Robot Apprentice in Supervision of Diabetes using Raspberry-Pi
Naveen B1, Kavya N U2, Bhavya V S3, Gowda Sudharani Gangadhar4, Lekhashree M K5
1Dr. Naveen B, Associate Professor, BGSIT, (Karnataka), India.
2Kavya N U, Pursuing Bachelor, Department of Engineering Electronics and Communication Engineering, BGS Institute of Technology, Javarana Hally, (Karnataka), India.
3Bhavya V S, Pursuing Bachelor, Department of Engineering Electronics and Communication Engineering, BGS Institute of Technology, Javarana Hally, (Karnataka), India.
4Gowda Sudharani Gangadhar, Pursuing Bachelor, Department of Engineering Electronics and Communication Engineering, BGS Institute of Technology, Javarana Hally, (Karnataka), India.
5Lekhashree M K, Pursuing Bachelor, Department of Engineering, Electronics and Communication Engineering, BGS Institute of Technology, Javarana Hally, (Karnataka), India.
Manuscript received on 21 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 27 June 2019 | PP: 130-133 | Volume-8 Issue-1C May 2019 | Retrieval Number: A10230581C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This work presents an innovative health proposal that includes a robot support system to emerge multifaceted concern move towards for the healing of diabetes. The structural design of the platform enlarges the internet of things to a web centric concept in the course of utilizing active web standards to contact and manage objects of the physical layer. This work presents a set of facilities for patients. The platform’s software architecture prototype allows the growth of different applications without deliberating low-level information of the platform. A completely efficient prototype is developed and its end-to-end working and acceptability are tested prosperously and providing support that patients and doctors are accessible to the beginning of the projected platform.
Keywords: Raspberry Pi, Server, Health, Diabetes, Stepper Motor, Insulin Reservoir, IoT, ULN, and Keypad.
Scope of the Article: Autonomous Robots