Published: 2025-12-01

Implementation of Haar Cascade and K-Nearest Neighbors (KNN) Face Recognition for Optimizing Warehouse Access Control Security

DOI: 10.35870/ijsecs.v5i3.5244

Dadang Iskandar Mulyana, Muhammad Adri Ramadhan
  • Dadang Iskandar Mulyana: Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
  • Muhammad Adri Ramadhan: Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
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Abstract

Warehouse facility access control security represents a critical factor in maintaining operational integrity and preventing criminal activities. This research addresses the elevated security threat risks associated with physical surveillance systems that continue to rely on manual methods with suboptimal performance. The study develops an automated security system based on face recognition technology, implementing Haar Cascade and K-Nearest Neighbors Classifier methods to identify and verify warehouse user identities with precision and automation. The research object focuses on facial recognition systems for warehouse access control. The methodology applies Haar Cascade algorithms for facial detection and K-Nearest Neighbors Classifier for classifying detected faces against existing datasets. Implementation utilizes external webcams, computer hardware, and Python-based programming software. Results demonstrate that the developed system achieves facial recognition accuracy exceeding 90%, delivering superior security performance compared to manual systems. The research concludes that face recognition technology effectively enhances efficiency and security in warehouse access management. The study recommends implementing such systems in large-scale warehouse facilities to optimize security management protocols

Keywords

Security ; Face Recognition ; Haar Cascade ; K-Nearest Neighbors Classifier ; Access Control

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Mulyana, D. I., & Ramadhan, M. A. (2025). Implementation of Haar Cascade and K-Nearest Neighbors (KNN) Face Recognition for Optimizing Warehouse Access Control Security. International Journal Software Engineering and Computer Science (IJSECS), 5(3), 974-987. https://doi.org/10.35870/ijsecs.v5i3.5244
Article Information

This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 5 No. 3 (2025)

  • Section: Articles

  • Published: %750 %e, %2025

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Author Biographies
Dadang Iskandar Mulyana
Google Scholar ResearchGate ORCID

Information Systems Study Program, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, East Jakarta City, Special Capital Region of Jakarta, Indonesia

Muhammad Adri Ramadhan
Google Scholar ResearchGate ORCID

Information Systems Study Program, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, East Jakarta City, Special Capital Region of Jakarta, Indonesia

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