Deep learning s/w library for machine vision
SUALAB specialized in A.I. (Deep learning) image analysis technology, providing a fast, accurate and user-friendly Deep learning machine vision S/W library for manufacturing industry.
Resources
About this series
SuaKIT is a deep learning machine vision inspection software that can be used in various manufacturing fields such as display, solar, PCB, film, and semiconductor.
SuaKIT Training Methods
![]() | ![]() | ![]() | ![]() |
Single Image Analysis | Image comparison | Multi Image Analysis | One Class Learning |
Train and inspect features of each image | Train and inspect defects by focusing on the differences between two images. | Train and inspect defects by analyzing the correlations among various images. | Inspect defects by training only normal images (Without defect images). |
SuaKIT Core Functions
![]() | ![]() | ![]() |
Segmentation | Classification | Detection |
Inspect defect areas by analyzing various defects on the products. | Classify images and categorize them into defect types or OK/NG groups. | Detect each target object in an image by class. |
Model | Description |
---|---|
SuaKIT Developer Version | Create/Test a Deep-learning model & C++/C# based APIs |
SuaKIT Runtime version | Allows deployed PC to run SuaKIT model |