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August 1, 2025IAES International Journal of Artificial IntelligenceOpen Access

Enhancing touchless smart locker systems through advanced facial recognition technology: a convolutional neural network model approach

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Authors

ARAbdul Haris RangkutiETEvawaty TanuarFYFebriant Yapson

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Overview

Technological enhancements improve security and convenience in touchless locker systems, indicating widespread applications.

Key Points

  • The system achieves a recognition accuracy of 96% and 90% using advanced facial recognition technologies.
  • Key metrics show improvements in security and convenience through the use of touchless technology in public lockers.
  • Assessment utilizing convolutional neural networks ensures effective facial detection and minimal physical contact.
  • Advancements highlight the need for future investigations into the effects of photo age on recognition accuracy.

Cite This Study

Rangkuti et al. (2025) studied this question.

synapsesocial.com/papers/68af59e3ad7bf08b1eadeeedhttps://doi.org/10.11591/ijai.v14.i4.pp3262-3273
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