A Detection Method Combining Machine Vision And Resistance Analysis for the Wiring Harnesses of Refrigerator Temperature Sensors

• Published in: IAENG international journal of computer science Vol. 51; no. 6; p. 703
• Main Authors: Huang, Shijian, Ding, Shiyin, Yuan, Shengzhao, Li, Mingming, Tan, Yong, Yue, Fan, Dang, Suihu
• Format: Journal Article
• Language: English
• Published: Hong Kong International Association of Engineers 01.06.2024
• Subjects: Freezing; Machine vision; Refrigerators; Sensors; Temperature sensors; Vision systems; Wiring harnesses
• ISSN: 1819-656X; 1819-9224

-It is the refrigerator that is frequently used in homes. Freezing and refrigerating temperature sensors are significant temperature-sensing components in the refrigerator. However, it is simple to insert the temperature sensor wires erroneously during the manufacturing process. Currently, there is no effective method to detect the correctness of the wiring harnesses. We propose a novel detection method that combines machine vision and resistance analysis for the wiring harnesses of refrigerator temperature sensors. We utilized machine vision technology to determine the color and insertion position of each wire in the wiring harnesses. We distinguish the types of sensors by analyzing the resistance range of the temperature sensors. We combine two approaches to detect the wiring harnesses connecting the temperature sensors. The experimental results demonstrate that the proposed method can effectively detect the correctness of the wiring harnesses connecting the temperature sensors, and the accuracy reaches 99.19%. The proposed method has a good generalization in other electrical wiring harness detection problems.