• Skip to primary navigation
  • Skip to main content
Logo

Work Zone Safety Information Clearinghouse

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

  • About
  • Newsletter
  • Contact
  • X
  • Facebook
  • LinkedIn
  • Work Zone Data
    • At a Glance
    • National & State Traffic Data
    • Work Zone Traffic Crash Trends and Statistics
    • Worker Fatalities and Injuries at Road Construction Sites
  • Topics of Interest
    • Commercial Motor Vehicle Safety
    • Smart Work Zones
    • Work Zone Safety and MobilityTransportation Management Plans
    • Accommodating Pedestrians
    • Worker Safety and Welfare
    • Project Coordination in Work Zones
  • Training
    • Flagger
    • Online Courses
    • Toolboxes
    • FHWA Safety Grant Products
    • Certification and
      Accreditation
  • Work Zone Devices
  • Laws, Standards & Policies
  • Public Awareness
  • Events
  • About
  • Contact
  • Search
Publication

Safety Management in Construction Site by the Implementation of Image Processing on Raspberry Pi: Risk of Truck Collision Towards the Workers

Author/Presenter: Rikzan, Fatin Izzati Fammy; Nor, Danial Md.
Abstract:

The construction industry is one of the most important sectors that help in economic growth around the world. Generally, all construction sites consist of many equipment, truck, materials and variety of workers so there usually lead to accidents occurred mostly with the reasons of truck collisions towards the worker. This problem can be overcome by doing object detection and notify the workers when there is close truck towards them. The object detection process is for detecting the workers that close to the truck. Then, the speaker device will trigger audio sound as an alert tool for the workers to avoid the collision. Raspberry pi 4B with pi camera installed on it will be used as the main device to run the Node-RED flow based platform. Node-RED is flow-based programming development tool that will deploy object detection flow. Image processing is readily included in the pre-trained model of coco-SSD from Tensorflow.js to classify the image class before trigger the speaker. This system can help the workers to avoid collision with the trucks that close to them and on the future work this device may be used to measure between them and give alerts through the mobile phone or other devices.

Source: Evolution in Electrical and Electronic Engineering
Volume: 2
Issue: 2
Publication Date: 2021
Full Text URL: Link to URL
Publication Types: Books, Reports, Papers, and Research Articles
Topics: Detection and Identification; Safety Management; Warning Systems; Work Zones; Worker Safety

Copyright © 2025 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 · Privacy Policy · 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