UWS has been shortlisted in the ‘Multiparty Collaboration’ category of the Scottish Knowledge Exchange Awards 2018 for an innovative knowledge exchange project.
The awards celebrate and reward impacts achieved through collaborative business and academic partnerships. Winning projects will be announced at an event run by Interface on 22 February 2018.
The ‘Multiparty Collaboration’ category recognises projects that demonstrate partnerships that encourage the long term benefits to both the business and the academic teams. The University has been nominated for this award for the project, AALART – Low-pixel Automatic Target Detection and Recognition, it undertook with multinational electrical systems group, Thales UK and CENSIS. This collaboration saw the development of unique technology, enabling automatic detection of humans and vehicles from up to 1500m using thermal imaging.
The AALART collaborative project has many possible applications including robots with better eyesight and drones to spot defects in buildings before they collapse. The study is based around the concept of “deep learning” which mimics the way human brains behave to create an artificial intelligence that learns on the job.
The collaboration between UWS and Thales UK was set up by CENSIS, Scotland’s Centre of Excellence for Sensor and Imaging Systems. It is one of eight innovation centres backed by the Scottish Funding Council to foster closer collaboration between academic researchers and industry.