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New features for real-time positioning system locator
Studený, Jakub ; Sekora, Jiří (referee) ; Kolářová, Jana (advisor)
The diploma thesis deals with the detection of falls and impacts, based on data obtained from inertial sensors, and by measuring the distance using a laser. The aim of this thesis is to extend the functionality of locators from Sewio. The thesis describes the procedure for designing algorithms for detection of falls and impacts. Then there is a procedure for development of hardware and software solution, for laser distance measurement by locator, together with presentation of achieved measurement results realized by locator after implementation of proposed solution. The work also emphasizes the minimization of energy consumption of individual solutions. In conclusion, there is a discussion of achieved results with evaluation of efficiency and usability of proposed solutions.
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Gateway for monitoring maritime transport
Fučík, Stanislav ; Číž, Radim (referee) ; Musil, Petr (advisor)
This thesis addressed the monitoring of maritime traffic. The aim was to evaluate current solutions in the field of maritime traffic monitoring and to design and create new solution. The proposed solution is powered by solar panels and Li-Ion batteries. For sending data, satellite and mobile connections is be used. As a source of information about position GPS is used. The monitoring unit is equipped with sensors for measuring temperature, humidity, acceleration, intrusion of into the container and a detector of the opening door. The unit is resistant to the atmospheric influences prevailing sea and is operational long-term at sea.
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Smartphone-based fall detection
Strejček, Jakub ; Smital, Lukáš (referee) ; Němcová, Andrea (advisor)
This bachelor thesis deals with basic processing of data from accelerometer in smartphone, which is used for fall detection of people. By right detection we could prevent many serious injuries caused by delayed help to people, who were unable to call for help. This paper focuses on the mechanisms of falls and their characteristics and also on hardware used for fall detection. Furthermore, already created Android applications from Google Play and their functionality are studied. In addition to that there were collected data about people falls and an algorithm for detection of fall was created in Matlab. Android smartphone application was developed and tested in this work.
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Gateway for monitoring maritime transport
Fučík, Stanislav ; Číž, Radim (referee) ; Musil, Petr (advisor)
This thesis addressed the monitoring of maritime traffic. The aim was to evaluate current solutions in the field of maritime traffic monitoring and to design and create new solution. The proposed solution is powered by solar panels and Li-Ion batteries. For sending data, satellite and mobile connections is be used. As a source of information about position GPS is used. The monitoring unit is equipped with sensors for measuring temperature, humidity, acceleration, intrusion of into the container and a detector of the opening door. The unit is resistant to the atmospheric influences prevailing sea and is operational long-term at sea.
|
|
|
New features for real-time positioning system locator
Studený, Jakub ; Sekora, Jiří (referee) ; Kolářová, Jana (advisor)
The diploma thesis deals with the detection of falls and impacts, based on data obtained from inertial sensors, and by measuring the distance using a laser. The aim of this thesis is to extend the functionality of locators from Sewio. The thesis describes the procedure for designing algorithms for detection of falls and impacts. Then there is a procedure for development of hardware and software solution, for laser distance measurement by locator, together with presentation of achieved measurement results realized by locator after implementation of proposed solution. The work also emphasizes the minimization of energy consumption of individual solutions. In conclusion, there is a discussion of achieved results with evaluation of efficiency and usability of proposed solutions.
|
|
|
Smartphone-based fall detection
Strejček, Jakub ; Smital, Lukáš (referee) ; Němcová, Andrea (advisor)
This bachelor thesis deals with basic processing of data from accelerometer in smartphone, which is used for fall detection of people. By right detection we could prevent many serious injuries caused by delayed help to people, who were unable to call for help. This paper focuses on the mechanisms of falls and their characteristics and also on hardware used for fall detection. Furthermore, already created Android applications from Google Play and their functionality are studied. In addition to that there were collected data about people falls and an algorithm for detection of fall was created in Matlab. Android smartphone application was developed and tested in this work.
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