Inside Fatigue Science

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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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Newcrest’s Lihir mine deploys Readi site-wide for predictive fatigue management

Fatigue Science is proud to announce that Newcrest Mining Limited has deployed its Readi predictive fatigue management technology site-wide at its Lihir mine site in Papua New Guinea.
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Fatigue Science Wins Green Cross Safety Innovation Award

The National Safety Council announced Fatigue Science wins its prestigious Green Cross Award for Safety Innovation.
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Glencore Lomas Bayas implements Readi FMIS

Glencore's Compañía Minera Lomas Bayas (CMLB), a major producer of low-grade oxide copper ore, announced the implementation of Readi FMIS for predictive fatigue management throughout its site located in the Antofagasta Region.
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Fatigue Science launches Machine Learning engine providing world’s first workforce fatigue predictions without wearables

Fatigue Science is pleased to announce the commercial launch of a breakthrough technology advance in its fatigue management platform. For the first time ever, customers can now obtain validated, personalized fatigue predictions for operators in their workforce, without requiring the use of wearables.
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Supervisor App Upgrade: Offline Mode and Hotspots View for shift supervisors

Fatigue Science announces Offline Mode and Hotspots View for shift supervisors, enabling proactive fatigue intervention in underground and remote environments.
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Mine sites achieve $6M benefit using predictive fatigue tech

Discover how 2 mines each achieved a $6M annual benefit in productivity and safety improvements using Readi FMIS. 
US Navy uses Readi sleep tech
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U.S. Navy partners with Fatigue Science to prevent sailor fatigue

The US Navy announced a major effort to use data-driven technology to address the problem of sailor fatigue. Using the Readi platform from Fatigue Science to generate sleep and fatigue analytics, the Navy is now able to relate the readiness of individual sailors to the cumulative risk of the fleet.
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Safety sensitive shift work industries waking up to the risks of fatigue exposure

This conversation is growing across many industries, from leaders in mining to transportation to critical infrastructure. In fact, a recent article published from CNN by Gregory Wallace — Fatigue is starting to put safety at risk, pilots say — has raised this mission-critical issue as well.
Image of ReadiWatch and a miner giving his thumbs up
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Fatigue Science launches ReadiWatch, the first purpose-built industrial wearable delivering predictive and realtime Fatigue Alerts without a smartphone

Fatigue Science, the global leader in predictive fatigue analytics and information systems for heavy industry and military, is pleased to announce the release of ReadiWatch, a purpose-built smartwatch delivering predictive fatigue awareness and both real-time and predictive Fatigue Alerts to operators and the enterprise in safety-sensitive industrial environments.