IET: Best Technology Demo in the field of Vision and Imaging Call for Entries
The deadline for submitting entries (A3 poster and a video demo)
for the IET's Vision and Imaging Technology Award
has been extended to the 18th October!!!
The IET's Vision and Imaging Technical Network is giving an award
to the best technology demo in the field of Vision and
Imaging. Applicants are invited to submit an A3 mini-poster (in PDF
format) also containing the URL to a short video demonstration
describing their research and technology work. Submission is open to
any researchers and innovators from both academia or industry. There
will be two categories: Student Technology and General
Technology. Each submission will be judged on the basis of technical
excellence, value of the work to the wider community and public
benefit, implementation of the idea and business potential. Applicants
with the most impressive technologies will be invited to take part in
a final dedicated demonstration session during the ICDP2019 conference
in London (16-18 December, University of Westminster), where each demo
will be judged by a panel of experts and participants of the ICDP
conference. The winners in each category will receive a prize of
£500 and asked to present their work via a webinar disseminated
through the IET's Vision & Imaging Technical Network.
Self-nominations consisting of an A3 mini poster (in PDF format and
containing a URL to a short video demonstration of the work) have to
be uploaded to: https://easychair.org/conferences/?conf=viia19 by the
18th October 2019 . The poster should contain your name (indicating
if you are a student), your organisation and your email address. The
competition is also open to international contestants.
Judging & Judging criteria
The judging panel will be made up of the committee members of the IET
Vision and Imaging Technical Network or their nominees. Each
submission will be judged on the basis of technical excellence, value
of the work to the wider engineering community and public benefit,
business potential, novelty of the basic idea and its implementation.
For full details please see:
Prof Sergio A Velastin PhD MSc FIET CEng SMIEEE
Professor of Applied Computer Vision
Senior Research Scientist, Cortexica Vision Systems Ltd.
Profesor Honorifico, Universidad Carlos III de Madrid, Spain
Visiting Professor, School of Electronic Engineering and Computer Science,
Queen Mary University of London