DZUKI Deep Learning Defect Detection Software

DZUKI Deep Learning Defect Detection Software Defect detection involves drawing a bounding box around each defect of interest in the image and assigning them a class label. Our Deep Learning defect detection software was developed to make it easy to set up for deployment in a step by step approach. It’s menu driven and runs on Windows 10 OS. For defect detection the steps involve capturing or importing image samples, labelling the defects of interest on the sample images, training the samples, evaluating and selecting the models for real time deployment. The models generated can be imported into the defect detection module in our AI Deep Learning cameras. Application is when the user needs to identify various defects for analysis in improving processes.