Jyothis JS,
Lakshmi,
Kannan S,
Akash V,
Justin Jose,
- Student Electrical and Electronics Engineering, College of Engineering Perumon, Kollam Kerala India
- Student Electrical and Electronics Engineering, College of Engineering Perumon, Kollam Kerala India
- student Electrical and Electronics Engineering, College of Engineering Perumon, Kollam Kerala India
- Student Electrical and Electronics Engineering, College of Engineering Perumon, Kollam Kerala India
- Student Electrical and Electronics Engineering, College of Engineering Perumon, Kollam Kerala India
Abstract
Escalating problems arise mainly at hospitals due to transmission of microbes through air, which causes life threatening situations. Doctors, nurses and other members are more vulnerable to diseases from within the place. PPE kits and other disinfecting procedures require an in-human presence to do the work, which makes it more challenging and puts the person’s life at risk. In current scenarios, human presence is required for sanitising and cleaning procedures, which makes them prone to infections. Thus a novel autonomous disinfection system is proposed to detect and disinfect the pathogens by inco-operating an autonomous robotic system for hospitals. The autonomous robotic system utilises a visual SLAM algorithm for navigation and mapping. It maps all user locations (beds of Patients). Initially the robot autonomously navigates to first location and Raspberry Pi Controller along with ultrasonic sensors ensures collision free movement. At the user location, Robotic arm with a camera is used to collect images of patients’ beds. The presence of pathogens can be determined by analysing the grey scale images using image process technology. Then the microbes are disinfected by UV-C lights and sprayers stored in the body of the robot. The servo motors help to move the robotic arm in a user defined manner.with the servo motor. The imaging technology along with autonomous control of the robotic system enhances its ability to detect the infection threats with accuracy and ensure targeted and effective disinfection
Keywords: Robotic, path planning ,image processing , mobile robot ,decision making
[This article belongs to Journal of Mechatronics and Automation(joma)]
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