Solutions
Hubble
machine vision
solution
Deep learning-based vision solution maximizing your productivity beyond traditional vision inspection tools and methods
Deep learning-based vision solution maximizing your productivity beyond traditional vision inspection tools and methods







Scope of Hubble
Deep learning-based defect classification model
Classify newly discovered defects with AI models that learn various defect types in real-time

Small scale image extraction
Detect and extract product abnormalities within region of interest for detailed analysis

Enhanced quality control
Improve anomaly detection rate and accuracy with verified continual learning algorithms

Main Technology

Image preprocessing
RTM delivers easy-to-understand data for all users through advanced image processing technology

Model customization
RTM adjusts target regions based on user image requirements to maximize detection accuracy

Data augmentation
RTM technology enables users with limited data to create a quality AI model.

Fault cropping
RTM detects and specifies location of defect for detailed analysis
Main Technology
Image preprocessing
RTM delivers easy-to-understand data for all users through advanced image processing technology

Model customization
RTM adjusts target regions based on user image requirements to maximize detection accuracy

Data augmentation
RTM technology enables users with limited data to create a quality AI model.

Fault cropping
RTM detects and specifies location of defect for detailed analysis

Use Case

LED Display
Classification
Application : LED void, LED AOI

Semiconductor
Classification, Segmentation
Application : Pellicle

Semiconductor Parts
Classification, Segmentation
Application : Heater block
Use Case

LED Display
Classification
Application : LED void, LED AOI

Semiconductor
Classification, Segmentation
Application : Pellicle

Semiconductor Parts
Classification, Segmentation
Application : Heater block