Drowsiness Detection of Construction Workers: Accident Prevention Leveraging Yolov8 Deep Learning and Computer Vision Techniques

Drowsiness Detection of Construction Workers: Accident Prevention Leveraging Yolov8 Deep Learning and Computer Vision Techniques

Construction projects’ unsatisfactory performance has been linked to factors influencing individuals’ well-being and mental alertness on projects. Drowsiness is a significant indicator of sleep deprivation and fatigue, so being able to identify the cognitive and physical preparedness of workers on s...

Full description

Saved in:
Bibliographic Details
Main Authors: Adetayo Olugbenga Onososen, Innocent Musonda, Damilola Onatayo, Abdullahi Babatunde Saka, Samuel Adeniyi Adekunle, Eniola Onatayo
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Buildings
Subjects:
construction
deep learning
drowsiness
construction safety
computer vision
accident
Online Access:https://www.mdpi.com/2075-5309/15/3/500
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items