Vol. 3 No. 1 (2024): International Journal of Automation and Digital Transformation
Articles

ARIF: Autonomous Recognition in the Field Enhancing National Security with Computer Vision-Based Facial Recognition

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  • Abubakr Osman

Published 2024-01-16

Keywords

  • biometrics,
  • facial recognition,
  • AI,
  • ML,
  • Computer Vision,
  • Identification,
  • National Security,
  • Security,
  • Homeland Security,
  • Siamese Neural Networks,
  • Convolutional Neural Networks
    • ...More
    Less

Copyright (c) 2024 International Journal of Automation and Digital Transformation

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

ARIF: Autonomous Recognition in the Field Enhancing National Security with Computer Vision-Based Facial Recognition. (2024). International Journal of Automation and Digital Transformation, 3(1), 19-43. https://doi.org/10.54878/z68s0z54

Abstract

Through a novel research approach that employs a mix of Convolutional Neural architectures & Siamese Neural Nets, we propose a viable mechanism that focuses on leveraging these groundbreaking advancements, through the utilization of deep learning algorithms we were able to effectively & accurately identify and authenticate individuals based on unique facial features derived from machine learnt embeddings. In The ARIF Project we implement the proposed architecture models through utilization of developer friendly modules like the python facial recognition library, the OpenCV framework & Jupiter Notebooks, performing the necessary product development, market research and product analysis throughout the development process, finally deliver a refined & minimalistic solution that not only fills market gaps but also serves as a solid foundation for rapid adoption & deployment.

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