Wireless IoT Smart Door Lock Using Viola-Jones Face Detection Technique

  • Samsiah Ahmad Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia
  • Muhammad Farhan Ramli First Solar Boulevard (Jalan Hi-Tech 11),Zon Industri Fasa 3, Kulim Hi-Tech Park, 09090, Kulim Kedah Darul Aman, Malaysia.
  • Zalikha Zulkifli Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia
  • Lily Marlia Abdul Latif Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia

Abstract

Technology in Industrial revolution 4.0 has rapidly changed with the advancement technology developments, including the technology of
Internet of Things (IoT). With IoT, different types of data either structured or unstructured can be collected and transferred over the
Internet that attracted researchers to conduct various empirical studies on automation of home security environment mainly with intelligence
system. This project highlights a face detection of smart door lock system based on Viola-Jones technique. The fundamental system
design, implementation of hardware and software as well as the data collection and processing techniques are described in this paper. The
prototype of the wireless IoT Smart Door Lock based on Viola-Jones face detection technique has been tested and the accuracy of
classification at different face angles (front, left, right, top, down) were recorded and also presented in this paper. The results show that Viola-
Jones algorithm has achieved 88% of average accuracy on the complete faces classification.

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Published
2020-11-21
How to Cite
AHMAD, Samsiah et al. Wireless IoT Smart Door Lock Using Viola-Jones Face Detection Technique. Mathematical Sciences and Informatics Journal, [S.l.], v. 1, n. 2, p. 70-76, nov. 2020. ISSN 2735-0703. Available at: <https://myjms.mohe.gov.my/index.php/mij/article/view/14195>. Date accessed: 07 dec. 2022. doi: https://doi.org/10.24191/mij.v1i2.14195.
Section
Articles

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