Razvoj sistema za odkrivanje napak sintranih izdelkov z uporabo strojnega vida
diplomsko delo
Abstract
Diplomsko delo zajema načrtovanje sistema kontrole s pomočjo strojnega vida. Iskali smo nepravilnosti na določeni vrsti sintranih proizvodov. Uporabili smo različni kameri in osvetlitvi ter v programskih okoljih Omron in National Instruments razvili sistema, ki poškodovane kose uspešno prepoznata. Rezultate testiranj smo analizirali in podali ugotovitev, kateri izmed sistemov bi bil boljši za industrijsko uporabo. Programska oprema podjetja National Instruments se je izkazala za boljšo – z njo smo pravilno ovrednotili vse obravnavane slike.
Keywords
sintranje;strojni vid;kontrola kakovosti;diplomske naloge;
Data
| Language: | Slovenian |
|---|---|
| Year of publishing: | 2018 |
| Typology: | 2.11 - Undergraduate Thesis |
| Organization: | UM FS - Faculty of Mechanical Engineering |
| Publisher: | [J. Rebevšek] |
| UDC: | 658.562.4.004.93(043.2) |
| COBISS: |
22239766
|
| Views: | 1085 |
| Downloads: | 101 |
| Average score: | 0 (0 votes) |
| Metadata: |
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Other data
| Secondary language: | English |
|---|---|
| Secondary title: | Development of a system for failure inspection of sinter parts with machine vision |
| Secondary abstract: | The diploma work includes planning the system of control with machine vision. We were searching for irregularities on certain sintered products. With the use of different cameras and lighting we developed two systems using Omron and National Instruments software. The damaged parts have been successfully recognised. The results of testing have been analysed and an opinion has been made about which system is better for industrial use. National Instruments software proved to be better – all the pictures we dealt with were inspected correctly. |
| Secondary keywords: | sintering;machine vision;quality control; |
| URN: | URN:SI:UM: |
| Type (COBISS): | Bachelor thesis/paper |
| Thesis comment: | Univ. v Mariboru, Fak. za strojništvo, Proizvodno strojništvo |
| Pages: | XI, 42 str. |
| ID: | 10950348 |
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