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Thinking About The Safety Of Your Onshore And Offshore Workers, Shell Brasil Will Use A Smartband With Artificial Intelligence That Analyzes Employee Fatigue And “Predicts” Future Accidents
Shell Brasil has just taken a significant step to enhance the safety of its workers and Oil & Gas and Energy operations in the onshore and offshore markets. The company is developing, in partnership with Senai and Dersalis, a project that utilizes artificial intelligence to “predict” human risk events through a smartband.
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Shell Brasil Research And Development Program
The company’s initiative with artificial intelligence is part of the Shell Brasil Research And Development Program and aims to understand fatigue and fall risks during onshore and offshore work shifts, contributing to greater safety and comfort for employees.
Shell’s artificial intelligence smartband has been programmed to interact through alerts directly with workers, even in environments without connectivity.
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Shell’s Words About The Project
According to the company, this is a technological solution that helps in performing work activities safely, acting predictively by informing fatigue stages and also indicating sudden movements suggestive of falls to prevent accidents in onshore and offshore operations.
According to Carolina Rio, Senior Advisor for Partnerships and Startups at Shell Brasil, this project fills everyone in the company with pride, as it works with the standards that Shell Brasil considers fundamental, such as: Research and Development; support for startups; and the health and safety of its employees and operations.
The initial results, according to the company, are encouraging, and everyone believes that together with Senai and Dersalis, they can make a difference in the industrial sector, onshore and offshore, with technology.
How Does Shell’s Artificial Intelligence Smartband Work?
The project, which is still in the testing phase, is collecting and processing data from employees at Shell’s factory in Ilha do Governador, Rio de Janeiro. The tests are expected to last until August and aim to better understand fatigue and fall risks.
The tests occur only during work operations, and all user data is confidential. After an initial calibration period of the company’s artificial intelligence smartband, workers receive alerts and indications about their levels of fatigue.
Shortly after, interaction increases through the activation of a feature that allows each employee to indicate their perception, helping to better understand fatigue.
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