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. With SuaKIT’s deep learning algorithms, the limitations of traditional machine vision inspection methods can be overcome.
SuaKIT Core Functions
Segmentation- Inspect defect areas by analyzing various defects on the products.
Classification- Classify images and categorize them into defect types or OK/NG groups.
Detection - Detect each target object in an image by class.
SuaKIT Training Methods
Single Image Analysis- Train and inspect features of each image
Image Comparison- Train and inspect defects by focusing on the differences between two images
Multi Image Analysis- Train and inspect defects by analyzing the correlations among various imagesOne Class Learning- Inspect defects by training only normal images (Without defect images)