Market Intelligence Analysis on Age Estimation and Gender Classification on Events with Deep Learning Hyperparameters Optimization and SDN Controllers

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.