Synthetic Training Data in AI-Driven Quality Inspection: The Significance of Camera, Lighting, and Noise Parameters.
Dominik SchramlGunther NotniPublished in: Sensors (2024)
Keyphrases
- training data
- noisy data
- artificial intelligence
- input data
- real time
- high quality
- calibration method
- response function
- rotation and translation
- data sets
- expert systems
- real scenes
- quality control
- decision trees
- learned from training data
- field of view
- camera orientation
- machine learning
- maximum likelihood
- vision system
- viewpoint
- missing data
- computer vision
- optical axis
- measurement error
- training set
- poor quality
- imaging devices
- image sequences
- hand held
- learning algorithm
- imaging process
- supervised learning
- camera parameters
- surveillance system
- signal to noise ratio
- camera calibration
- camera motion