Abstract:
Nowadays, understanding demographic
information on social influencer events is important
for target customer analysis. Hence monitoring the
crowded event requires an intelligent sophisticated
technology with human gender classification and
classify age group. This paper is using hyperparameter optimization and SDN controller on age
gender classification on events cameras to monitor
and classify to cover the whole event. Many cameras
will need and lead to weak performance in
classification. This system targets for getting better
result in multi-IP-cameras managing port under SDN
controller. Classification for image processing is used
by fast R-CNN with hyper-parameter optimization
model data training and achieving result from SDNs
based web cameras. With constraints of hardware, this
system will rely on group of Sony IP-Cameras with
SDN controller environment. And OpenCV2 libraries
is used to train hyper-parameter optimization model,
SDN controller run on Mininet , Openflow protocol
and IMDB Image Datasets and Asia Image Dataset
are used to achieve better satisfactory performance.
