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  Published Paper Details:

  Paper Title

System and Method for Virtual Boundary Detection and Warning of Safety Zone Violations in Construction and Industrial Environments

  Authors

  Sonia Maria D’Souza,  Sahil Salhaj,  Yashas M Shetty,  Siddarth Srinivas,  Vaibhav Vemani, Suraj Vijay

  Keywords

Virtual Safety Zones, Computer Vision, YOLOv5, Real-Time Monitoring.

  Abstract


Workplace safety, particularly in construction and industrial places, is a critical concern due to the high risks faced by the workers in the hazardous zones. To address these challenges, our study introduces a computer vision based system for virtual border identification and safety monitoring. Using real-time object detection algorithm YOLOv5, the system tracks human movements and monitors proximity to danger zones by overlaying virtual boundaries on live video streams. It instantly detects safety violations, triggering visual and audible alarms while notifying supervisors, and significantly reducing the chance of any accidents.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTBE02124

  Paper ID - 289359

  Page Number(s) - 965-970

  Pubished in - Volume 13 | Issue 7 | July 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sonia Maria D’Souza,  Sahil Salhaj,  Yashas M Shetty,  Siddarth Srinivas,  Vaibhav Vemani, Suraj Vijay,   "System and Method for Virtual Boundary Detection and Warning of Safety Zone Violations in Construction and Industrial Environments", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 7, pp.965-970, July 2025, Available at :http://www.ijcrt.org/papers/IJCRTBE02124.pdf

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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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