Tyler Holderness

Tyler Holderness is a doctoral student whose research focuses on the measurement of human attention using computer vision.

His current work involves translating this research to real-world environments such as construction sites, where it can reveal hazards invisible to the naked eye and predict accidents well before they occur. Development of a prototype, Second Ahead, is funded by the ai@cam AI-deas Sprint Programme.

Additionally, Tyler is developing a solution to detect fly-tipped waste using computer vision, in conjunction with Greater Cambridge Shared Waste and South Cambridgeshire District Council. This work is funded by ai@cam and the Ministry of Housing, Communities and Local Government.

Tyler holds a Bachelor of Engineering (Honours) from the Open University and a Master of Philosophy in Industrial Systems, Manufacturing and Management from the University of Cambridge, where he was awarded a Cambridge Trust Scholarship. His PhD is funded by a School of Technology scholarship. He has prior experience as a Senior Consultant at Capgemini Invent; in Autonomous Systems and Reliability-centred Maintenance at Boeing; and as a CNC machine operator at an aluminium fabricator.