delve into the understanding of the level of awareness among taxpayers regarding tax-saving schemes, and how this awareness is correlated with their investment patterns. The primary objective of the research is to ascertain the extent to which tax incentives influence the investment decisions made by investors when considering tax-saving schemes. To collect the necessary data for this investigation, a well-designed and comprehensive questionnaire was employed. This questionnaire comprised statements that were specifically related to both awareness and investment habits in tax-saving schemes. Furthermore, the questionnaire also collected relevant demographic information about the participating investors, such as their age, income, and occupation.In order to analyze the data gathered from the questionnaires, the study made use of descriptive statistics and regression analysis techniques. These methods were employed to uncover any correlations or patterns that may be present within the data. The findings of the study revealed a positive correlation between the level of awareness among taxpayers and their investment patterns in tax-saving schemes. In other words, investors who demonstrated a higher awareness of tax-saving schemes were more inclined to invest in them. Moreover, the study also discovered that demographic factors, including age, income, and occupation, played a crucial role in shaping the investment patterns of the participants. These results carry significant implications for both policymakers and financial institutions that aim to stimulate more investments in tax-saving schemes. By working to enhance the awareness of taxpayers about these schemes, financial institutions can foster a greater interest in investment, which can subsequently contribute to increased economic growth. In addition, these institutions can also adapt their marketing strategies to specifically target certain demographic groups that are more likely to invest in tax-saving schemes, based on the findings of this study. Building on these findings, it is essential for policymakers and financial institutions to develop and implement targeted educational and promotional campaigns that effectively raise awareness about tax-saving schemes. These efforts could involve organizing workshops, seminars, and webinars, as well as leveraging digital platforms and social media channels to reach a wider audience.To ensure that these campaigns are successful in reaching the desired demographic groups, it is crucial for financial institutions to collaborate with organizations, such as employers and community groups, that have a direct connection with these target populations. By doing so, they can disseminate tailored information and resources that cater to the specific financial needs and preferences of these groups. Moreover, to maintain and improve upon the positive correlation between awareness and investment patterns in tax-saving schemes, policymakers should consider revisiting and refining tax incentives to make them more ...

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Section: Resultsmentioning

confidence: 78%

Investment behavior of Taxpayers in Response to Tax Incentives an Empirical Study

2023

Int. J. Res. Publ. Rev.

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“…The author Purohit et al [22] have developed a Histogram of Oriented Gradients (HOG) algorithm and support vector algorithm (SVM) and Blink detection are used for anti-spoofing door lock using face recognition of real person not photograph. The Problem addressed in this paper is face recognition and blink detector for home application.…”

Section: Related Work a Face Recognition Based Smart Lock Systemmentioning

confidence: 99%

A Survey on Multifactor Authentication Approaches Door Lock System

et al. 2024

IJFMR

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In a smart environment smart door lock is very important because previously they carried the traditional methods like carrying keys etc. after that they developed a biometric method for security for the users in different sectors because they are unique characters and that are also involved in hacking and using less quality component .and It is most important in present environment because the technology is very fast and they are not carrying key because if they lose the key it is hard to break the lock and it give high security for safety purpose because if we add smart door lock your home means it gives notification to your phone directly open or lock the door if any person came in front of the door if you are in another place it is easy to allow the person .there are so many methods used for smart door lock system but even though there are still having the challenges for security and photography. This summarized all the existing methods for solving the problem using iris recognition. By observing all the existing solutions Iris gives high security compared to other biometric.

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“…The development of a smart card system for the purpose of automatically unlocking doors was stated as the objective in [16]. The user is required to enter both a smart card number and a personal identification number (PIN) in order to gain access to this system.…”

Section: ░ 2 Literature Surveymentioning

confidence: 99%

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2024

AJAST

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Development of Intelligent Door Locking System Based on Face Recognition Technology

Cited by 15 publications

References 8 publications

Investment behavior of Taxpayers in Response to Tax Incentives an Empirical Study

Investment behavior of Taxpayers in Response to Tax Incentives an Empirical Study

A Survey on Multifactor Authentication Approaches Door Lock System

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