Future industrial inspection technologies.12/08/2020
This challenge, set in conjunction with Sellafield Ltd. and National Nuclear Laboratory, seeks innovative digital solutions to complete remote inspections and to identify anomalies in industrial environments, specifically in ventilation ducts, to infer defects, cracks, corrosion and thinning of duct walls.
Revolutionary Listeria Detection.12/08/2020
This challenge, set in conjunction with PepsiCo, the multinational food and beverage corporation, sought revolutionary digital solutions to increase the speed at which food manufacturers can detect listeria in their food production facilities.
Real-time detection of potential fires in the below deck container hold12/07/2020
This challenge set in conjunction with Seaspan, sought innovative solutions which could deliver real-time detection of potential fires in the below deck container hold.
Pre-fire Temperature Change Detection Onboard Ships.12/01/2020
This challenge sought innovative solutions which could deliver real-time, early detection of such thermal level increases of transported vehicles.
Early detection of gas leaks onboard a Liquid Natural Gas (LNG) tankers12/01/2020
This challenge set in conjunction with Shell, one of the largest oil and gas companies in the world, sought innovative methods to detect these minor gas leaks onboard an LNG tanker, using sensor technologies or other approaches.
Data analytics to detect pipeline faults.12/01/2020
This Challenge, set in conjunction with Phillips 66, the US energy manufacturing and logistics company, sought innovative IoT, machine learning and AI solutions to more effectively identify anomalies from the immense ILI data sets.
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.
Automatic anonymising and desensitising of health and safety data12/01/2020
This challenge, set in conjunction with the Discovering Safety Programme, sought innovative, effective, automated techniques for desensitising and anonymising health and safety information which would ultimately enable a much more diverse set of health and safety information.