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Journal : International Journal of Artificial Intelligence Research

Application of Computer Vision and Pattern Recognition in Automated Quality Inspection of Industrial Products Nurdiyanto, Heri; Kindiasari, Aktansi; Sulistiyanto, Sulistiyanto
International Journal of Artificial Intelligence Research Vol 9, No 2 (2025): December
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i2.1507

Abstract

Quality inspection is a critical process in industrial production to ensure that products meet predefined standards and specifications. Traditionally, quality inspection has relied heavily on manual visual checks, which are time-consuming, subjective, and prone to human error. This study explores the application of computer vision and pattern recognition techniques to develop an automated quality inspection system for industrial products. The proposed system employs high-resolution cameras and image processing algorithms to capture and analyze visual features of products in real-time on the production line. Key techniques utilized include feature extraction, edge detection, and texture analysis to identify defects such as scratches, dents, and dimensional inaccuracies. Pattern recognition algorithms, such as support vector machines (SVM) and convolutional neural networks (CNN), are trained on large datasets of product images to classify items as acceptable or defective with high accuracy. The system was tested on a dataset collected from a manufacturing facility producing metal components. Experimental results demonstrate that the automated system achieved an inspection accuracy of 98%, significantly outperforming manual inspection methods in terms of speed and consistency. Furthermore, the integration of this system into the production line reduced inspection time by approximately 70% and minimized production downtime. This research highlights the potential of intelligent informatics, particularly computer vision and pattern recognition, in enhancing the efficiency, reliability, and scalability of industrial quality control processes. The findings suggest that such automated systems can contribute significantly to the advancement of Industry 4.0 by enabling smart manufacturing practices and reducing dependence on manual labor. Future work will focus on extending the system to handle more complex products and dynamic production environments
Co-Authors Abdil Bar, Moh. Abdul Karim Abdul Mustaqim Abror, Yusron Sulthan Adin, Luthfi Agus Riyanto, Nanda Ahmad Fiqri, Ahmad Ahmad Jailani, Ahmad Ahmad, Tengku Ajiz, Allien Mostiara Rachman Alallah, akil AlBasyi, Ahmad Fulqin Anton, Muhammad Aperilian Damara, Tidar Pangestu Apsiswanto, Untoro Arif Rahman Bachtera Indarto, Bachtera Bahar, Syaiful Bestari, Afif Ghurub Bima Saputra Budi Sutomo, Budi Denny Trias Utomo, Denny Trias Devani, Ferizka Tiara Devyce, Achmad Ebtaria Nadeak, Ebtaria Egga Asoka Ekowati, Masroro Lilik Emeralda Ayu Kusuma Enggar, Ratri Farhan Nuruzzaman, Ahmad Febritama, Dani Ferry Kurniawan, Ferry Firdaus, Mochammad Ferdion Fredy Susanto Furaichan, Ariel Ifdhol Hadits, Nurul Hairunnisa, Afifah Hanif, Muhammad Ubaidillah Al Haqqy, Zetya Maulanal Herlinda Kusmiati Hidaytullah, Aditya Arif Imam Mawardi Indra Satriadi Iskawanto, Hilman Saraviyan IsroAfifi, Muhammad Jesen Karim, Abd Kesuma, Fitrianto Puja Ketut Tirtayasa Khoirudin Khoirudin, Khoirudin Kiani, Yoga Kindiasari, Aktansi Kunio, Nurul Ilma Hasana Kusuma, Fitrianto Puja Lailatur Rahmi Lawahery, Elphido Theopilos Lestari, L. Tri M. Mahbubi Malahayati Malahayati Mardiana Mardiana Marini . Muhammad Adie Saputra, Muhammad Adie Muhammad Hasan Basri Muhammad Nur Ikhsanto, Muhammad Nur Muhammad Reza Redo Islami Muhammad, M Muharni, Sita Natawijaya, Krisna Nouval, Moh. Nur Syamsi Nurdiyanto, Heri Oktapriandi , Sony Pangestu, Galang Pratama, Candra Pratama, M. Rizky Anugrah Prihantoro, Kasih Rahmadanti, Esya Aulia Rahmatullah, Ali Rahmi, Nurlaili Ravie Kurnia Laday Redo, Reza Rehardiningtyas, Dyah Anissa Retno, Sri Rianto, Budi Robiatul Adawiyah Romadhoni, Samsul Arifin Rozi, Deny Fathur Samosir, Amril Saprudin, Usep Saputra, Bayu Adi Saputri, Tri Aristy Shin, YJ Shofiyullah, Moh Shudiq, Wali Ja’far Sigit Andriyanto Sri Umiyati, Sri Sri Widoretno Sudirman Sudirman Surahmat Surahmat, Surahmat Suromo, Imam Syaiful . Syaputra, Muhammad Adie Taufik, Wildan Trimedianto, Arfin Uddin, Ameer Untoro Apsiswanto, Untoro Apsiswanto Utari, Marti Wardatul Jannah, Sutra Wardaya, Awwali Ibnu Warsono, Heribertus Yudho Wati, Ade Sukma Wijaya, Krisna Nata Ximenes, Juvinal Yakin, Ainul Yuli Prasetyo Yulia Hapsari Zainul Abidin Zhao, Chen B