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fatigue risk management

Report: Fatigue Risk Management – Applying a data-driven approach to fatigue in the maritime industry

10/06/2021

Download our Fatigue Risk Management Report: We explore the impact of fatigue in the maritime industry and compare the fatigue management practices used, both in ports and at sea, with emerging practices from other industries.

Safetytech Accelerator selects Senseye as first startup to join Waypoint acceleration programme

24/05/2021

Safetytech Accelerator has selected computational neuroscience startup Senseye as the first company to join the Waypoint acceleration programme with the aim of improving fatigue management in industry. 

Understanding decision-making on a ship through sensing.

28/04/2021

This pilot sought to explore how sensing technologies could improve the understanding of unsafe human behaviours and mindsets on commercial ships, leading to better knowledge of why safety incidents occur.

Press Release: Safetytech Accelerator launches new programme to commercialise marine safety and risk technologies

27/04/2021

Safetytech Accelerator launches Waypoint, a programme to partner with startups to make safety and risk technologies more accessible to industry.

What does the future hold for Safetytech in maritime?

12/01/2021

A Q&A with Andy McKeran on the future of safetytech in maritime.

Is video analytics the answer to safer ships and safer seas?

20/11/2020

Maritime industry experts and innovative technologists explored the benefits of video analytics for safety in maritime, during the Safetytech Accelerator webinar, hosted by Lloyd’s List.

Accelerating life-saving safety solutions.

27/10/2020

The award-winning Safetytech Accelerator, an exciting joint venture from Lloyd’s Register and Lloyd’s Register Foundation, is bringing big business together with digital startups to make safety improvements happen faster. The programme…

Determining master’s and crew’s psychological and emotional health.

12/01/2020

The challenge set in partnership with Pacific International Lines (PIL), sought innovative methods to assess the psychological and emotional wellbeing of individual crew members in real-time, whilst they are onboard and before they are about to go on duty.

Startup improves safety using deep learning-based computer vision.

13/11/2019

This pilot trialled NumberBoost’s computer vision inspection technology powered by deep learning, to build a real-time error detection and feedback solution, to automatically detect anomalies in photos of work done on critical infrastructure.