DETECTION AND CORRECTION OF OBJECT ORIENTATION ON PRODUCTION LINES USING PHOTODETECTOR-BASED SYSTEMS

Authors

Utkirjon Ubaydullayev, Tashkent State Technical University, Tashkent city, Republic of Uzbekistan, PhD dotsent, https://orcid.org/0000-0002-5808-6148Follow
Elmira Raxmanova, Tashkent State Technical University, Tashkent city, Republic of Uzbekistan, https://orcid.org/0009-0009-0246-3272Follow

Abstract

This article addresses the issue of errors occurring in high-speed production lines, particularly those caused by misalignment or incorrect positioning of manufactured objects. Although production lines have significantly enhanced industrial efficiency worldwide, they are not immune to mistakes, especially under rapid operation conditions. To mitigate these errors without human intervention, the proposed solution integrates photodetector sensor matrices with robotic manipulators. The system uses high-resolution photodetector arrays, such as the Hamamatsu S13774 CMOS Linear Image Sensor, to capture shadows of objects on the production line, converting these into numerical data. This data is then processed using Principal Component Analysis (PCA) and other mathematical techniques to determine the orientation and alignment of objects. Based on this analysis, actuators correct the objects’ positions in real time, ensuring consistent product quality and reducing disruptions. The study demonstrates that although sensor resolution and measurement granularity impact accuracy, leveraging advanced sensors and algorithms can significantly improve manufacturing precision, reliability, and overall productivity.

First Page

43

Last Page

47

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Recommended Citation

Ubaydullayev, Utkirjon and Raxmanova, Elmira (2025) "DETECTION AND CORRECTION OF OBJECT ORIENTATION ON PRODUCTION LINES USING PHOTODETECTOR-BASED SYSTEMS," Technical science and innovation: Vol. 2025: Iss. 4, Article 8.
DOI: https://doi.org/10.59048/2181-1180.1771
Available at: https://btstu.researchcommons.org/journal/vol2025/iss4/8