International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 07 | Jul 2025
p-ISSN: 2395-0072
www.irjet.net
A Vision-Based Smart Medical Robot for Preliminary Health Monitoring Without Physical Interaction Prof.Shweta Biradar1, Swati2, Varsha Pattankar3, Vaishnavi Math4, Sadhana Deshmukh5 1Professor,Electronics and Communication Engineering FETW, Sharnbasva University, Kalaburagi, Karnataka,
India
2-5 Students, Electronics and Communication Engineering FETW, Sharnbasva University, Kalaburagi, Karnataka,
India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract-A smart medical robot is an advanced
The smart medical robot is equipped with a vision-based system and a set of embedded sensors capable of measuring vital health parameters such as body temperature, heart rate, oxygen saturation, and pulse rate. These preliminary assessments are conducted without any physical interaction, thereby minimizing the risk of cross-contamination and optimizing the time spent on initial diagnostics. The robot also supports auxiliary functions such as transporting medical supplies and providing assistance to isolated or home-quarantined patients.Designed using Autodesk Fusion 360 and programmed through the Arduino IDE, the robot represents a practical and scalable solution for modern healthcare institutions. By automating repetitive and basic medical tasks, the system allows medical staff to focus on more critical interventions. This project addresses the increasing demand for contactless technologies in healthcare and demonstrates the potential of robotics to transform patient management, particularly in high-risk and resourceconstrained environments. The implementation of this system contributes to safer, faster, and more reliable healthcare delivery.
technological solution designed to perform contactless preliminary health monitoring of patients, addressing the urgent need for minimizing direct human interaction in healthcare settings. This study focuses on the development of such a robot capable of autonomously assessing vital health parameters including body temperature, heart rate, oxygen saturation, and pulse rate. The primary goal is to reduce the exposure risk faced by healthcare professionals during initial patient evaluations, especially in pandemic scenarios where infectious disease transmission is a concern. Utilizing visionbased systems and embedded sensors, the robot conducts health assessments without physical contact and transmits data in real time to healthcare personnel. Additionally, the robot offers functionalities for patient assistance and delivery of medical supplies within healthcare facilities. This system enhances safety, improves efficiency, and ensures timely medical response, thereby contributing to smarter and safer healthcare infrastructure through automation and intelligent decision-making support.
Keywords: Smart medical robot, contactless health
2. RELATED WORKS
monitoring, vision-based system, preliminary health checkup, vital signs detection, autonomous healthcare, embedded sensors, patient assistance, medical robotics, pandemic response.
[1]Vision-based Human Fall Detection Systems using Deep Learning: A Review by Ekram Alam, Abu Sufian, Paramartha Dutta, Marco Leo in 2022.This study reviews deep learning and computer vision techniques for non-intrusive fall detection, a critical application in eldercare. It analyzes datasets, deep neural networks (e.g. CNNs), and performance metrics used in fall detection systems. The paper discusses challenges such as occlusion and lighting variability, and proposes future directions like multimodal sensing. Its insights into vision-based algorithms and real-time environmental adaptation are highly relevant for designing contactless monitoring in healthcare robotics
1.INTRODUCTION The integration of robotics and intelligent systems in healthcare has become increasingly essential, especially in the context of global health crises. The project focuses on the development of a smart medical robot designed to perform contactless preliminary health checkups for patients. Traditional patient evaluation methods involve close physical contact between doctors and patients, which increases the risk of transmitting infectious diseases, particularly during pandemics such as COVID-19. These manual processes also consume significant amounts of time, delay the treatment of critically ill patients, and contribute to overcrowded healthcare environments. In response to these challenges, the proposed system aims to enhance the safety and efficiency of healthcare services through automation and intelligent monitoring.
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[2]Contactless Electrocardiogram Monitoring with Millimeter Wave Radar by Jinbo Chen et al. in 2021. This paper introduces a millimeter-wave radar system to non-invasively record ECG signals. It bridges mechanical cardiac motion with electrical waveform reconstruction using signal processing and deep learning. Achieving high timing accuracy (≤14 ms) and strong morphological
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