Published March 2, 2021 | Version Published
Journal article Open

Selecting effective colors for high-visibility safety apparel

  • 1. S-Innovations Ltd, Paphos, Cyprus
  • 2. Research Centre on Interactive Media, Smart Systems and Emerging Technologies (RISE), Nicosia, Cyprus Cyprus University of Technology, Limassol, Cyprus
  • 3. Research Centre on Interactive Media, Smart Systems and Emerging Technologies (RISE), Nicosia, Cyprus

Description

The proper use of high-visibility safety apparel (HVSA) increases conspicuity and reduces accident rates. The main factor affecting daytime conspicuity is the color contrast between HVSA and the ambient background environment. Selecting HVSA without considering their contrast to the worksite environment may result in unsafe situations where HVSA not only fail to provide the desired conspicuity but also act as camouflage. One such situation is the use of red HVSA on oil tankers with brown decks. This paper presents a methodology for selecting the most effective HVSA color for a particular worksite. Using image analysis techniques, we can assess the contrast between a set of high-visibility colors and the colors present at a worksite in order to determine the
most effective HVSA color for the particular site. The methodology was experimentally validated with the help of 50 volunteers and the use of a purpose-built validation software. Results showed a 27% reduction in the time required to detect workers when the color of their HVSA was changed to match the color determined as per the proposed methodology.

Notes

This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE – Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.

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Additional details

Funding

European Commission
RISE – Research Center on Interactive Media, Smart System and Emerging Technologies 739578