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Case Studies | Computer Engineering | India | Volume 12 Issue 11, November 2023 | Popularity: 5.3 / 10
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
Edition: Volume 12 Issue 11, November 2023
Pages: 711 - 716
DOI: https://www.doi.org/10.21275/SR231108193207
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Computer Engineering, India, Volume 9 Issue 1, January 2020
Pages: 381 - 386Machine Learning Algorithms - A Review
Batta Mahesh
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Computer Engineering, India, Volume 9 Issue 5, May 2020
Pages: 597 - 602Python Tools for Big Data Analytics
Lt Col Rahul Dutt Sharma
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Computer Engineering, India, Volume 9 Issue 3, March 2020
Pages: 488 - 491Dog Breed Identification Using Convolution Neural Network and Web Scraping
Mohamed Sultan M, Naveen S, Praveen Kumar C, Arun Manicka Raja M
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Computer Engineering, Iraq, Volume 9 Issue 3, March 2020
Pages: 529 - 532Implementation of Run Length Encoding Using Verilog HDL
Hayder Waleed Shnain, Mohammed Najm Abdullah, Hassan Awheed Jeiad
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Computer Engineering, Iraq, Volume 9 Issue 5, May 2020
Pages: 288 - 292Deep Learning-based Deaf & Mute Gesture Translation System
Azher Atallah Fahad, Hassan Jaleel Hassan, Salma Hameedi Abdullah