Year: 2024
Type: article
Abstract: During the product System Test phase, it is necessary to determine the passed/failed status of tests by analyzing network signals. A second layer of verification is introduced by using a camera to take pictures triggered by these signals. An image recognition model is used to identify the successful operation of the product (tests passed), by processing the captured images. The main goal of the proposed method is the improvement of quality assurance techniques. The possibility of automated defect detection in the manufacturing process will lead to improved productivity, higher product quality, and transparency in reporting.
Authors: Cătălin Stan, Răzvan Toghe, Iulia Văidian
Institution: Marquardt (Germany)
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: European Commission
OpenAlex ID: W4405540450