Inside Fatigue Science

Machine Learning predicts truck accidents via ELD data
, , , , ,

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.
, , , , ,

Predicting fatigue with machine learning

Enjoy this great article about supporting safety with technology featuring Readi FMIS published by Paul Adair, WDC Staff Writer for Women Driving Change magazine.
, , , , ,

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.
, , , , ,

Fatigue Science Wins Green Cross Safety Innovation Award

The National Safety Council announced Fatigue Science wins its prestigious Green Cross Award for Safety Innovation.
, , , , ,

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.
, , , , ,

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.
, , , , ,

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.
, , , , ,

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
, , ,

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.
Supervisor using ReadiSupervise Mobile
, , , ,

Fatigue Science announces ReadiSupervise Mobile, app for supervisors to monitor on-duty crew fatigue

Fatigue Science, the global leader in providing fatigue and performance predictive analytics and fatigue management information systems to heavy industry, military, and elite sports teams, is pleased to announce the launch of ReadiSupervise Mobile. This new functionality will help shift supervisors more effectively manage fatigue risk, improve operator safety, and increase crew performance in daily operations.
Two mine workers looking at a tablet with the Readi platform on-screen
, , ,

Hexagon signs partnership with Fatigue Science to enhance MineProtect safety portfolio

Combined with its real-time operator alertness and collision avoidance solutions, Hexagon will now be able to help customers further protect and optimize their people and equipment with Fatigue Science’s Readi platform for predictive fatigue management.
Industrial worker looking at the Readi platform on his tablet.
, , , ,

Fatigue Science announces new funding from BDC to scale its predictive fatigue management platform for heavy industry

Fatigue Science, the global leader in predictive fatigue management technology, is pleased to announce that it has received a USD $1.0M investment from BDC Capital — one of Canada’s most prominent tech-industry and startup investors.
Industrial worker wearing a face mask and pointing upward
, ,

How to increase worker productivity and reduce unscheduled downtime with predictive fatigue management

Across heavy industry, awareness of fatigue risk is growing. In industries such as mining, oil & gas, and construction, worker fatigue regularly causes safety incidents. However, even when fatigue-related incidents don’t occur, fatigue poses significant challenges to worker productivity and unscheduled downtime.