Integrating Facial Recognition Technology in IndoAI App with eKYC Case Study & Future of AI Cameras in Banking

Vivek Gujar
{"title":"Integrating Facial Recognition Technology in IndoAI App with eKYC Case Study & Future of AI Cameras in Banking","authors":"Vivek Gujar","doi":"10.21275/sr231108193207","DOIUrl":null,"url":null,"abstract":": IndoAI'seKYC solution, powered by its Facial Recognition Technology, not only simplifies and accelerates the identity verification process for banks but also enhances security and accuracy. By integrating cutting - edge technology with seamless user experience, banks can provide their customers with a secure and convenient way to update their eKYC details, setting new standards for digital identity verification in the financial sector. A case study is discussed where IndoAI's cutting - edge application utilizes Facial Recognition Technology (FRT) to transform verification system, providing customers with a smooth, secure, and streamlined method to update their eKYC details. By eliminating the requirement for physical paperwork and automating the verification process, IndoAI's solution establishes a groundbreaking benchmark for speed and precision in the banking sector. The future promises the integration of AI cameras into the eKYC ecosystem.","PeriodicalId":87283,"journal":{"name":"International journal of science and research methodology","volume":"19 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of science and research methodology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21275/sr231108193207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

: IndoAI'seKYC solution, powered by its Facial Recognition Technology, not only simplifies and accelerates the identity verification process for banks but also enhances security and accuracy. By integrating cutting - edge technology with seamless user experience, banks can provide their customers with a secure and convenient way to update their eKYC details, setting new standards for digital identity verification in the financial sector. A case study is discussed where IndoAI's cutting - edge application utilizes Facial Recognition Technology (FRT) to transform verification system, providing customers with a smooth, secure, and streamlined method to update their eKYC details. By eliminating the requirement for physical paperwork and automating the verification process, IndoAI's solution establishes a groundbreaking benchmark for speed and precision in the banking sector. The future promises the integration of AI cameras into the eKYC ecosystem.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
IndoAI App中人脸识别技术与eKYC集成案例研究AI相机在银行业的未来
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Era of Great Powers and the National Security of India Gender Inclusive Approaches to Tackle Gender Stereotypes, Prevent Violences and Promote Caring Masculinities A Cross Sectional Study on the Association of Co-Morbidities and Addictions with Sleep Disorders in Computer Professionals Integrating Facial Recognition Technology in IndoAI App with eKYC Case Study & Future of AI Cameras in Banking The Proton's Electric Charge at the Atomic Nucleus Depends to the Rotational Motion of a Corresponding Electron in the Atom
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1