Mr Salvatore Raymond Ruocco
Director of Outreach and Enterprise
I provide the strategic leadership towards - and manage the subject specialists who assist me with - the planning, delivery and monitoring of the Outreach activities of the School of Architecture, Computing & Engineering.
An Electronics Engineer with 15 years industrial experience as a Sensors and Instrumentation designer within the automated manufacturing and advanced display systems sectors. Ray graduated with a 2:1 in Electronics Engineering from Middlesex University in 1982, which he'd attended as a part-time student
while working for the Levy West Research Laboratories (part of the 3M corporation); Ray was also the winner of the Royal Television Society Baird Award and Atlantic Trust Scholarship in 1984, which he used to carry out post-grad work on 3D Robot Sensors at Stanford University (USA). From 1995 to 2001, after he left 3M, Ray was the Director of MU Solutions (a division of MU Services Ltd) an organisation which leveraged near-market academic research and developments in order to help companies – particularly SMEs – exploit Information & Communications Technology (ITC) to improve their businesses. In 2001 Ray set up a new company to develop software solutions for the financial and banking sector, successfully selling it to international investors in 2003. During the last decade Ray has been teaching and researching Engineering and Sensor Systems at the University of East London, where he is also the Director of Outreach & Enterprise for the School of Architecture, Computing and Engineering.
Sensors are becoming increasingly widespread in applications ranging from mundane CCTV to complex automated industrial inspection and biometric security systems. Vision sensors used in industrial automation applications – particularly vision guided robot manipulation - can benefit from the use of mathematical models - such as the Model Driven Image Acquisition (MDIA) algorithm - to help reduce the overall processing time. However, mathematical models such as the MDIA can be adversely affected in applications where the objects to be imaged have surfaces with near-specular reflection characteristics (e.g. polished surfaces).
This paper reports on the development, implementation and testing of an enhanced image acquisition algorithm for an active 3D vision sensor which overcomes such limitations by including secondary surface reflections within its mathematical model. The results show a significant improvement when comparing the Matlab implementation of such an enhanced MDIA algorithm with the images obtained experimentally on 4 test pieces displaying both specular and non-specular surface characteristics.
Systematic Errors in Active 3D vision Sensors, IEE Proceedings of Vision, Image and Signal Processing; Vol 150, Mo6, Dec 2003, pp341-45
plus 1 text book and 18 other published journal/conference papers in the field of Sensors and Robotics
Electrical & Electronics Engineering (particularly Sustainable Technologies and Alternative Energy Systems)
Sensors and Instrumentation Systems (particularly 3D Vision and Robotics sensors)
E-Learning and On-line knowledge delivery technologies/methodologies
MIEE (1982), later transposed to MIET