|
|
IoT Home System
Kovařík, Viktor ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
The aim of this thesis was to learn and summarize basic information about IoT systems, which protocols are used and introduction of Google Home system. The first part of the thesis describes the individual parts of the system --- microcontrollers, sensors, light elements and possible systems for backend. In the implementation part of the thesis was designed a solution for smart home controling using Google Home technology. Based on data from the weather station, the system controls and adjusts the intensity of outdoor lighting and controls the blinds. Furthermore, a control module for gate and garage door control is implemented. The system also takes care of vacuum cleaning in the house using iRobot Roomba vacuum cleaners with custom Wi-Fi module. The final part of the thesis summarizes the achieved results.
|
|
|
Mobile Robot Navigation
Goldmann, Tomáš ; Luža, Radim (referee) ; Orság, Filip (advisor)
When we look at the eld of robotics we nd that exist a lot of types of robots. Some of tham use location navigation and global navigation for their work. This work aims to map options of location navigation and description of basic technique which used. Especially, we will deal with algorithms which work with optical sensors, for example camera, stereocamera or laser which scan medium. Practise section this work is focused on the proposal and implementacion algorithm which working with local navigation for robot's return to the starting position. All this work is connecting with tracked robot which formed in the framework one of project realization at Faculty of information technology.
|
|
|
Generation of Authentic Latent Fingerprints Background
Gajda, Adam ; Goldmann, Tomáš (referee) ; Kanich, Ondřej (advisor)
This bachelor's thesis deals with the generation of authentic latent fingerprint backgrounds, through the use of deep learning, more specifically with the help of conditional generative adversarial network and other more conventional methods. This work summarizes the basic theoretical information about biometrics including synthetic fingerprints and a introduction into artificial intelligence. The main model proposed in this thesis has not come into fruition due to lack of unique training data. Other possible reasons were discussed. Thus an alternative way of generating latent fingerprint backgrounds was developed and after visual evaluation of the final results and real data the conclusion was positive.
|
|
|
Intelligent Recognition of the Smartphone User's Activity
Pustka, Michal ; Goldmann, Tomáš (referee) ; Drahanský, Martin (advisor)
This thesis deals with real-time human activity recognition (eg, running, walking, driving, etc.) using sensors which are available on current mobile devices. The final product of this thesis consists of multiple parts. First, an application for collecting sensor data from mobile devices. Followed by a tool for preprocessing of collected data and creation of a data set. The main part of the thesis is the design of convolutional neural network for activity classification and subsequent use of this network in an Android mobile application. The combination of previous parts creates a comprehensive framework for detection of user activities. Finally, some interesting experiments were made and evaluated (eg, the influence of specific sensors on detection precision).
|
|
|
Application for Recognition of People by Face
Svoboda, Jakub ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
Person identification has in the recent years gained notoriety as one of the most powerful ways of extracting information from image data. This thesis is focused on the task of human identification from facial photographs. To solve this task, we employ algorithms based on neural networks, which produce more robust results than traditional algorithms. In this thesis, we studied the common approaches for solving this problem and based on the gathered knowledge we created an architecture of a neural network trained to tackle the task of human identification and verification based on facial photographs. We have then further improved the model architecture and the training process by performing various experiments and observing the results. The final model has reached an accuracy comparable to other state-of-the-art models. Furthermore, we created a desktop application to demonstrate the results visually and to enable easier manipulation with the identity database. The knowledge gathered in this thesis can be used for improvements of current identification models or models modified for solving similar tasks.
|
|
|
Mobile Application to Control the Diet of Patients on Dialysis
Pavlacký, Ondřej ; Kolář, Dušan (referee) ; Goldmann, Tomáš (advisor)
The goal of this thesis is to create an intuitive mobile application for Android operation system which will help dialysis patients by displaying approximate values of monitored substances in their body and replace classic paper records. Thanks to this mobile application patients are going to have better overview of consumed foodstuffs a help them stick to their diet. When inserting the foodstuff patients will select from the database of foodstuffs and the application will calculate values that the food contains. Patients can also expand the database with their own food. Application will also register periods between dialysis and from the length of the period, patients' weight and their diuresis calculate maximal values of monitored substances (water, potassium and phosphorus). Patients will also see values from passed periods, which will we shown in statistics. Data will be persistently saved in local and remote database. Application is developed on Xamarin platform.
|
|
|
Algorithm for Head Comparison in Non-Standard Views
Wysoglad, Jaromír ; Goldmann, Tomáš (referee) ; Drahanský, Martin (advisor)
The goal of this work is to create an algorithm for human head comparison. The algorithm is able to compare heads in a lot of different positions, but the heads, that are being compared, must be in the same position. At first the algorithm uses some freely available detectors for detecting heads and head parts. Then a histogram of oriented gradients is computed for each part of each head and by comparing them the algorithm finds out the dissimilarity of the heads. From the testing set of 30 pictures the algorithm is able to successfully detect heads on 26 pictures. Every picture was compared with 5 other pictures, with one of them containing a head of the same person. If I don't count the 4 pictures, where the algorithm wasn't able to detect the head and 2 pictures, which should have been assigned to these pictures. The algorithm successfully determined, that the head of the same person is the most similar on 18 pictures. On 5 pictures the head of the same person was determined as the 3rd most similar and on one of the pictures the algorithm failed completely and determined the head of the same person to be the least similar. The algorithm is successful with head comparison in different positions on most of the pictures.
|
|
|
Face Liveness Detection Using a 2D Camera
Valo, Ondrej ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
Facial recognition is one of the most socially accepted forms of biometric recognition. The recent availability of highly accurate and efficient face recognition algorithms leaves vulnerability to presentation attacks as a major challenge for face recognition solutions. This work deals with the explanation of the issues related to the detection of facial liveliness, which will help to understand the various possibilities of attack and their relationship to existing solutions. And the implementation of an algorithm that recognizes the liveliness of the face based on videos.
|
|
|
Intelligent Thermal Camera with Intruder Detection
Mysza, Róbert ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
Thermovision technology is becoming more and more widespread in monitoring and security applications. This bachelor thesis deals with its usage for object detection and describes methods and algorithms capable to do this. I also studied factors, which effects the human skin temperature. The design of the device, which sends images to the server and is able to detect an intruder by his temperature is part of this thesis. The last chapter contains evaluation of tests for detection reliability.
|
|
|
Person Detection in Video
Marek, Lukáš ; Goldmann, Tomáš (referee) ; Dyk, Tomáš (advisor)
This bachelor thesis deals with the implementation of an application for detecting people in video footage. Both the application and the detection are implemented in Python. TKinter library is used to create the application. The OpenCV library and the YOLOv4 detection algorithm, which runs on a CUDA backend but can also run on the CPU, are used for detection.
|
guest ::
