|
|
Detection of objects for industrial robots using computer vision
Huber, Michal ; Škrabánek, Pavel (referee) ; Parák, Roman (advisor)
The aim of this bachelor thesis is to create an image processing algorithm based on data captured by camera. Introduction of this thesis deals with the current situation of object detection in industrial applications and briefly presents Raspberry Pi and OpenCV library. Following chapters deal with Raspberry Pi setup, test objects design and captured pictures modifications. Last section of these chapters is devoted to a design of an image processing algorithm. The conclusion of this thesis deals with a design of vizualization interface and also describes a laboratory experiment to test the functionality of a designed algorithm.
|
|
|
Consolidation and processing of data from a permanent GNSS station CADM
Nosálková, Karolína ; Kuruc, Michal (referee) ; Nosek, Jakub (advisor)
The aim of this bachelor's thesis was to process and the quality control check of the data from the permanent CADM station. The CADM station is located in the AdMaS research center. The raw observation data from 2018-2021 were converted to the standard RINEX format with a sampling frequency of 10s and 30s. GNSS data quality control was performed using the G-NUT / Anubis program. The daily coordinates of the station were calculated in the Trimble Business Center program with a connection to the nearest EUREF Permanent Network stations. The processing of time series of coordinates and the calculation of the resulting ETRF2000 coordinates were performed using own scripts in the MATLAB programming.
|
|
|
Consolidation and processing of data from a permanent GNSS station CADM
Nosálková, Karolína ; Kuruc, Michal (referee) ; Nosek, Jakub (advisor)
The aim of this bachelor's thesis was to process and the quality control check of the data from the permanent CADM station. The CADM station is located in the AdMaS research center. The raw observation data from 2018-2021 were converted to the standard RINEX format with a sampling frequency of 10s and 30s. GNSS data quality control was performed using the G-NUT / Anubis program. The daily coordinates of the station were calculated in the Trimble Business Center program with a connection to the nearest EUREF Permanent Network stations. The processing of time series of coordinates and the calculation of the resulting ETRF2000 coordinates were performed using own scripts in the MATLAB programming.
|
|
|
Defect Detection In Fibered Material Using Methods Of Machine Learning
Lang, Matěj
SILON s.r.o is manufacturer of polyester fibres which get used in wide range of applications, many of them requiring highest quality material. Due to manufacturing processes, some fibres are not drawn properly and stay in the fiber as bundles, or brittle, thick threads. Proposed lab station should automate process of quality check of each batch. It consists of linescan camera scanner and computer with software for detection and analysis of defects.
|
|
|
Detection of objects for industrial robots using computer vision
Huber, Michal ; Škrabánek, Pavel (referee) ; Parák, Roman (advisor)
The aim of this bachelor thesis is to create an image processing algorithm based on data captured by camera. Introduction of this thesis deals with the current situation of object detection in industrial applications and briefly presents Raspberry Pi and OpenCV library. Following chapters deal with Raspberry Pi setup, test objects design and captured pictures modifications. Last section of these chapters is devoted to a design of an image processing algorithm. The conclusion of this thesis deals with a design of vizualization interface and also describes a laboratory experiment to test the functionality of a designed algorithm.
|
|
|
Impact of the customer satisfaction and other indicators on company`s market share
Dvořáková, Monika ; Sedláček, Jiří (advisor) ; Skala, David (referee)
In the present hypercompetitive market environment of car producers established especially at the developed west european markets is very difficult to gain new customers and increase the market share. The car producing companies have to build and increase customer loyalty to ensure the sustainable growth of market share in the future. One possibility how to improve customer's loyality to brand is to provide the highest standard at both sales and service department and carefully monitor the customer satisfaction. From the satisfaction and performance indicators of the car producing company is possible to construct a mathematical model producing the market share in a given country as an output. Key indikators of customer satisfaction, sales and service and also the macroeconomical data has been used as the inputs for the model. As a target market for my analysis has been chosen Germany. This thesis presents a set of recommendations and proposals, whose implementation should ensure the improvement of the market share of the given brand on german market. The recommendation does not include only the tips for improvement of the key indicators but it also gives the overview of how to make the marketing strategy more efficient using Customer relationship management.
|
guest ::
