Abstract

The Internet of Things (IoT) is a network of devices (called "things"), which contain sensors, software and other technologies that are connected to internet network for data exchange and interaction with other devices I to people (referred to as "users"). The term "things" includes multitudes of possible devices, such as smart home sensors and lighting, devices for health status monitoring, security system components and many others, where all devices are connected to the Internet. From smart city to

smart light, Internet of Things technology has become a part of everyday life and today it is no longer associated only with the field of entertainment and leisure, but is found application in many industries, primarily in the field of medicine and dentistry. Namely, in recent years, a number of solutions for improvement have been developed diagnostics, improving options for monitoring and patient care in these fields so that today new scientific fields are also defined: Internet of Things in Medicine (IoMT- Internet of Medical Things), as well as the Internet of Things in Dentistry (IoDT- Internet of Dental Things).

This master's thesis explores the applications, benefits and challenges associated with use technologies of the Internet of things in dentistry and accordingly are in the work presented and analyzed in detail different technologies of the Internet of Things which are currently used in this field. The paper presents in detail the hardware and software solutions that used in IoT dental devices, as well as communication methods and protocols used by IoT devices in dentistry. In addition, an analysis of various of machine learning algorithms currently being implemented, as well as opportunities for their further development. The paper also provides a comparative comparison of the mentioned algorithms for machine learning, as well as their analysis accuracy during implementation in practice.

Keywords: IoT, IoT hardware, IоТ software
Published on website: 13.10.2023
Attached files: mandic.pdf