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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah JURNAL IT: Media Infromasi STMIK Handayani Makassar Jurnal Onoma: Pendidikan, Bahasa, dan Sastra E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Technology Research in Information System and Engineering Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Rekayasa elektrika
Jura, Suwatri
STMIK Handayani Makassar
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media

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Integration of Multi-Modal Sensors and Robot Arm Vision for Monitoring and Assisting Elderly Activities Jura, Suwatri; Jalil, Abdul
Jurnal Rekayasa Elektrika Vol 21, No 1 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i1.41273

Abstract

This research aims to develop an integration device combining Multi-Modal Sensors and Robot Arm Vision (MMS-RAV) for monitoring activities and assisting in healthcare services for the elderly at home. The method used to develop this device involves integrating MMS, which consists of PIR sensors for detecting the presence of the elderly, LDR sensors for detecting home light conditions, fire sensors for detecting flames, and DHT11 sensors for measuring temperature and humidity. Additionally, the RAV component assists and supports the activities of the elderly and includes a camera for vision-based object detection, ultrasonic sensors for robot navigation, Raspberry Pi as the data processing center, an arm for object retrieval and camera movement, LCD for displaying messages, omni-wheels for robot navigation, and buzzer for early warnings in case of anomalous conditions with the elderly. In this research, MMS functions to monitor elderly activities, while RAV supports healthcare services for the elderly, particularly in medication intake using image processing techniques. The software used to control the entire MMSRAV system is the robot operating system. The results of this study indicate that the developed MMS-RAV device is effective for monitoring elderly activities and assisting in providing healthcare services for medication intake.
Co-Authors Abdul jalil Abdul Rochman Billy Eden William Asrul Fuari Anatasya, A. Edeth Jefry Samuel JUSMAN, HERY ILHAMSYAH Muhammad Akbar Muhammad Akbar Muhammad Firman Najirah Umar Nurfaedah Nurmadinah, Nurmadinah Yundari, Yundari Zuhriyah, Sitti