Izvorni znanstveni članak

https://doi.org/10.31803/tg-20230220172540

AI Machine Vision based Oven White Paper Color Classification and Label Position Real-time Monitoring System to Check Direction

Hee-Chul Kim ; Gwangju University, 277 Hyodeok-ro, Nan-gu, Gwangju, Korea, 61743
Youn-Saup Yoon ; Gwangju University, 277 Hyodeok-ro, Nan-gu, Gwangju, Korea, 61743
Yong-Mo Kim ; Division of Convergence Design, Major Visual Communication Design, Gwangju University, 277 Hyodeok-ro, Nan-gu, Gwangju, Korea, 61743

Sažetak

We develop a vision system for batch inspection by oven white paper model color by manufacturing a machine vision system for the oven manufacturing automation process. In the vision system, white paper object detection (spring), color clustering, and histogram extraction are performed. In addition, for the automated process of home appliances, we intend to develop an automatic mold combination detection algorithm that inspects the label position and direction (angle/coordinate) using deep learning.

Ključne riječi

angle; color image processing; coordinate determination; machine vision; optimal operation; production management

Hrčak ID:

301538

URI

https://hrcak.srce.hr/301538

Datum izdavanja:

15.6.2023.

Posjeta: 947 *