Cyber-physical inspection systems for high-accuracy industrial operations: standards-aligned architecture and...

Area of Science:

• Industrial Automation
• Manufacturing Systems Engineering
• Cyber-Physical Systems

Background:

• High-accuracy industrial operations require inspection systems that are precise, scalable, traceable, and regulatory compliant.
• Current manual inspection workflows can be time-consuming and may lack the repeatability needed for critical features.

Purpose of the Study:

• To present a pilot cyber-physical inspection architecture for regulated manufacturing environments.
• To validate the integration of collaborative robotics, structured-light scanning, and industrial IoT for enhanced inspection.
• To compare the performance of the proposed system against traditional manual inspection workflows.

Main Methods:

• Development and physical implementation of a cyber-physical inspection system.
• Integration of robotic surface preparation and dimensional evaluation using Zeiss ScanBox.
• Conducting Gauge R&R studies to assess repeatability and cycle time improvements.

Main Results:

• Validated subsystems demonstrated improved repeatability and reduced cycle times for critical features.
• Physical testing in a controlled production environment confirmed system performance benchmarks.
• Comparative analysis showed advantages of the robotic inspection modality over manual methods.

Conclusions:

• The proposed cyber-physical inspection framework is a replicable model for high-accuracy manufacturing.
• The system supports future scalability, predictive quality control, and regulatory alignment (ISO 13,485, FDA 21 CFR Part 11).
• The architecture facilitates digital transformation and potential multi-site rollout in manufacturing.