Helmet Detection on Construction site using AI
Author(s):
Muskan Chourasia, Monika Bhandakkar, Laxmi Thakare, Dnyaneshwari Mendhe, Nehal Mane, C.U.Chauhan
Keywords:
Helmet detection, AI system, Deep learning, Accident preventions.
Abstract
The ordinary security defensive cap wearing affirmation is simply established on the overshadowing, shape, surface and various characteristics of the image, which is remarkably affected by the external environment, and has the issue of unstable affirmation accuracy. Considering the above issues, this paper focuses on the affirmation procedure for power improvement worker's security head defender subject to man-made intellectual ability development. Resulting to pre-handling the improvement actually taking a look at picture, for instance, becoming Gray and denoising, the advancement work force in the ID picture are found, that is to say, in light of perceiving the improvement staff district, the head position of the advancement personnel is found, finally the prosperity defensive cap wearing affirmation is recognized by using YOLO computation. The re-establishment results show that the typical affirmation precision is 95.2%, the affirmation sway is consistent and has extraordinary generosity.
Article Details
Unique Paper ID: 154790

Publication Volume & Issue: Volume 8, Issue 12

Page(s): 446 - 450
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies