Abstract
Manual visual inspection on assembly lines is a persistent manufacturing bottleneck: operator fatigue over extended shifts lowers defect-detection rates. This paper presents the design, integration, and field deployment of an AI-assisted collaborative inspection cell at the Silverline kitchen-appliance factory, developed within the AI-PRISM project. The cell couples a Universal Robots UR 10e cobot carrying a machine-vision defect-detection pipeline with a Comau Racer-5 cobot for functional tests, coordinated through ROS 2 Humble on an Ubuntu 22.04 LTS server. Multi-modal data (Basler camera imagery, TIA microphone acoustics, and SPS electrical-safety measurements) are logged locally and visualised in real time with Grafana. We report the practical deployment challenges (close-proximity safety, AI robustness under glare and reflections, ROS 2 namespace collisions across two cobots, and operating-system and dependency issues) together with the engineering solutions adopted, and structure the integration through a four-level Human-Robot Interaction analysis. The deployed cell cuts per-unit quality-check time from 82 s to 61 s (about 25%), raises final-control resource efficiency from 0.75 to 0.88, reduces operator visual-inspection viewing time by 82%, and significantly lowers operator mental demand (p = 0.005, NASA-TLX).
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Publication details
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Cite this article
APA 7
Ünal, A., Okasha, A., Çırakman, E., & Ünal, P. (2026). AI-Driven Collaborative Assembly Line Inspection: System Integration and Deployment Challenges. https://omanscience.com/en/articles/ai-driven-collaborative-assembly-line-inspection-system-integration-and-deployment-challenges
MLA 9
Ünal, Asya, et al. "AI-Driven Collaborative Assembly Line Inspection: System Integration and Deployment Challenges." https://omanscience.com/en/articles/ai-driven-collaborative-assembly-line-inspection-system-integration-and-deployment-challenges.
Chicago (author–date)
Ünal, Asya, Amr Okasha, Ege Çırakman, and Perin Ünal. 2026. "AI-Driven Collaborative Assembly Line Inspection: System Integration and Deployment Challenges." https://omanscience.com/en/articles/ai-driven-collaborative-assembly-line-inspection-system-integration-and-deployment-challenges.
Harvard
Ünal, A., Okasha, A., Çırakman, E. and Ünal, P. (2026) 'AI-Driven Collaborative Assembly Line Inspection: System Integration and Deployment Challenges', Available at: https://omanscience.com/en/articles/ai-driven-collaborative-assembly-line-inspection-system-integration-and-deployment-challenges.
Vancouver
Ünal A, Okasha A, Çırakman E, Ünal P. AI-Driven Collaborative Assembly Line Inspection: System Integration and Deployment Challenges. https://omanscience.com/en/articles/ai-driven-collaborative-assembly-line-inspection-system-integration-and-deployment-challenges
IEEE
A. Ünal, A. Okasha, E. Çırakman, and P. Ünal, "AI-Driven Collaborative Assembly Line Inspection: System Integration and Deployment Challenges," https://omanscience.com/en/articles/ai-driven-collaborative-assembly-line-inspection-system-integration-and-deployment-challenges.