Paper Title

Vending Machine for Smart Gifting Under-Privileged People

Authors

Ayman Alharbi

Keywords

Vending Machine, Smart Gifting Machine, Human-Machine Interaction, Fingerprint feature extraction, minutia; GUI Micro controller

Abstract

In this paper, we propose a design and implementation technique for smart gift vending machine using bio-metric-based authentication. This proposed machine is to facilitate, the process of gifting in publicity or privately without knowing the gift taker or end-user. This process is done automatically, without any extravagance in gifts by the end-user. This proposed model benefits with its systems, methods, construction and designs of Smart-Gifting machines and systems, to provide many products types (like gifts, such as books, snacks, beverage, etc.,) provided to the public or private. It will be taken by the end-user according to a gifting strategy in which a plan to determines the certain quantity of time to be set by the operator, client or the owner of Smart-gifting machines. In such a way that the Smart-Gifting machine will work automatically with gift takers or end-users without gifts at the same time without violating their privacy. The Gifting Machine Captivate Technology is a fingerprint-based full hand detection database created at a certain time. The results meet the IEC 61000-4-6 Class A requirements.

How To Cite

"Vending Machine for Smart Gifting Under-Privileged People ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 1, page no.8 - 14, January-2020, Available :https://ijsdr.org/papers/IJSDR2001002.pdf

Issue

Volume 5 Issue 1, January-2020

Pages : 8 - 14

Other Publication Details

Paper Reg. ID: IJSDR_191191

Published Paper Id: IJSDR2001002

Downloads: 000347046

Research Area: Engineering

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2001002

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2001002

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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