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Case Study: Automating safety compliance in construction

23/11/2022

A collaboration between Discovering Safety, Safetytech Accelerator, Costain and AuditComply to explore ways of automating assurance of compliance on construction projects.

Providing construction safety guidance using visual observations and historical reports

25/10/2022

A collaboration between Discovering Safety, Safetytech Accelerator, and Clarifai, to explore the use of historical data to assist inspectors and safety managers at new construction sites.

Reducing risk in ports using AI-based video analytics

19/07/2022

Read a case study about how IronYun and Safetytech Accelerator collaborated on a project to solve safety problems in ports and terminal sites at a global ports and logistics operator.

A feasibility study into using energy harvesting sensors to detect fires in cargo holds

13/05/2022

A collaboration to explore the feasibility of using novel sensors to provide faster detection of container fires located below deck on ships.

Exploring robotic solutions to remove need for humans to conduct inspections in confined spaces

12/04/2022

This pilot sought to develop new and revolutionary robotic tools to perform inspections inside pressure vessels.

Pilot to speed up detection of listeria in food production

21/03/2022

This pilot sought to find new techniques to increase the speed at which food manufacturers can accurately detect listeria in their food production facilities.

Developing ship-handling skills using virtual reality

03/03/2022

A collaboration between Safetytech Accelerator, The Nautical Institute, Anglo-Eastern, Teekay Gas and MOL-LNG, to explore VR solutions to improve ship handling capabilities at sea.

Communicating accurate ingredient data in school canteens

12/10/2021

This was a pilot project, partnering with BWCET, a school trust comprising over 20 schools in the North East of England. BWCET seeks innovative digital solutions to help school pupils, parents and carers find food that is safe for them to eat with all relevant food information they need.

Improving defect identification in pipelines

28/09/2021

This pilot in collaboration with Phillips 66 sought to explore how machine learning technologies could improve the identification of defects in energy pipelines to reduce the likelihood of leaks and impact on the environment.

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