MONITORING AND CONTROLLING THE RISK OF FALLS FROM HEIGHT: A SYSTEMATIC REVIEW OF DATA COLLECTION METHODOLOGIES BASED ON SENSORS AND SMART TECHNOLOGIES

Abstract

In the workplace, Occupational Safety constitutes the field of knowledge dedicated to the in-depth study of the causes and factors that originate accidents and incidents during the execution of work tasks. Given the critical situation that falls from heights are responsible for approximately four out of ten workplace accidents in Brazil, the objective of this project is to systematically and thoroughly analyze new methods of monitoring and supporting occupational safety at heights, highlighting the data collection methodologies adopted. This work developed a systematic literature review methodology, exclusively searching for scientific articles in journals from the Scopus and Web of Science databases published in the last five years, refining the search to 23 articles on the use of devices and sensors in monitoring work at heights. The results of this research show a significant advancement in the use of technologies for monitoring and controlling work at heights, with emphasis on the use of Inertial Measurement Units (IMUs), biometric sensors, computer vision systems, and IoT technologies. It is concluded that the use of wearable sensors and automated systems, such as those based on Inertial Measurement Units (IMUs) and machine learning, represents the main trend for increasing the accuracy and speed in detecting risk situations, ensuring the safety and integrity of workers in activities at height.