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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.
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Macroeconomical analysis of a current state of engineering and implementation of findings to a specific company case
Huber, Michal ; Luňáček, Jiří (referee) ; Štroner, Marek (advisor)
This thesis deals with the process of choosing the efficient use of the available space in which the engineering workshop is designed. To decide on the optimal focus of the workshop, a macroeconomic analysis of the Czech economy and Czech industry is used to identify segments that will prosper in the future based on the high added value and margin of their products. Subsequently, the trends of the Czech industry are identified, especially automation, robotization and additive manufacturing. Furthermore, the risks of the sector are also assessed in the form of overdependence of the economy on one segment of the industry, as well as problems in the logistics chain. These findings are then used to design a workshop that will be able to produce products with high added value and margins. A representative product, an ergonomic table, is chosen for its design. The hall is designed using the workstation layout in question for the production of ergonomic tables, as this type of layout can be further developed for automation in the future. At the same time, however, emphasis is placed on the multi-purpose nature of the production hall. On the basis of an economic calculation, the hypothesis is then confirmed that the chosen product has the potential to be sold at a high margin, since its current market price does not correspond to the production costs.
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Macroeconomical analysis of a current state of engineering and implementation of findings to a specific company case
Huber, Michal ; Luňáček, Jiří (referee) ; Štroner, Marek (advisor)
This thesis deals with the process of choosing the efficient use of the available space in which the engineering workshop is designed. To decide on the optimal focus of the workshop, a macroeconomic analysis of the Czech economy and Czech industry is used to identify segments that will prosper in the future based on the high added value and margin of their products. Subsequently, the trends of the Czech industry are identified, especially automation, robotization and additive manufacturing. Furthermore, the risks of the sector are also assessed in the form of overdependence of the economy on one segment of the industry, as well as problems in the logistics chain. These findings are then used to design a workshop that will be able to produce products with high added value and margins. A representative product, an ergonomic table, is chosen for its design. The hall is designed using the workstation layout in question for the production of ergonomic tables, as this type of layout can be further developed for automation in the future. At the same time, however, emphasis is placed on the multi-purpose nature of the production hall. On the basis of an economic calculation, the hypothesis is then confirmed that the chosen product has the potential to be sold at a high margin, since its current market price does not correspond to the production costs.
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|
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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.
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