Faculty of Mechanical Engineering, Lj. (FSLJ)
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Zaznavanje obrazov z OpenMV modulom za prilagajanje modernega montažnega mesta delavcem : zaključna naloga univerzitetnega študijskega programa I. stopnje StrojništvoŠtupar, NivesV sklopu Industrije 4.0 predstavlja pomemben in dostikrat spregledan segment tudi ergonomija in aktivno prilagajanje ročnega montažnega mesta delavcu. Za prilagoditev ročnega montažnega mesta je ... potrebno delavca prepoznati, kar se trenutno največkrat izvaja s pomočjo RFID kartice ali vpisom kode delavca. Vendar pa imajo ti sistemi številne pomanjkljivosti kot so npr. izguba časa, stalno nošenje RFID kartice ipd. Zato smo v zaključni nalogi razvili sistem za prepoznavanje obrazov, ki ga bomo v prihodnosti uporabili za prilagajanje ročnega montažnega mesta v pametni tovarni, ki je glavna ideja industrije 4.0. Na začetku smo predstavili osnove Industrije 4.0, ergonomijo ročnega montažnega mesta, RFID in ostale načine identifikacije, ki so potrebni za razumevanje koncepta 4.0. Nato je sledil razvoj algoritma za prepoznavanje obrazov z OpenMV modulom. Z uporabo OpenCV knjižnic smo razvili program, ki primerja zajeto sliko z interno bazo obrazov. Glede na ujemanje izbere najboljši približek in izpiše ime zaznane osebe. Na koncu smo izvedli analizo razvitega algoritma s petimi različnimi osebami in petimi ponovitvami, s čimer smo potrdili delovanje sistema.Type of material - undergraduate thesis ; adult, seriousPublication and manufacture - Ljubljana : [N. Štupar], 2017Language - slovenianCOBISS.SI-ID - 15795483
Author
Štupar, Nives
Other authors
Herakovič, Niko
Topics
diplomske naloge |
industrija 4.0 |
ročna montaža |
strojni vid |
OpenMV |
prepoznavanje obraza |
industry 4.0 |
hand assembly |
machine vision |
OpenMV |
face recognition
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Štupar, Nives | ![]() |
Herakovič, Niko | 10499 |
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