Monitoring and Controlling Smart Home Appliances Using IoT Devices

Name
Enrih Sinilaid
Abstract
Usage of different smart home appliances and systems is becoming increasingly more popular in many households. There are many key points for rising number of adopters. For some it is the price as these systems and appliances are not that new to the market anymore and thus are more reasonably priced. Also, with the development in both hardware and software areas processing and memory units have become both faster and smaller which makes designing and developing different smart home devices more viable for building and selling commercially. This ensures that this smart home systems market is not dominated by few companies and gives a chance for anyone to try them out price wise. The second key point is the versatility of different smart home devices that are out in the market, ranging from lights to home automation and security. This variability lets people start out with few cheaper products like smart lighting or media devices and see if this is something for them.
Smart home appliances are devices that could be a common sight at many households like lights, speakers, TVs, air conditioners and so on but what makes them different is the built-in functionality for connecting to internet and then be monitored and controlled remotely. This ability to be remotely controlled and monitored makes it possible to develop automa-tions that could further enhance the way these devices are used.
The aim of this thesis is to create smart home system that could monitor and control smart home appliances using IoT. To better demonstrate the IoT capabilities in the smart home system, a user tracking system will be developed. This system will collect user’s location data in real-time, which will be used to control devices around the user. This thesis uses an open-source home automation platform and various single-board computers to handle smart home devices and track users. As the tracking should differentiate between different users, users are located via their smartphones using either WIFI or Bluetooth. Communication between the home automation platform and user tracking devices is done by using MQTT messaging protocol.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Chinmaya Kumar Dehury
Defence year
2021
 
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