| Title: | Design of an Embedded Position Sensor with Sub-mm Accuracy : magistrsko delo |
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| Authors: | ID Nogić, Matej (Author) ID Brezočnik, Zmago (Mentor) More about this mentor...  ID Schröck, Sebastian (Comentor) |
| Files: | MAG_Nogic_Matej_2019.pdf (18,20 MB) MD5: 5EA53FD47C5ED5FEE4128E064D0EB0DA PID: 20.500.12556/dkum/c075a63e-e625-46d5-8d1f-accdaddc9dff
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| Language: | English |
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| Work type: | Master's thesis/paper |
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| Typology: | 2.09 - Master's Thesis |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | This master’s thesis presents the development of a machine-vision based localization unit developed at Robert Bosch GmbH, Corporate Sector Research and Advance Engineering in Renningen, Germany. The localization unit was developed primarily for position detection purposes with three degrees of freedom in highly versatile manufacturing systems but has an immense potential to be used anywhere where a precise, low-cost localization method on a two-dimensional surface is required. The complete product development cycle was carried out, from the components selection, schematic and optical system design, to the development of machine vision algorithms, four-layer Printed Circuit Board design and evaluation using an industrial robot. Thanks to the use of a patented two-dimensional code pattern, the localization unit can cover a surface area of 49 km2. The size and speed optimized, self-developed machine-vision algorithms running on a Cortex-M7 microcontroller allow achieving an accuracy of 100 µm and 60 Hz refresh rate. |
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| Keywords: | localization, machine-vision, code pattern, image sensor, embedded system |
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| Place of publishing: | Maribor |
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| Place of performance: | Maribor |
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| Publisher: | [M. Nogić] |
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| Year of publishing: | 2019 |
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| Number of pages: | X, 92 f. |
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| PID: | 20.500.12556/DKUM-74062  |
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| UDC: | 681.586.5(043.2) |
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| COBISS.SI-ID: | 22935574  |
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| NUK URN: | URN:SI:UM:DK:U0STHMUM |
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| Publication date in DKUM: | 14.01.2020 |
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| Views: | 1580 |
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| Downloads: | 75 |
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| Metadata: |  |
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| Categories: | KTFMB - FERI
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