Inside Fatigue Science

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National Safety Council Emphasizes Role of Supervisors in Fatigue Management

In a recent initiative, the NSC has introduced an Impairment Recognition and Response Training program for supervisors, specifically tailored to address workplace impairment.
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MINERA PANAMA, S.A., subsidiary of First Quantum Minerals LTD, adopts Readi at the Cobre Panama mining site

MINERA PANAMA, S.A. has chosen to utilize Readi, the predictive fatigue management technology, in a site-wide implementation at the Cobre Panama mine.
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Webinar: How Marcobre uses Readi to predict fatigue and reduce fatigue event

Join us for a fascinating webinar as industry leaders discuss the successful implementation of predictive fatigue management in mining operations.
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New Whitepaper: Readi Integrates with All Major ELDs to Predict Driver Fatigue

This in-depth report explores how Fatigue Science's Readi platform integrates with Electronic Logging Devices (ELDs) to provide personalized fatigue predictions for each driver, generated in advance of every shift.
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VIDEO: Marcobre’s Mina Justa Mine Uses Readi to Reduce Fatigue Events, Improving Safety and Productivity

By implementing Readi, our predictive fatigue management platform, at their Mina Justa mine, Marcobre has significantly improved the wellbeing and safety of their workers, while also enhancing their productivity and performance.
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New Case Study: Mine achieves 50% reduction in fatigue camera alarms with Readi predictive technology

In the case study, a large Central American copper mine implemented Readi alongside their existing reactive fatigue detection system, Caterpillar DSS. The resulting improvements enhanced both safety and productivity by minimizing disruption to ongoing operations.
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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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How Fatigue Affects 7 Key Metrics in Mining

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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New Research: 3 Mine Sites Reveal Readi Can Predict 12X Higher Chance of Microsleeps

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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How Driver Fatigue Affects the 7 Key Fleet Safety Metrics

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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Featured in International Mining: Readi deployed by Newcrest, using ML to predict fatigue

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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US DoT Study: Readi’s SAFTE can predict 7.3x accident cost from fatigue

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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The True Cost of Driver Fatigue for Your Trucking Fleet

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.
Machine Learning predicts truck accidents via ELD data
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Machine Learning breakthrough predicts truck accidents and fatigue from ELD data, improving fleet safety records

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.