Machine vision-based recognition of safety signs in work environments.

ABSTRACT: The field of image recognition is extensively researched, with applications addressing numerous challenges posed by the scientific community. Notably among these challenges are those related to individual safety. This article presents a system designed for the application of image recognition in the realm of Occupational Risk Prevention-a concern of paramount importance due to the imperative of preventing workplace accidents as falls, collisions, or other types of accidents for the benefit of both workers and enterprises. In this study, convolutional neural networks are employed due to their exceptional efficacy in image recognition. Leveraging this technology, the focus is on the recognition of safety signs used in Occupational Risk Prevention. The primary objective is to enable the recog

SUBMITTER: Roman-Gallego JA 

PROVIDER: S-EPMC11631886 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature