ISSN 0914-4935

Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Automatic Optical Apparatus for Inspecting Bearing Assembly Defects

Jhan-Hong Ye and Quang-Cherng Hsu

(Received March 28, 2018; Accepted September 11, 2018)

Keywords: machine vision, optical inspection, automobile, metal product, unidirectional bearing

In this study, an inspection apparatus including offline and online inspection systems that are highly efficient is developed for the unidirectional bearing of automobiles. To avoid the influence of outside factors and ambient light, the proposed system, which includes a lighting source, image capture device, and sensor, is placed in a dark room as a controlled environment for offline inspection. Furthermore, rule-based algorithms for local mask sensors are developed to overcome the highly reflective characteristic of metallic material and thus assist online inspection. The inspection process of the system is mainly divided into three parts: central positioning of the device under test (DUT), blob analysis, and identification units of needles. After testing, the correct inspection rates for offline and online inspection systems of the proposed system are 100 and 99.94%, respectively.

Corresponding author: Quang-Cherng Hsu




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