The diploma thesis deals with the industrial inspection of correctly made connectors based on computer recognition, and the detection and recognition application is implemented in Python on the Raspberry Pi platform.The work uses empirically known OpenCV library for recognition. The work also deals with the selection of suitable hardware devices, which are a camera with a lens and an illuminator, from which is created one compact device together with the Raspberry Pi microcomputer. The compact device is further mounted on the designed mechanical structure under which is created inspection zone. Finally, Raspberry Pi has a web-based user interface to check the inspection and the interface to write the data to the database.
Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:402129 |
Date | January 2019 |
Creators | Bubeník, Martin |
Contributors | Janáková, Ilona, Honec, Peter |
Publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií |
Source Sets | Czech ETDs |
Language | Slovak |
Detected Language | English |
Type | info:eu-repo/semantics/masterThesis |
Rights | info:eu-repo/semantics/restrictedAccess |
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