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

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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.

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# Production line automation# photodetector sensors# object orientation detection# robotics manipulators# manufacturing accuracy# industrial sensor technology

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Maqola idintifikatorlari

Foydalanilgan adabiyotlar

1. S. A. Vorotnikov “Information devices of robotic systems: A tutorial,” (in. Russian), ISBN 5-7038-2207-6, M.: Baumana, p. 384, 2005. 2. V. I. Syrjamkin “Information devices and systems in robotics and mechatronics: A tutorial,” (in. Russian), ISBN 978-5-7511-2443-4, Tomsk, p. 524, 2016.

3. I. N. Yegorov, “Position-force control of robotic and mechatronic devices: monograph,” (In. Russian) Vladim. nat. un-ty, p. 192, 2010. 4. X.N.Nazarov, Intelligent multi-coordinate mechatronic modules of robotic systems,” (In. Russian), Monografiya, Toshkent, “Mashxur-Press”, p. 143, 2019. 5. G. Ol'son, “Dynamic analogies,” (in. Russian), Publishing House of Foreign Literature, Moskva, p. 334, 1947.

6. M. J. Grigorij and G.Ja.Mirskij, “Measuring time intervals,” (In. Russian). - M.-L.: Jenergija, p. 72, 1964. 7. M. F. Zaripov, A. M. Mamadzhanov and I.Ju.Petrova, “Analysis of dynamic characteristics of control system elements using structural diagrams,” (in. Russian), Study guide, Tashkent, 1978. 8. M. F. Zaripov and I. Ju. Petrova, “Problems of development of information element base of control systems and computer technology,” (in. Russian), Preprint of the Bashkir Branch of the USSR Academy of Sciences, Ufa, p. 345, 1979. 9. S. S. Hodzhaev and Zh. Je. Muhitdinov, “On a system of analogies of physical quantities Theory and machine design of circuits and systems,” (in. Russian), Collection of scientific papers. Tashkent p. 288, 1979.

10. B. D. Cullity, “Introduction to Magnetic Materials, Reading,” MA: Addison-Wesley, 1972, Section 8.5, 266– 274. 11. W. J. Fleming, Magnetostrictive torque sensors— comparison of branch, cross and solenoidal designs, SAE Paper No. 900264, 1990. 12. V. V. Tsypkina, V. P. Ivanova and K. K. Jurayeva Cable conductor of cabling and wiring products based on composite materials for transport systems. E3S Web of Conferences, 2023, 401, 03036. 13. S. Amirov, M. Yakubov, K. Jurayeva, and S. Saydivaliyev, “Features of spectral vibration diagnostics of traction power transformers in high-speed motion”, E3S Web of Conferences, 2023, 401, 04002.

14. K. K. Jurayeva, Z. G. Nazirova and U. S. Mamadaliyev, “Increasing the sensitivity of magnetoelastic sensors using the energy-information method”, AIP Conference Proceedings, 2023, 2476, 020013. 15. Yong-Yi Fanjiang and Shih-Wei Lu., “Dynamic Synchronous Capture Algorithm for an Electromagnetic Flowmeter,” Journal Sensors. 17, 821. pp 2-15. 16. O. Masharipov, D. Matyakubov, O. Olimov and I. Omonov, “Ways to further improve reliability of optical systems for transmitting large volumes of information”, AIP Conf. Proc. 27 November 2024; 3244 (1): 030042. https://doi.org/10.1063/5.0242051.

17. S.Djabborov, I. Omonov, A. Bekimetov and G. Artikova, “Use of Modern Routing Methods in Data Transmission Networks,” 2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM), Altai, Russian Federation, 2024, pp. 570- 573, https://doi:10.1109/EDM61683.2024.10614990. 18. I.N.Scherbak, “Using force-torque sensors in manipulator control systems,” (in. Russian), Journal Proceedings of CIS higher education institutions and power engineering associations №4, pp. 34-41, 2003.

1. S. A. Vorotnikov “Information devices of robotic systems: A tutorial,” (in. Russian), ISBN 5-7038-2207-6, M.: Baumana, p. 384, 2005. 2. V. I. Syrjamkin “Information devices and systems in robotics and mechatronics: A tutorial,” (in. Russian), ISBN 978-5-7511-2443-4, Tomsk, p. 524, 2016.

3. I. N. Yegorov, “Position-force control of robotic and mechatronic devices: monograph,” (In. Russian) Vladim. nat. un-ty, p. 192, 2010. 4. X.N.Nazarov, Intelligent multi-coordinate mechatronic modules of robotic systems,” (In. Russian), Monografiya, Toshkent, “Mashxur-Press”, p. 143, 2019. 5. G. Ol'son, “Dynamic analogies,” (in. Russian), Publishing House of Foreign Literature, Moskva, p. 334, 1947.

6. M. J. Grigorij and G.Ja.Mirskij, “Measuring time intervals,” (In. Russian). - M.-L.: Jenergija, p. 72, 1964. 7. M. F. Zaripov, A. M. Mamadzhanov and I.Ju.Petrova, “Analysis of dynamic characteristics of control system elements using structural diagrams,” (in. Russian), Study guide, Tashkent, 1978. 8. M. F. Zaripov and I. Ju. Petrova, “Problems of development of information element base of control systems and computer technology,” (in. Russian), Preprint of the Bashkir Branch of the USSR Academy of Sciences, Ufa, p. 345, 1979. 9. S. S. Hodzhaev and Zh. Je. Muhitdinov, “On a system of analogies of physical quantities Theory and machine design of circuits and systems,” (in. Russian), Collection of scientific papers. Tashkent p. 288, 1979.

10. B. D. Cullity, “Introduction to Magnetic Materials, Reading,” MA: Addison-Wesley, 1972, Section 8.5, 266– 274. 11. W. J. Fleming, Magnetostrictive torque sensors— comparison of branch, cross and solenoidal designs, SAE Paper No. 900264, 1990. 12. V. V. Tsypkina, V. P. Ivanova and K. K. Jurayeva Cable conductor of cabling and wiring products based on composite materials for transport systems. E3S Web of Conferences, 2023, 401, 03036. 13. S. Amirov, M. Yakubov, K. Jurayeva, and S. Saydivaliyev, “Features of spectral vibration diagnostics of traction power transformers in high-speed motion”, E3S Web of Conferences, 2023, 401, 04002.

14. K. K. Jurayeva, Z. G. Nazirova and U. S. Mamadaliyev, “Increasing the sensitivity of magnetoelastic sensors using the energy-information method”, AIP Conference Proceedings, 2023, 2476, 020013. 15. Yong-Yi Fanjiang and Shih-Wei Lu., “Dynamic Synchronous Capture Algorithm for an Electromagnetic Flowmeter,” Journal Sensors. 17, 821. pp 2-15. 16. O. Masharipov, D. Matyakubov, O. Olimov and I. Omonov, “Ways to further improve reliability of optical systems for transmitting large volumes of information”, AIP Conf. Proc. 27 November 2024; 3244 (1): 030042. https://doi.org/10.1063/5.0242051.

17. S.Djabborov, I. Omonov, A. Bekimetov and G. Artikova, “Use of Modern Routing Methods in Data Transmission Networks,” 2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM), Altai, Russian Federation, 2024, pp. 570- 573, https://doi:10.1109/EDM61683.2024.10614990. 18. I.N.Scherbak, “Using force-torque sensors in manipulator control systems,” (in. Russian), Journal Proceedings of CIS higher education institutions and power engineering associations №4, pp. 34-41, 2003.

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