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Khadafi, Muhamad
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Automotive Engineering Computer Science & IT Control & Systems Engineering

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Design of a Guest Face Detection Tool Using ESP32-CAM Based on Internet of Things (IoT) Khadafi, Muhamad; Pardede, A M H; Sembiring, Hermansyah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.578

Abstract

This research develops an Internet of Things (IoT)-based guest face detection tool using ESP32-CAM to create a digital guestbook archive. The device distinguishes between guests and employees, with employee face data stored in a GitHub repository. When the device detects an unfamiliar guest face, a notification and photo are sent to a Telegram bot. If an employee's face is detected, a notification of the employee's name is sent to the Telegram bot. The method used is prototyping and the test results show that this tool is effective in detecting and digitally archiving guest visits.
Co-Authors Pardede, Akim Manaor Hara Sembiring, Hermansyah