Visionary Machines
Tom Watts has a diverse work experience. Tom started their career at McLaren Racing in 2013 as part of the Strategy Team. In 2016, they worked as a Private Tutor at The Profs until 2019. From 2020 to 2021, they served as a Lead Engineer at SERG Technologies. Currently, they hold the position of Senior Research Scientist at Visionary Machines starting from November 2021.
Tom Watts attended Dr Challoner's Grammar School from 2003 to 2010. Tom then went on to the University of Cambridge from 2010 to 2014, where they obtained their MEng degree in Mechanical Engineering. In 2012, they attended the Massachusetts Institute of Technology as an exchange student, focusing on Mechanical Engineering for a year. Tom pursued further education at Imperial College London from 2014 to 2020, where they earned their PhD in Robotics as a President's Scholar.
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Visionary Machines
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Visionary Machines uses non-planar arrays of many low-cost cameras to deliver high-fidelity long-range spatial 3D models of a scene in real time. Its vision is to enable machines to see and perceive the world. Using its "mix-and-match" approach, its sensor arrays can be multi-spectral and can mix optics (such as long-range telephoto withwide angle) to deliver unheralded range & fidelity. Its sensor system is passive, has zero cross-interference, has high immunity to transient interference (snow, rain, dust), has accurate depth, trajectory (direction & velocity) and object classification. Its cloud-connect option enhances each sensor using models of the world created in the cloud from many other sensors. Applications being targeted are automotive ADAS, surveillance, targeting, mapping in both civilian and military sectors.