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All Journal Journal of Global Engineering Research & Science (J-GERS)
Legenda Prameswono Pratama
Department of Electrical Engineering, Faculty of Engineering and Computer Science, Jakarta Global University, 16412, Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Environmental Science

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IoT-Based Locker Lock Security Using YOLO Facial Recognition Legenda Prameswono Pratama; Sinka Wilyanti; Naufal Eka Putra
Journal of Global Engineering Research and Science Vol. 5 No. 1 (2026): Vol. 5 No. 1 (June 2026): Journal of Global Engineering Research & Science (J-G
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/j-gers.v5i1.201

Abstract

The increasing demand for secure and intelligent storage systems has encouraged the development of biometric-based authentication technologies. This study presents the design and implementation of a smart locker security system based on facial recognition using the YOLO (You Only Look Once) algorithm integrated with an ESP32-CAM module and IoT communication. The system was developed to provide automated user authentication and remote locker control through real-time face detection and recognition. Performance evaluation was conducted by analyzing face detection accuracy, authentication response time, and network communication quality under different distances and lighting conditions. Experimental results showed that the YOLO-based system achieved a a face detection success rate of up to 92% under both bright-light and low-light environments at distances of 30 cm and 100 cm. The detection error ranged from 2.60% to 4.30%, indicating stable and reliable detection performance. Authentication testing revealed that the system performed optimally at 30 cm, with response times ranging from 1.47 s to 2.56 s and error rates below 1.2%. At 100 cm, the response time increased to approximately 9–10 s, accompanied by higher error rates due to reduced facial feature visibility. In addition, network performance evaluation based on latency, packet loss, and throughput demonstrated reliable Wi-Fi communication between the ESP32-CAM and the server, ensuring smooth data transmission during authentication and locker control operations. The results confirm that the YOLO algorithm is effective for real-time facial recognition applications and can be successfully implemented in smart locker security systems. The proposed system provides accurate authentication, reliable communication, and enhanced security, making it suitable for practical access-control applications.
Home Security System Based on Raspberry Pi and PIR Sensor Using WhatsApp Messenger Patrick Kristo Prayogo; Legenda Prameswono Pratama; Devan Junesco
Journal of Global Engineering Research and Science Vol. 4 No. 1 (2025): Vol. 4 No. 1 (June 2025): Journal of Global Engineering Research & Science (J-G
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/j-gers.v4i1.134

Abstract

Home security is a crucial factor for everyone to protect property and ensure the safety of their family. Along with technological advancements, home security systems have evolved from simple mechanisms to sophisticated devices integrated with the Internet of Things (IoT). One of the widely used technologies in such systems is the Raspberry Pi, a small, affordable, and flexible computer capable of controlling other devices through its General Purpose Input/Output (GPIO) pins. The Passive Infrared (PIR) sensor also plays a vital role in home security systems due to its ability to detect human movement by sensing changes in infrared radiation emitted by the human body. By utilizing PIR sensors, security systems can detect motion inside or around the house, potentially indicating threats such as burglary attempts. In addition, fast and efficient communication is essential in security systems. WhatsApp Messenger, as one of the most popular instant messaging applications, offers convenience in sending alerts or notifications directly to the user’s device. The integration of Raspberry Pi, PIR sensors, and WhatsApp Messenger can create a home security system that is not only cost- effective but also capable of delivering real-time notifications to homeowners. By combining Raspberry Pi and PIR sensors with WhatsApp as a communication medium, the system offers advantages in cost, ease of installation, and efficiency in delivering alerts without requiring additional complex hardware. Therefore, this research aims to design and implement a Raspberry Pi and PIR sensor-based home security system with notifications sent via WhatsApp Messenger.
Co-Authors Devan Junesco Naufal Eka Putra Patrick Kristo Prayogo Sinka Wilyanti