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Home Automation Based on Arduino/WeMos/RPi Platform
Ježek, Jan ; Špaňhel, Jakub (referee) ; Kapinus, Michal (advisor)
This work aims to propose and implement a home automation system based on individual devices' connection using conditions and actions. For example, when a magnetic barrier determines that a door was opened, a command that turns on lights in the hallway is sent. However, if a card reader does not register allowed card, the alarm will be triggered. This problem is solved by a server running on Raspberry Pi, which is periodically checking all conditions that a user has defined via a web page. Based on their fulfillment, it executes predefined action. Created solution provides a way how to connect smart devices in household easily and how to automate them. Users must program each module, complex conditions, and actions by themselves. This work presents an infrastructure for communication and examples on how to create such modules.
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Smart garden
Dvořák, Jakub ; Kaczmarczyk, Václav (referee) ; Štohl, Radek (advisor)
The main objective of this work is created using Raspberry Pi intelligent garden. The first part is devoted to the concept of intelligent building. The second part describes the used hardware components. Another section is devoted SW Raspberry microcomputer and microcontroller Arduino. The last chapter describes the implemented model of a intelligent garden.
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Configurable Embedded Photo/Video Trap with Storing Data and Self Adaptation to Surroundings
Výborný, Filip ; Šimek, Václav (referee) ; Strnadel, Josef (advisor)
This diploma thesis deals with a design and construction of an embeded camera trap with a video recording and night vision support, which is able to self adapt to surroundings. The device is based on the Raspberry Pi platform and configurable by touch screen control with a user-friendly graphical interface. Also the web-application for easy remote administration was developed in Ruby On Rails framework. The camera trap was built and successfully tested under the real conditions. There are also typical application cases and requirements for camera trap construction described in this thesis.
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Home Automation Based on Arduino/WeMos/RPi Platform
Ježek, Jan ; Špaňhel, Jakub (referee) ; Kapinus, Michal (advisor)
This work aims to propose and implement a home automation system based on individual devices' connection using conditions and actions. For example, when a magnetic barrier determines that a door was opened, a command that turns on lights in the hallway is sent. However, if a card reader does not register allowed card, the alarm will be triggered. This problem is solved by a server running on Raspberry Pi, which is periodically checking all conditions that a user has defined via a web page. Based on their fulfillment, it executes predefined action. Created solution provides a way how to connect smart devices in household easily and how to automate them. Users must program each module, complex conditions, and actions by themselves. This work presents an infrastructure for communication and examples on how to create such modules.
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|
|
Smart garden
Dvořák, Jakub ; Kaczmarczyk, Václav (referee) ; Štohl, Radek (advisor)
The main objective of this work is created using Raspberry Pi intelligent garden. The first part is devoted to the concept of intelligent building. The second part describes the used hardware components. Another section is devoted SW Raspberry microcomputer and microcontroller Arduino. The last chapter describes the implemented model of a intelligent garden.
|
|
|
Configurable Embedded Photo/Video Trap with Storing Data and Self Adaptation to Surroundings
Výborný, Filip ; Šimek, Václav (referee) ; Strnadel, Josef (advisor)
This diploma thesis deals with a design and construction of an embeded camera trap with a video recording and night vision support, which is able to self adapt to surroundings. The device is based on the Raspberry Pi platform and configurable by touch screen control with a user-friendly graphical interface. Also the web-application for easy remote administration was developed in Ruby On Rails framework. The camera trap was built and successfully tested under the real conditions. There are also typical application cases and requirements for camera trap construction described in this thesis.
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