AI Face-Capture for First-time Passport Application

MD ABDUL BASET SARKER; Masudul H. Imtiaz

doi:10.20944/preprints202406.0392.v1

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preprints.org > engineering > electrical and electronic engineering > doi: 10.20944/preprints202406.0392.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

AI Face-Capture for First-time Passport Application

MD ABDUL BASET SARKER

and

Masudul H. Imtiaz

Version 1 : Received: 5 June 2024 / Approved: 6 June 2024 / Online: 7 June 2024 (02:43:08 CEST)

How to cite: SARKER, M. A. B.; Imtiaz, M. H. AI Face-Capture for First-time Passport Application. Preprints 2024, 2024060392. https://doi.org/10.20944/preprints202406.0392.v1 SARKER, M. A. B.; Imtiaz, M. H. AI Face-Capture for First-time Passport Application. Preprints 2024, 2024060392. https://doi.org/10.20944/preprints202406.0392.v1

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MDPI and ACS Style

SARKER, M. A. B.; Imtiaz, M. H. AI Face-Capture for First-time Passport Application. Preprints 2024, 2024060392. https://doi.org/10.20944/preprints202406.0392.v1

APA Style

SARKER, M. A. B., & Imtiaz, M. H. (2024). AI Face-Capture for First-time Passport Application. Preprints. https://doi.org/10.20944/preprints202406.0392.v1

Chicago/Turabian Style

SARKER, M. A. B. and Masudul H. Imtiaz. 2024 "AI Face-Capture for First-time Passport Application" Preprints. https://doi.org/10.20944/preprints202406.0392.v1

Abstract

This paper presents the development and implementation of a Pan-Tilt-Zoom (PTZ) camera interfaced with a Jetson processor hosting Artificial Intelligence (AI) algorithms, designed to address the challenges of traditional biometric capture for first-time passport photos of young children. The system enhances the accuracy, efficiency, and adaptability of facial biometric capture by recognizing and accommodating the dynamic and diverse behaviors of children. Utilizing AI, the system detects faces and analyzes facial features using 68 landmark points, ensuring high-quality images that meet ISO standards. These technical specifications, implementation process, and performance evaluations of the developed system are provided in this paper, demonstrating the potential of the proposed AI Face-Capture to advance biometric identification and verification for young children.

Keywords

Pan-Tilt-Zoom (PTZ) Camera; Jetson Processor; Artificial Intelligence (AI); Biometric Capture; Face Detection; Passport Photos; Young Children

Subject

Engineering, Electrical and Electronic Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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