[국제학술대회] Fault Detection Using Canny Edge Detection and Mask R-CNN in Injection Molding of Manufacturing Processes
- 이재언
- 조회수1101
- 2021-04-01
-Title: Fault Detection Using Canny Edge Detection and Mask R-CNN in Injection Molding of Manufacturing Processes
-Journal/Conference: In 2021 4th International Conference on Control and Computer Vision (ICCCV’21), pp. 70-75, August 13–15, 2021
-Authors: Jaeen Lee, Jaehyung Lee, Chaegyu LEE, and Jongpil JEONG
-DOI: https://doi.org/10.1145/3484274.3484286
-Journal/Conference Link: http://www.icccv.org
-Abstract:
In various injection molding manufacturing plants, there are many difficulties in detecting defective products during production. Since there are limitations in detecting product defects with the human eye, this paper proposes a framework for detecting product defects in a human-free manufacturing environment. We detect product defects using Canny Edge Detection, a powerful edge detector, and provide reliability of products detected using Mask R-CNN, a neural network with excellent speed and accuracy. As the network, the ResNet101 network with the highest accuracy was selected, and the network was used as the backbone network of Mask R-CNN, and the image was resized and sized using LEDs when shooting to detect even small scratches.