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  Published Paper Details:

  Paper Title

PREDICTING SAFETY HAZARDS AMONG CONSTRUCTION WORKERS USING HAAR CASCADE METHOD

  Authors

  Megha P,  Anitha Babu

  Keywords

Construction Industry, Relative Importance Index, Safety Management, Influencing Index

  Abstract


Abstract: The construction industry plays a significant role in the social and economic development in our country. Safety in the construction industry is considered as the major issue in the development and developing countries. The construction sector suffers recently from poor safety and health condition. As safety rules do not exists and work hazards at the workplace are not perceived. By implementing safety management is to promote working conditions and work practices that will assure all employees of a safe and healthful work environment for all construction activities. The construction industry has always been considered as one of the most dangerous industrial sectors the construction industry is one of the most hazardous industries suffering from high on-site accident rate. A lot of safety hazards result from the activities of construction workers. The major objective of the project is to identify various factors affecting safety management at construction industry. A literature review and factors recommended by experts in different areas of interest were considered to categorize the factors. 10 different factors were identified. Identifying the danger zones using Haar- cascade algorithm. Based on the detection workers are identified from the danger zones.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2209203

  Paper ID - 224744

  Page Number(s) - b557-b565

  Pubished in - Volume 10 | Issue 9 | September 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Megha P,  Anitha Babu,   "PREDICTING SAFETY HAZARDS AMONG CONSTRUCTION WORKERS USING HAAR CASCADE METHOD", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 9, pp.b557-b565, September 2022, Available at :http://www.ijcrt.org/papers/IJCRT2209203.pdf

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


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