• Skip to primary navigation
  • Skip to main content
  • About
  • Contact
  • Listserv
  • Facebook
  • Twitter
  • Login/Register
workzonesafety.org

National Work Zone Safety Information Clearinghouse

Library of Resources to Improve Roadway Work Zone Safety for All Roadway Users

  • Crash Information
    • Work Zone Fatal Crashes and Fatalities
    • National Estimates of Total and Injury Work Zone Crashes
    • Work Zone Fatal Crash Facts
    • Other Work Zone Crash Related Resources
  • Flagger Information
    • Flagger Training and Certification Requirements by State
    • Flagging Resources Developed Under the FHWA Work Zone Safety Grant Program
    • Classes
    • Videos
    • Job Resources
  • Training
    • FHWA Work Zone Safety Grant Products
    • Roadway Safety Training Program
    • Online Learning Management System
    • Training Courses and Programs
    • Training Videos
    • ARTBA
    • ATSSA
    • NHI
    • NSC
    • LTAP/TTAP
    • WSU
  • Events and Conferences
    • National Work Zone Awareness Week 2021
    • Work Zone Safety Conferences
    • Other Work Zone Related Conferences
    • 2021 Transportation Construction Safety Events Calendar
  • Data Resources
    • Searchable Databases
    • Public Awareness
    • Laws, Regulations, Standards, and Policies
    • Manual on Uniform Traffic Control Devices (MUTCD)
  • Hot Topics
    • Improving Large Truck Safety in Work Zones
    • Smarter Work Zones
    • Transportation Management Plans
    • Accommodating Pedestrians
    • Rear End Crashes
    • Minimizing Construction Interferences with Traffic
    • Managing Speeds
    • Mobile/Short Duration Work Zones
    • Reducing Worker Run-overs and Back-overs
    • Working at Night
    • Reducing Worker Fatigue and Distraction Risks
You are here: Home / Publications / Nested Network for Detecting PPE on Large Construction Sites Based on Frame Segmentation

Nested Network for Detecting PPE on Large Construction Sites Based on Frame Segmentation

Author/Presenter: Akbarzadeh, Mohammad; Zhu, Zhenhua; Hammad, Amin
Abstract:

Safety is a main concern for the construction industry because of the high rate of accidents and casualties on construction sites. Personal Protective Equipment (PPE) is a major part of safety regulations to prevent accidents. However, workers may neglect to wear the required PPE while working, which subsequently increases the potential risk for accidents. Currently, safety managers and inspectors on construction sites are responsible for monitoring safety regulations, which is a time-consuming task. To facilitate safety monitoring, a large number of research studies applied computer vision for detecting PPE on construction sites. Nevertheless, detecting workers and PPE is still a challenge in far-field videos. This research proposes an approach for detecting if anyone on the construction site is wearing the required PPE, even when he or she is far from the surveillance cameras. This method uses a frame segmentation technique and a nested network with two Faster R-CNN models to detect safety noncompliances. The first model detects the human bodies on the construction site, and the second one detects if the detected person is wearing a hardhat and a safety vest. The proposed method is applied to videos from a construction site. The experimental results demonstrate the practicality and robustness of the proposed method to detect PPE in far-field videos. Based on three different test videos, the average precision and recall for the worker detection model were 99.67% and 92.92%, respectively. The PPE detection model had the average precision and recall of 91.25% and 94.77%, respectively.

Source: Proceedings of the Creative Construction e-Conference (2020)
Publication Date: 2020
Full Text URL: Link to URL
Publication Types: Books, Reports, Papers, and Research Articles
Topics: Detection and Identification Technologies; Inspection; Personal Protective Equipment; Work Zones; Worker Safety

Copyright © 2021 American Road & Transportation Builders Association (ARTBA). The National Work Zone Safety Information Clearinghouse is a project of the ARTBA Transportation Development Foundation. It is operated in cooperation with the U.S. Federal Highway Administration and Texas A&M Transportation Institute. | Copyright Statement · Legal Notices/Policies · Disclaimer
American Road and Transportation Builders Association Transportation Development Foundation, American Road and Transportation Builders Association U.S. Department of Transportation Federal Highway Administration Texas A&M Transportation Institute