IJCA Vol 4 i1 2025 webmag - Flipbook - Page 42
42 The International Journal of Conformity Assessment
AI Solution:
GE adopted AI-powered vision systems combined
with machine learning algorithms to automate the
inspection of blade geometry and surface 昀椀nish.
These systems analyze thousands of features
in real time, identify any deviations from design
speci昀椀cations, and recommend corrective actions.
Case Study 3: Zeiss Group (Germany) – Deep Learning
Integration with Coordinate Measuring Machines
(CMMs)
Impact:
• Reduced inspection time by 40%
• Enhanced consistency in quality control
• Enabled real-time conformity assessments during
manufacturing
• Decreased rates of rework and scrap
Challenge:
Integrating AI with Coordinate Measuring Machine
(CMM) hardware presents signi昀椀cant technical
challenges. AI models must be frequently updated to
maintain accuracy, and specialized training is required
to manage variations in part geometry and tolerance
levels across different production environments.
Case Study 2: Siemens AG (Germany) – Smart
Calibration and Digital Metrology in Advanced
Manufacturing
Company: Siemens AG
Application: AI-driven calibration and smart metrology
in advanced manufacturing and industrial automation
Challenge:
Siemens operates cutting-edge manufacturing
plants where measurement accuracy is crucial for
product safety and performance—especially in energy,
transport, and medical sectors. Traditional calibration
methods were slow, inconsistent, and lacked real-time
feedback.
AI Solution:
Siemens introduced AI-powered metrology systems
within its digital factories. These systems use
machine learning and sensor-integrated tools to:
• Automate real-time dimensional and geometric
measurements
• Predict calibration needs based on historical
performance data
• Generate ISO/IEC 17025-compliant Digital
Calibration Certi昀椀cates (DCCs)
• Integrate edge AI and cloud analytics through the
Siemens MindSphere platform
• Employ AI-enhanced Coordinate Measuring
Machines (CMMs)
• Offer real-time dashboards for predictive quality
control
Impact:
• Cut calibration time by 30%
• Improved 昀椀rst-pass yield by 25%
• Enabled predictive maintenance and reduced
calibration-related downtime
• Enhanced compliance with secure, blockchain-based
digital calibration records
Company: Zeiss Group (Germany, global operations)
Application: AI-enhanced Coordinate Measuring
Machines (CMMs)
AI Solution:
Zeiss developed ZEISS Inspect AI—an intelligent
platform that combines deep learning with CMMs to
automate 3D measurements and detect part defects
based on past inspection data. The system adjusts its
inspection strategy dynamically depending on the part
and production environment.
Impact:
• Speeds up decision-making with automated analysis
• Optimizes measurement cycles with adaptive
routines
• Monitors production quality in real-time
• Boosts productivity in sectors like automotive and
medical devices
AI also supports predictive calibration, minimizes
manual errors, and ensures traceability with
standards like ISO/IEC 17025—reinforcing quality and
consistency in high-precision industries.
Case Study 4: P&R Measurement (China) – Natural
Language and AI-Driven Test Automation
Company: P&R Measurement
Application: Smart metrology, quality assurance, and
automated calibration in industrial settings
Challenge:
Interpreting natural language instructions can be
di昀케cult for AI systems, particularly when commands
are unclear or lack context. Additionally, integrating
AI into complex test environments demands robust
data processing and continuous retraining to adapt to
evolving products and test scenarios.
AI Solution:
At CES 2025, P&R unveiled PRIME, an AI assistant
that translates natural language into engineering
commands. This allows operators to set up complex
measurement systems through simple verbal or
