20.500.12556/DKUM-89765 Prepoznavanje oblik objektov z uporabo 3D kamere SICK Ranger3 Object shape recognition using 3D camera SICK Ranger3 V diplomski nalogi je predstavljen razvoj, izgradnja, programiranje in rezultati sistema, ki natančno izdela 3D posnetek obravnavanega objekta in je zmožen prepoznati okrogle in pravokotne oblike s tega 3D posnetka. Prav tako se je sistem zmožen naučiti celotne oblike objekta preko prepoznavanja robov z uporabo 3D kamere SICK Ranger3 in senzorskega integracijskega modula SICK SIM4000. S tem sistemom bi se lahko pospešil postopek pregledovanja izdelkov v proizvodnji, hkrati pa močno zvišala natančnost pregledovanja izdelkov, kar bi zvišalo nivo kvalitete. The thesis presents the development, construction, programming, and results of a system that accurately creates a 3D image of the object in question and is capable of recognizing circular and rectangular shapes from this 3D image. The system is also able to learn the entire shape of the object through edge recognition using the SICK Ranger3 3D camera and the SICK SIM4000 sensor integration module. This system could speed up the product inspection process in manufacturing while significantly increasing the accuracy of product inspections, thereby raising the quality level. SICK 3D kamera prepoznavanje oblik učenje oblike kontrola kakovosti SICK 3D camera shape recognition shape learning quality control true true false [S. Zadravec] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2024-08-10 18:21:12 2024-09-19 16:25:45 2024-12-17 08:39:42 0000-00-00 00:00:00 2024 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.932.72'1(043.2) 219378179 UN_Zadravec_Samo_2024.pdf UN_Zadravec_Samo_2024.pdf 1 57F620B2F121BC6B629E1D8D9E98CA3F 5e0924a49c99a5b1da633fa8d3f799cd3bc420b98948db56f585bde9390e312f 4675d861-5e53-11ef-9891-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=182686 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0