International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Case Studies | Computer Engineering | Volume 12 Issue 11, November 2023 | Pages: 711 - 716 | India


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

Vivek Gujar

Abstract: IndoAI's eKYC 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.

Keywords: eKYC, Aadhar, IndoAI, AI Camera, Facial Recognition System, Verification

How to Cite?: Vivek Gujar, "Integrating Facial Recognition Technology in IndoAI App with eKYC Case Study & Future of AI Cameras in Banking", Volume 12 Issue 11, November 2023, International Journal of Science and Research (IJSR), Pages: 711-716, https://www.ijsr.net/getabstract.php?paperid=SR231108193207, DOI: https://dx.doi.org/10.21275/SR231108193207

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