Real-time Object Prediction by Collaboration of IOT and Deep Learning

Abstract

Object detection or the prediction of the objects in the image form can be performed in tremendous ways as a general means. Here we are detecting the objects by the collaboration of the deep-learning along with the IOT technology, so that the predicting system or PC will be in one place and the capturing smart phones will be in someother place, using IOT the auto capturing, and the detection of object along will label of name is achieved with one of the pre-trained neural networks in deep learning called Google net. So as to reduce the training time and the accurate prediction of the object can be obtained. The object detection is probability checked out or compared out between the prediction accuracy inside state and the other state. And the time taken for the prediction of the objects is also made into concern. In this paper the simple smart phones which can be available with everyone's hand the object detection is handled out in the real-time and predicted with the personal computer with the booming technologies.