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Detection of People in Room Using Low-Cost Thermal Imaging Camera
Charvát, Michal ; Kempter, Guido (referee) ; Drahanský, Martin (advisor)
S příchodem průmyslu 4.0 a chytrých domovů se zvyšují nároky na automatické a spolehlivé technologie umožňující detekci živých bytostí. Tyto technologie můžou například pomáhat starším či postiženým osobám s každodenním životem nebo zvyšovat úroveň bezpečnosti na pracovištích tak, že budou hlídat rizikové zóny. Představujeme metodu počítání, detekce a lokalizace osob za použití jediné nízkonákladové termální kamery FLIR Lepton 3 a počítače Orange Pi. Tato práce popisuje proces konfigurace hardwarových součástí celého systému a softwarové řešení problému detekce a lokalizace osob. Naše řešení je založeno na aplikování teplotního filtru s rozmezím lidských teplot, zpracování obrazu s detekcí objektů s pomocí knihovny OpenCV a rekonstrukci 3D scény o známých parametrech. Tento přístup, i ve své jednoduché podobě, dosahuje na naší kolekci dat přesnosti kolem 90 % a nabízí řadu příležitostí na vylepšení.
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Methods used for OCR
Čermák, Marek ; Marada, Tomáš (referee) ; Zuth, Daniel (advisor)
Although OCR (Optical Character Recognition) is a topic which has been a subject of research since the second half of the 19th century, it has recieved a significant attention in the field of computer vision and object detection recently. This thesis presents history of OCR and briefly describes techniques which have been used over the course of time for character recognition. Main focus lies in the current text recognition methods introduced by soft computing. Since the major portion of the field is covered by neural networks, various architectures will be presented. Eventually a software for alphanumeric characters recognition will be implemented using a convolutional neural network.
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Protection of sensitive data contained in images
Mezina, Anzhelika ; Rajnoha, Martin (referee) ; Burget, Radim (advisor)
Tato bakalářská práce je zaměřena na využití hlubokého učení v bezpečnostním problému úniku citlivých informací ve formě obrazových dat. Pokusem o vyřešení tohoto problému bylo použití Single Shot Multibox Detectoru (SSD) a plně propojené sítě, poslední je mnohem rychlejší než jiné metody a může být použitá v praxi, kde je potřeba velmi rychlé analýzy příchozí a odchozí informace, například analýzy provozu sítě. V první části práce jsou popsané metody, které mohou být použité pro detekci klíčových slov. Druhá část obsahuje popis experimentu a dosažených výsledků pro dva modely neuronových sítí: Single Shot Multibox Detector a plně propojené sítě. Druhý model dosahuje uspokojivých vlastností jak z pohledu času zpracování tak i přesnosti a lze jej použít v praxi.
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Detection of deferred luggage in public places
Ligocki, Roman ; Mašek, Jan (referee) ; Uher, Václav (advisor)
Goal of this thesis is detection of left luggage in public areas, that could be possibly dangerous for their surrounding. Thesis describes detection methods for object detection from digital image. Thesis also contains description of used YOLO neural network and description of methods for image comparison. Text also describes implemented algorithm for object tracking and algorithm for detection of ownership. Result of this thesis is program, able to detect deferred luggage based on it's movement and ownership.
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Detection algorithms of moving objects
Novotný, Josef ; Mikulka, Jan (referee) ; Marcoň, Petr (advisor)
This work deals with detection methods of moving objects. This thesis contains a research of available solutions for further implementation on the Raspberry Pi using the OpenCV library. The aim of the thesis is to realize a module that is capable of detecting and recognizing moving objects in the sky. Required objects can be detected in static or dynamic mode. In the theoretical part of the thesis are methods divided into motion detection, object detection and object recognition. In the practical part were for detection of undesired objects selected a background subtraction method and the localization of significant ORB points. Haar feature-based cascade classifiers was for recognition of learned objects chosen. In the practical part, methods were of computational difficulty and detection success tested. The result is an automatic detection device that allows to watch and distinguish unwanted objects in the sky.
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Number Plate Recognition using Deep Learning Techniques
Dobrovský, Ladislav ; Dvořák, Jiří (referee) ; Matoušek, Radomil (advisor)
Focus of this thesis is research of deep convolutional artificial neural networks and their usage as solution to automatic license plate recognition problem. After summary of theory and current trends the further direction of development has been chosen. Thesis investigates several types of convolutional neural networks and complex architecture of system of collaborating applications. In practical part is described implementation and results of experiments with assessment of networks’ suitability for practical use.
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Detection of car approach speed using camera imge processing
Kovář, Jan ; Číka, Petr (referee) ; Šmirg, Ondřej (advisor)
The thesis deals with digital image processing, from the initial acquisition of digital picture frames, subsequent processing segmentation and algorithms to detect visual shapes on the scene. Image processing is a very broad topic, so here are analyzed for more understanding of the fundamental principles of perception and processing of video signals, image representation, his starting shooting through filters governing digital image processing methods to detect the objects in an image. It is also demonstrated by the size dependence of the object in the image on the distance from the camera, whereby we can determine the speed of approaching or moving away from the object. We will show you the specific determination of the distance we need to know the actual result size of the object. This is because the ratio between the size of the object depending on the distance is the same for each object. Finally, this work presents the resulting image frames for implementation using OpenCV library.
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Robotics Gun Turret for Perimeter Guarding - Target Detection
Kaplenko, Mykola ; Kopečný, Lukáš (referee) ; Žalud, Luděk (advisor)
The basis for the efficient operation of any autonomous device are control algorithms. Therefore, the bachelor thesis is dedicated to the management problems one of the most promising types of weapon - automatic weapon towers. In the framework of the given work there is an overview of the object detection methods in the picture and comparing the advantages and disadvantages of using different methods in different surrounding conditions. On the basis of the analysis, the light mark detecting algorithm (red dot from the laser pointer) is designed. The stepper motor control algorithm of the automatic weapon tower is designed on the basis on the performed theoretical calculations. For the declared algorithms are offering possible improvements and analyzing their strengths and weaknesses.
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Robocar - The Autonomous Driving
Hnát, Miroslav ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
In my Bachelor thesis I deal with automated car driving requirements. First I make the real plan and select the correct software tool for simulation and realization this issues. Second I solve model for autonomous car driving simulation, breaking and rotation wheels. There is open area with several obstacles in simulation conditions. I define possibly errors and I recommend its solution. Next very important part of my thesis are identify the parameters of real vehicle and verification the correctness of model by simulation test. I review variances from model. The object of this has to check reactions of the real system. Whole solution will be implemented into individual components. The individual components will be then compared with simulation results. In conclusion I will appreciate achieved results and recommend my solutions.
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Robocar - The Autonomous Driving
Hnát, Miroslav ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
In my Bachelor thesis I deal with automated car driving requirements. First I make the real plan and select the correct software tool for simulation and realization this issues. Second I solve model for autonomous car driving simulation, breaking and rotation wheels. There is open area with several obstacles in simulation conditions. I define possibly errors and I recommend its solution. Next very important part of my thesis are identify the parameters of real vehicle and verification the correctness of model by simulation test. I review variances from model. The object of this has to check reactions of the real system. Whole solution will be implemented into individual components. The individual components will be then compared with simulation results. In conclusion I will appreciate achieved results and recommend my solutions.
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