Biometric Authentication Based Automated, Secure, and Smart IOT Door Lock System

Saroha, Aditya; Gupta, Amit; Bhargava, Aditya; Mandpura, Anup Kumar; Singh, Himanshu

doi:10.1109/indiscon54605.2022.9862840

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…The number of research works based on door-based face authentication or recognition is limited, with only a few related works proposed in [40,33,52,41,38]. However, these works primarily concentrate on traditional bio-metric applications, intelligent door lock systems, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

FewFaceNet: A Lightweight Few-Shot Learning-based Incremental Face Authentication for Edge Cameras

Sufian,

Ghosh,

Barman

et al. 2023

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

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Face authentication is a widely used technique for verifying identity, but current approaches encounter limitations due to their reliance on extensive computing resources, large datasets, and well-lit environments. Additionally, these approaches often lack adaptability to accommodate new individuals and continuously improve performance. These constraints make them impractical for various edge applications such as smart home security, bio-metric, surveillance system, etc. To address these challenges, this paper introduces a novel technique called FewFaceNet, which leverages a very lightweight few-shot learning-based incremental face authentication. Unlike existing methods, FewFaceNet employs a shallow lightweight backbone model that can start work with just one face image and also can handle infrared images in dark environments. These features make it highly suitable for deployment on small-edge cameras like door security cameras. We curated a diverse dataset from various reliable sources, including our own infrared camera to train and evaluate the model. Through extensive experimentation, we assessed the performance of FewFaceNet with different backbone ablation studies across one-shot to five-shot scenarios. The experimental results convincingly demonstrate the effectiveness of FewFaceNet in overcoming the limitations of existing approaches. The code and data available at: https://github.com/Sufianlab/FewFaceNet.

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Section: Literature Reviewmentioning

confidence: 99%

FewFaceNet: A Lightweight Few-Shot Learning-based Incremental Face Authentication for Edge Cameras

Sufian,

Ghosh,

Barman

et al. 2023

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

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“…Salaried individuals should also take into account the tax benefits associated with different investment options when making decisions, in order to minimize their tax liability and maximize returns. As reported in the Reserve Bank of India (RBI) Survey, a majority of Indians display a strong inclination towards depositing their money in banks due to the stability, liquidity, and profitability of such investment avenues [13], [14], [15]. However, recent trends indicate that the salaried class is gradually becoming more willing to take risks, exploring equity markets and other high-risk financial instruments in pursuit of greater returns.…”

Section: Introductionmentioning

confidence: 99%

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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Design and Implementation of a Smart Door Locking System with Automatic Appliance Switching

Ahmed,

Reddy,

Sahithi

et al. 2023

Lecture Notes in Electrical Engineering

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Biometric Authentication Based Automated, Secure, and Smart IOT Door Lock System

Cited by 8 publications

References 12 publications

FewFaceNet: A Lightweight Few-Shot Learning-based Incremental Face Authentication for Edge Cameras

FewFaceNet: A Lightweight Few-Shot Learning-based Incremental Face Authentication for Edge Cameras

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

Design and Implementation of a Smart Door Locking System with Automatic Appliance Switching

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