Design and Implementation of Smart Wheel Chair Using Raspberry-Pi

Authors

  • K. Sandhya sri, Dr. K.B.S.D. Sarma, Dr.A Pravin, Dr. K Rajasekhar

DOI:

https://doi.org/10.17762/msea.v71i4.843

Abstract

Strolling freely is a significant variable in keeping up with the physical and psychological wellness of every person. Likewise, for individuals with handicaps/grown-ups, strolling autonomously builds work and instructive freedoms, decreases reliance on parental figures and relatives, and advances sensations of confidence. Mentally, reduced versatility might cause sensations of enthusiastic misfortune, nervousness, melancholy, learned confidence, social disengagement, stress, and dread of dismissal. Regardless of whether the advantages of dynamic portability are very much archived, security issues identified with the presentation of dynamic vehicles regularly keep doctors and specialists from recapturing control of dynamic versatility. As a result, we are showcasing a smart car for the elderly and disabled that makes use of a variety of sensors to aid in the creation of a vehicle with minimal human involvement. The suggested framework's capabilities are enhanced by connecting the Android interface to the car through Bluetooth.

The point is to make the framework more dependable and simpler with the assistance of AI we can prepare information up to our need. The framework turns out impeccably for the individuals who can discuss impermanent head support we can record data and train data that can make activity more straightforward lastly individuals with handicaps can not rest by going to beds where with the assistance of motors we can undoubtedly extend a wheelchair. The entire interaction is finished with the assistance of Raspberry-pi innovation.

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Published

2022-09-19

How to Cite

K. Sandhya sri, Dr. K.B.S.D. Sarma, Dr.A Pravin, Dr. K Rajasekhar. (2022). Design and Implementation of Smart Wheel Chair Using Raspberry-Pi. Mathematical Statistician and Engineering Applications, 71(4), 2821–2832. https://doi.org/10.17762/msea.v71i4.843

Issue

Section

Articles