Fatigue Science en los medios de prensa

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Fatigue Science Achieves Milestone as 20 Mine Sites Adopt Readi Site-Wide for Fatigue Management

We are proud to announce that our Readi platform has been adopted by 20 mine sites worldwide, solidifying its position as the industry standard for managing worker fatigue.
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Predictive vs. Reactive Fatigue Management in Mining

In this article, we will explore the differences between reactive and proactive approaches to fatigue management, examining their respective strengths and discussing how they can complement each other to maximize safety and efficiency in mining operations.
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Cómo la fatiga afecta 7 métricas clave en la minería

Operator fatigue is a force inherent to mining, and unfortunately an omnipresent threat to safety and productivity, with a direct impact on lost-time incidents, injury, death, and financial losses. In this article, we discuss the impact of worker fatigue on the seven metrics that matter to mining companies.
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Nueva investigación: 3 sitios mineros revelan que Readi puede predecir un 12 veces mayor riesgo de microsueños.

New research released today from Fatigue Science, the leader in predictive fatigue management technology, revealed the striking ability of its Readi platform to predict the likelihood of an operator’s microsleeps before high-risk work begins.
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Cómo afecta la fatiga del conductor a las 7 métricas clave de seguridad de flota.

Fatigue Science, the maker of the predictive fatigue management software suite, Readi, aims to make a difference in the trucking sector by enabling fleets to act on driver fatigue before critical moments occur.
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Destacado en Minería Internacional: Readi desplegado por Newcrest, utilizando ML para predecir la fatiga

We are thrilled to be featured in International Mining's latest article, highlighting the deployment of our predictive fatigue management technology, Readi, by Newcrest Mining at their Lihir gold mine in Papua New Guinea.
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Estudio DoT de EE. UU.: SAFTE de Readi puede predecir un costo de accidente 7.3 veces mayor debido a la fatiga.

A 2013 study by the US Department of Transportation (US DoT) is receiving newfound attention, due to the recent release of ReadiML, the Machine Learning software from Fatigue Science that operationalizes a scientific fatigue prediction model for daily use by transportation fleets.
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El verdadero costo de la fatiga del conductor para su flota de camiones

Fatigue is a well-known hazard in the trucking industry, with truck driver fatigue being a leading causal factor of numerous roadway accidents every year.
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Machine Learning predice accidentes de camiones a través de datos ELD
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El avance del aprendizaje automático predice los accidentes de camiones y la fatiga a partir de los datos de ELD, lo que mejora los registros de seguridad de la flota

Recent advances in Machine Learning are enabling trucking fleets to predict each driver’s probability of getting in a fatigue-related accident on any upcoming shift—before the driver gets behind the wheel.
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