Smart Data
Smart Data Lab focuses on the fundamentals of machine learning (ML) and its application in manufacturing. It also provides SMEs with insight on how they can use ML in their own manufacturing processes.
ML with Vision
This introduction to ML and deep learning in manufacturing includes vision and ML use cases that leverage Apple devices as alternative solutions to expensive metrology equipment for image inspection and on-device processing.
Learn more
Predictive Maintenance
In this introduction to IoT and hardware and software components, hands-on activities teach concepts related to rule-based and ML-based condition monitoring.
Learn more
Smart Data
Smart Data Lab focuses on the fundamentals of machine learning (ML) and its application in manufacturing. It also provides SMEs with insight on how they can use ML in their own manufacturing processes.
ML with Vision
This introduction to ML and deep learning in manufacturing includes vision and ML use cases that leverage Apple devices as alternative solutions to expensive metrology equipment for image inspection and on-device processing.
Learn more
Predictive Maintenance
In this introduction to IoT and hardware and software components, hands-on activities teach concepts related to rule-based and ML-based condition monitoring.
Learn more
ML with Vision
Apply


What you’ll learn:
  • An explanation of vision-based algorithms and their practical applications
  • How to use the Automated Optical Inspection (AOI) framework for image inspection
  • How to use vision to detect issues in sample products
  • The scope and power of ML models
  • How to build an ML model with Create ML to identify defects 
in nuts and bolts
  • Part identification using an ML model
Open to SMEs as defined by the Ministry of SMEs.
Predictive Maintenance
Apply


What you’ll learn:
  • An overview of an IoT system and related protocol
  • Demonstrations of bearing condition monitoring system, both rule based and ML derived
  • Student exercises to familiarize dashboard creation
  • An introduction to ML algorithms for drift detection using Python
  • A hands-on activity comparing various methods for condition monitoring
Open to SMEs as defined by the Ministry of SMEs.
Our Location
NINT FAB 2 Building
80, Jigok-ro 127 beon-gil, Nam-gu, Pohang city, Gyeongsangbuk-do, 37672 South Korea
Email
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