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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Dimensi Teknik Elektro International Journal of Industrial Research and Applied Engineering Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat SinarFe7 Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Teknik Elektro: Ilmu dan Teknologi
Handy Wicaksono
Program Studi Teknik Elektro Universitas Kristen Petra Surabaya
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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A smart door prototype with a face recognition capability Hutomo, Ivan Surya; Wicaksono, Handy
IAES International Journal of Robotics and Automation (IJRA) Vol 11, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v11i1.pp1-9

Abstract

This research aimed to integrate a face recognition capability in a smart door prototype. By using a camera-based face recognition, the house owner does not need to make physical contact to open the door. Avoid physical contact is important due to the coronavirus disease 2019 (COVID19) pandemic. Raspberry Pi 3B was used as the main controller, while a servo motor was utilized as a locking door actuator. The program was developed using Node-RED, Blynk, and message queue telemetry transport (MQTT) platforms which are very powerful for developing internet of things (IoT) devices. All of the programs were coded using Python. Haar cascade and local binary pattern histogram methods were implemented on the face recognition stage. Google Assistant integration was done by using Dialogflow and Firebase as Google Cloud services. Integration of face recognition and the smart door was successful. The smart door was unlocked if faces were recognized (average threshold=60%). If a face was not recognized, an email notification containing a face image is sent to the house owner. The Google Assistant could handle user requests successfully with a success rate of 92.8% from 147 trials.
Co-Authors A.A. Ketut Agung Cahyawan W Achmad Jazidie Andrew Wijaya Antoni Susiono Candra, Ranggastika Prahlada Chandra Udayana Claude Sammut Estevanus Kurniawan Pangkong Gondowardoyo, Sean Hafizah Kamarudin, Nazhatul Halim, Jason Handry Khoswanto Handry Khoswanto Hany Ferdinando Hutomo, Ivan Surya Indar Sugiarto Indra Adji Sulistijono Josaphat Pramudijanto Lido Sanmartya Miguel Glennado Mitsuji Sampei Petrus Santoso Pricillia Alvina, Prihastono Prihastono Resmana Lim Rusdhianto Effendi Son Kuswadi Son Kuswadi Son Kuswadi Tience Debora Valentina Tonny Leonard William Sutanto Yefta Noventa Santoso