Image Processing Based Intelligent Mini Robotic Face Recognition System

Abstract

The number of devices connecting to the Internet is increasing rapidly along with the exchange of large amounts of data. Many types of problems used to come in managing that data, but today’s new techniques coming in this time have helped a lot in managing big data. Among those techniques, machine learning is a very advanced and precise technique. With the help of which we can manage and categorize the data very easily in the coming times. Machine learning models were not found to be very complex. Such techniques, technology and algorithms are used in these to make it easier and more accurate for provide the result. In this paper have used some algorithm to increase the processing and best result like MX Net with 89%, Convolutional Neural Networks with 85%, ALEX NET with 83% and Support Vector Machine with 75% results. In such models some other techniques are used to make the hardware work continuously with the systems. Like as NLP, Open CV and other techniques which can analyze the data and show it in a systematic manner. And in the last of all this network, rare hardware units are used to analyze the data from it to make the model. The purpose of this paper is just to understand the purpose of technologies like network and machine learning in the future. And by doing it properly, life should be made easier. Now if the same human again comes to that hospital, then he calls from that unique ID by matching the previous data through this model.