Abstract
A car side-outer is an iron mold that is applied in the design and safety of the side of a vehicle, and is subjected to a complicated and detailed molding process. The side-outer has three features that make its quality inspection difficult to automate: (1) it is large; (2) there are many objects to inspect; and (3) it must fulfil high-quality requirements. Given these characteristics, the industrial vision system for the side-outer is nearly impossible to apply, and indeed there is no reference for an automated defect-inspection system for the side-outer. Manual inspection of the side-outer worsens the quality and cost competitiveness of the metal-cutting companies. To address these problems, we propose a large-scale Object-Defect Inspection System based on Regional Convolutional Neural Network (R-CNN; RODIS) using Artificial Intelligence (AI) technology. In this paper, we introduce the framework, including the hardware composition and the inspection method of RODIS. We mainly focus on creating the proper dataset on-site, which should be prepared for data analysis and model development. Additionally, we share the trial-and-error experiences gained from the actual installation of RODIS on-site. We explored and compared various R-CNN backbone networks for object detection using actual data provided by a laser-cutting company. The Mask R-CNN models using Res-net-50-FPN show Average Precision (AP) of 71.63 (Object Detection) and 86.21 (Object Seg-mentation), which indicates a better performance than that of other models.
Highlights
In the automotive industry, a side-outer is an iron mold that is applied to a vehicle’s design and safety by means of a complicated and detailed molding process
We found that the Mask Regional Convolutional Neural Network (R-Convolutional Neural Networks (CNNs)) model using Resnet-50-Feature Pyramid Network (FPN) showed an Average Precision (AP) of 71.63 (Object Detection) and
This paper presents RODIS to perform defect inspection of large objects, such as side-outers
Summary
A side-outer is an iron mold that is applied to a vehicle’s design and safety by means of a complicated and detailed molding process. A side collision is the type of car accident that most significantly threatens drivers’ safety. Hot stamping is a technique that makes light and strong parts by placing steel materials heated to more than 950 ◦ C into the press and cooling them rapidly with a hot stamping technique of more than 1500 MPa or more [2]. The side-outer is not processed by the commonly used press manufacturing, but by three-dimensional (3D) laser-cutting. “Telstar”, a laser-cutting company located in Gyeongju City, Republic of
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