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Image processing
within the Department of Electrical and Electronic
Engineering at the University of Brighton encompasses
final year studies at undergraduate level, specialist
short courses, and postgraduate research programs.
The Applied Image Processing Resource Unit (AIPRU)
encourages the development of industrial machine
vision systems focusing on low-cost, real-time
systems and applications. A theme of much of
its work is real-time visual inspection and
image recognition.
Research activities
over the past decade have spanned much of the
machine-vision domain including hardware architectures,
sensors and algorithms. The majority of research
is directed by practical applications which
require cost-effective solutions particularly
within the electronics and paper-manufacturing
industries.
The philosophy
of the research unit is to support a systemic
approach to machine vision in order to minimise
the complexity and cost of machine-vision solutions.
In particular, developments in vision-implementation
frameworks and image sensors are widely applicable
to industry at large. Specific analysis and
developments, such as ink-particle inspection,
present transfer possibilities in other areas
of manufacturing.
Industrial contacts are continually
sought in all areas of practical machine-vision
implementation. Collaborators are required to
assist taught courses, promote consultancy and
to develop research programmes. At the present
time we are seeking specific users for a second-generation,
smart-sensor device which is particularly suitable
for high-speed, low-resolution applications.
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