Paper Title
DEVELOPMENT OF IoT BASED HOME ASSISTANT ROBOT FOR ELDERLY PEOPLE
Article Identifiers
: Keywords
Internet of things (IOT), Face Recognition, Machine learning, Image processing, Application control, Gesture control, Voice control.
Abstract
As the global population ages and more people choose to live on their own, there's a pressing need for smart home monitoring systems. Many elderly individuals live independently, but for those dealing with cognitive decline, it can be quite challenging and even risky. This project introduces a moving robotic vehicle equipped with person-detection capabilities that navigates towards individuals, delivering medications at specified intervals. The proposed robotic vehicle model will feature a video camera setup along with a microphone for comprehensive monitoring. The project aims to provide not only medication delivery but also companionship and assistance to individuals in need. Control of the vehicle will be facilitated through hand gestures and voice commands, making it accessible and user-friendly. Key to its functionality will be face recognition technology, enabled by machine learning algorithms driven by computer vision and image processing techniques. The entire system will be designed to operate on a Raspberry Pi 3B platform, ensuring efficiency and flexibility. To ensure continuous operation, the vehicle will be powered by a rechargeable battery providing uninterrupted service to users.
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How To Cite (APA)
P. Sadhana Lalitha, T. Harshitha, V. Sai Sri Nikhita, K. Rakesh, & Dr. Satyanarayana Moturi (April-2024). DEVELOPMENT OF IoT BASED HOME ASSISTANT ROBOT FOR ELDERLY PEOPLE. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), g752-g759. https://ijnrd.org/papers/IJNRD2404694.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : g752-g759
Other Publication Details
Paper Reg. ID: IJNRD_219701
Published Paper Id: IJNRD2404694
Downloads: 000122006
Research Area: Electronics & Communication Engg.Â
Author Type: Indian Author
Country: Vizianagaram, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404694.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404694
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