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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM23389

Automatic Human Following Trolley using Raspberry pi

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM23389

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BDR

Bapoo Dajiba Raut

RBS

Rajesh Bipin Singh

RSS

Rutuja Shivaraj Shette

NNK

Nikita Naresh Khadse

PSSG

Prof. S. S. Gadekar

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Abstract

This paper represents the human following trolley using a raspberry pi. Our project focuses on developing an intelligent trolley that possesses the ability to autonomously navigate and evade obstacles, while also establishing interaction and communication with a designated individual. The primary objective is to design and construct a robot that not only tracks the target person but also advances towards them, taking care to avoid any obstacles encountered during the tracking process. To streamline this operation, we have incorporated a unique tag system, which is affixed to the person to be followed by the trolley. A compact Raspberry Pi camera continuously captures images of the distinct tag, comparing them to the original reference image. Upon successful matching, the trolley proceeds further, while simultaneously utilizing ultrasonic sensors to circumvent any obstacles in its path. The tag serves as a crucial element in ensuring uniqueness and simplifying the overall task. The mechanical structure of the trolley has been thoughtfully designed, and electrical components are employed to enable its functionality. All computational processing is carried out using a Raspberry Pi platform.

KEYWORDS

Raspberry Pi Ultrasonic Sensor Pi Camera Motor Motor driver.

Cite This Article

Bapoo Dajiba Raut, Rajesh Bipin Singh, Rutuja Shivaraj Shette, Nikita Naresh Khadse, Prof. S. S. Gadekar, "Automatic Human Following Trolley using Raspberry pi," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023.

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Publication Date

10/5/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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