International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
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Quality Circle Approach Equipped with AI to Solve the Issue of Stray Cattle Detection and Identification in Small Cities to Avoid Accidents
Author(s) | Raj Kumar, Ankur |
---|---|
Country | India |
Abstract | The quality circle (QC) approach through its various problem identification tools has got the fame by solving several issues in Industries as well as in-service sectors. The present paper is focused on the issue of stray cattle roaming here and there and contributing to scattered trash, fatal accidents, and road blockings in various cities of India. To understand and identify the actual reasons this work is carried out and solutions have been proposed for a small town of Haryana. The quality circle was established with an aim to sort out the issue only with all the available resources like CCTV cameras, GOSHALAS, and social workers. The authors adopted a qualitative approach with a micro-level study for a small town. The quality circle approach equipped with Artificial Intelligence has been chosen to sort out the Stray cattle detection and identification issue to resolve the problem of scattered trash, fatal accidents, road blockings, and saving valuable lives of humans and animals. Keywords - Quality Circle, Artificial Intelligence, Stray Cattle detection, and recognition. |
Keywords | Quality Circle, Artificial Intelligence, Stray Cattle detection, and recognition. |
Field | Engineering |
Published In | Volume 5, Issue 4, July-August 2023 |
Published On | 2023-08-08 |
Cite This | Quality Circle Approach Equipped with AI to Solve the Issue of Stray Cattle Detection and Identification in Small Cities to Avoid Accidents - Raj Kumar, Ankur - IJFMR Volume 5, Issue 4, July-August 2023. DOI 10.36948/ijfmr.2023.v05i04.5112 |
DOI | https://doi.org/10.36948/ijfmr.2023.v05i04.5112 |
Short DOI | https://doi.org/gskxdk |
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E-ISSN 2582-2160
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