Research Report on MITS Advanced Research Techniques 2022

MITS Advanced Research Techniques
Research Report
Candidate:
Student Name
Higher Education Department
Victorian Institute of Technology
Report Title:
USE OF MACHINE LEARNING TO TRACK AND PROJECT HUMAN
POPULATION MOVEMENT THROUGH INTERNET OF THINGS
Extended Abstract
Internet of things is presently the most popular technology that is leading to the
development of the various methods of simplification of processes and functions. The
internet of things could be described as the system of the interrelated devices of
computation, the mechanical as well as the digital machines, the various objects, the
animals, or the people that are offered with the distinct identifiers as well as the

ability of transferring the data over any network deprived of needing the human to
human or even the human to computer interaction. The ecosystem of the IoT mainly
includes the web embedded smart devices that utilizes the embedded systems, like the
sensors, the processors, the communication hardware for collecting, sending, and
then acting on the data that is acquired from the environment. The data that has been
gathered from the devices is further analysed using the methods of various machine
learning algorithms and then the accurate projections are drawn from the data. The
machine learning technology could be described as the sector of the studies that
provides the computer with the extensive capabilities of learning deprived of being
explicitly programmed. The machine learning is being extensively used in the devices
that supports the IoT. The data that has been generated from the Iot devices could be
used for determining the accurate forecasts using the machine learning algorithms.
This report intends to analyse the use of the machine learning for tracking and then
project the human population movement through the Internet of Things.