Dwell Time Management using Machine Learning in Airport

Main Article Content

Dr. C. Punitha Devi, Dr. T. Vigneswari, J. Jayalakshmi Madhumitha, V. Sowmiya, V. Bavithra

Abstract

IOT is a sort of “universal global neural network” in the cloud which connects various devices. The IOT is an intelligently connected devices and systems which be made up of smart machines interacting and communicating with other machines, environments, objects and infrastructures and the Radio Frequency Identification (RFID) and sensor network technologies will go up to meet this new challenge. As a result, a very large in size data are being generated, stored, and that data is being processed into useful actions that can “command and control” the things or devices to make our lives much easier and safer - and to reduce our influence on the environment. This paper provides an elaborated solution of past investigations on utilizing machine learning technique in indoor navigation frameworks for the IoT situations. We mean to explain about the indoor navigation technique along with the prediction of the likes and dislikes of the passenger to make their dwell time more efficient inside the airport.


 

Article Details

How to Cite
Dr. C. Punitha Devi, Dr. T. Vigneswari, J. Jayalakshmi Madhumitha, V. Sowmiya, V. Bavithra. (2021). Dwell Time Management using Machine Learning in Airport. Annals of the Romanian Society for Cell Biology, 899–912. Retrieved from https://annalsofrscb.ro/index.php/journal/article/view/4430
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Articles