AI Face-Capture for First-time Passport Application Article Swipe

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Md Abdul Baset Sarker , Masudul H. Imtiaz ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.20944/preprints202406.0392.v1

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.

Related Topics

Landmark

Computer Science

Biometrics

Artificial Intelligence

Process (Computing)

Facial Recognition System

Petroleum Engineering

Philosophy

Social Science

Concepts

Landmark Computer science Adaptability Biometrics Artificial intelligence Face (sociological concept) Process (computing) Facial recognition system Zoom Identification (biology) Computer vision Quality (philosophy) Pattern recognition (psychology) Engineering Operating system Sociology Ecology Epistemology Botany Biology Lens (geology) Petroleum engineering Philosophy Social science

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Type: preprint
Language: en
Landing Page: https://doi.org/10.20944/preprints202406.0392.v1
PDF: https://www.preprints.org/manuscript/202406.0392/v1/download
OA Status: green
References: 11
Related Works: 10
OpenAlex ID: https://openalex.org/W4399436117

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DOI: https://doi.org/10.20944/preprints202406.0392.v1

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Title: AI Face-Capture for First-time Passport Application

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Language: en

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Publication year: 2024

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Publication date: 2024-06-07

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Authors: Md Abdul Baset Sarker, Masudul H. Imtiaz

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Landing page: https://doi.org/10.20944/preprints202406.0392.v1

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Concepts: Landmark, Computer science, Adaptability, Biometrics, Artificial intelligence, Face (sociological concept), Process (computing), Facial recognition system, Zoom, Identification (biology), Computer vision, Quality (philosophy), Pattern recognition (psychology), Engineering, Operating system, Sociology, Ecology, Epistemology, Botany, Biology, Lens (geology), Petroleum engineering, Philosophy, Social science

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cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	2
citation_normalized_percentile.value	0.10471125
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False