IoT-based smart locker security with speech recognition

Mohd Nizar, Luqman Danial and Zamzuri, Zainal Fikri and Mangshor, Nur Nabilah (2025) IoT-based smart locker security with speech recognition. Progress in Computer and Mathematics Journal (PCMJ), 3. pp. 367-381. ISSN 3030-6728

Official URL: https://fskmjebat.uitm.edu.my/pcmj/

Abstract

The IoT-based smart locker security system with speech recognition functions as an advanced solution to boost environmental security together with convenience across university dormitories and public transportation stations and commercial locations. Users benefit from an Arduino-based system which combines speech recognition to replace conventional key or keypad methods for opening their designated lockers. Users can access the system securely through voice command validation with real-time IoT alert communications. The project uses a variant of the waterfall methodology which guides development through stages starting from system design all the way to implementation testing then evaluation. The incorporation of speech recognition software enhances security as it provides users with a hassle-free experience. Review results show this system delivers enhanced locker security capabilities which support its suitability for general adoption by various organizations. The future development should concentrate on bettering speech recognition precision while adding stronger security functions to enhance total robustness.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mohd Nizar, Luqman Danial
2022783135@student.uitm.edu.my
Zamzuri, Zainal Fikri
zfikri@uitm.edu.my
Mangshor, Nur Nabilah
nurnabilah@uitm.edu.my
Subjects: Q Science > Q Science (General) > Back propagation (Artificial intelligence)
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Wireless communication systems. Mobile communication systems. Access control
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Detectors. Sensors. Sensor networks
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Progress in Computer and Mathematics Journal (PCMJ)
ISSN: 3030-6728
Volume: 3
Page Range: pp. 367-381
Keywords: Arduino, Speech recognition, Locker, Security
Date: November 2025
URI: https://ir.uitm.edu.my/id/eprint/127991
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