National Repository of Grey Literature 32 records found  previous11 - 20nextend  jump to record: Search took 0.05 seconds. 
Detection of human using IR sensor
Kroulíková, Markéta ; Mézl, Martin (referee) ; Králík, Martin (advisor)
This master's thesis deals with detection of human using IR sensor. The teoretical part is focused on the introduction of some current possibilities of detection of human, contactless techniques and sensors working on this principle. The next part presents the design of a system for the detection of human in enclosed spaces its hardware and software implementation and verification of its functionality.
Detekce osob v obraze pomocí Raspberry Pi
Svoboda, Lukáš ; Appel, Martin (referee) ; Matějásko, Michal (advisor)
This thesis describes the detection of people in the image using camera devices with focus on using a Raspberry Pi minicomputer. There were created algorithms processing image data and containing algorithms, which are able to distiguish whether it is incoming or outcoming person. Another role of these softwares is to send data to the ThingSpeak platform, where charts are made from the data. The detectors of people are based on Optical flow and ACF - Aggregate Channel features methods. All software was created in the development environment MATLAB/Simulink.
Microwave radar sensor data processing focused on detecting the trajectory of people
Uher, Adam ; Slováček, Miroslav (referee) ; Valach, Soběslav (advisor)
This bachelor ‘s thesis deals with a topic of people detection and tracking their movement in regions of interest. The individual methods that can achieve people detection are analyzed. To implement people detection and tracking their movement microwave radar sensor IWR6843AoPEVM from Texas Instruments is chosen for this task. This hardware and its software are described in detail. Then simulation is conducted to track people in a queue and its results are evaluated. Different advantages and disadvantages of individual methods are compared with each other. Finally, there’s a summary of possible implementations for this device and target platform is chosen to verify its functionality.
Estimate the Height of a Persons from the Video Data
Jelen, Vilém ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
The aim of this bachelor thesis is to create an application that can detect pedestrians and make an estimate of their height from the video data. In the main part of the thesis I introduced security cameras and image processing methods suitable for detecting and classifying objects. Based on the comparison of these methods, I realized the pedestrian detection using Histograms of Oriented Gradients. As the input parameters of the proposed height estimation algorithm, I used the position and properties of the camera and reference objects or points. 
Room Presence Detection in the Smart Home
Průdek, David ; Letavay, Viliam (referee) ; Pluskal, Jan (advisor)
The purpose of this thesis is to design and implement presence detection sensor which works with home automation. I focused on sensor implementation which needs for activity only available wearable electronics. Sensor placed in room can detect other devices and based on signal intensity it determines his location. For this case I chose Bletooth LE which is used to be implemented in the most of wearable electronics and recently new utilization of BLE was found for indoor navigation. Using this sensor for automation is ensured by system Home Assistant. Main benefit of this project is simply and cheap extend home automation capabilities for person detection in rooms, not only detection in large areas which offers GPS and Wi-Fi systems.
Design of an assistive mobile robot for following people
Šamánek, Jan David ; Appel, Martin (referee) ; Adámek, Roman (advisor)
At the beginning of the thesis, several algorithms for person tracking, gesture detection, and person tracking are presented. The following section focuses on the description of the created program. Namely, the implementation of person detection, gesture detection, person tracking, and program application to the robotic platform. This work also handles the control of the robotic platform based on the outputs of the created program.
Smart Camera System for Museum Exhibitions
Homola, Radim ; Orság, Filip (referee) ; Rydlo, Štěpán (advisor)
This thesis focuses on development and construction of a camera system, that captures and post-processes video footage within museum environment in real time. Defined issue is resolved by separating the whole camera system into camera and computing unit, selecting correct components, mainly the camera module, and providing sufficient cooling for the computing unit. Following the solutions steps above enables to hide the powerful computing unit away from the visitor’s sight and also miniaturization of the visibly positioned camera unit. The developed camera system allows isolated operation of various algorithms, where the processed results can help exhibitors with better showpiece placements, recognition of unwanted behavior or protection from vandalism.
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.
Microwave radar sensor data processing focused on detecting the trajectory of people
Uher, Adam ; Slováček, Miroslav (referee) ; Valach, Soběslav (advisor)
This bachelor ‘s thesis deals with a topic of people detection and tracking their movement in regions of interest. The individual methods that can achieve people detection are analyzed. To implement people detection and tracking their movement microwave radar sensor IWR6843AoPEVM from Texas Instruments is chosen for this task. This hardware and its software are described in detail. Then simulation is conducted to track people in a queue and its results are evaluated. Different advantages and disadvantages of individual methods are compared with each other. Finally, there’s a summary of possible implementations for this device and target platform is chosen to verify its functionality.
Detection of human using IR sensor
Kroulíková, Markéta ; Mézl, Martin (referee) ; Králík, Martin (advisor)
This master's thesis deals with detection of human using IR sensor. The teoretical part is focused on the introduction of some current possibilities of detection of human, contactless techniques and sensors working on this principle. The next part presents the design of a system for the detection of human in enclosed spaces its hardware and software implementation and verification of its functionality.

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