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Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better and faster.
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We are a global engineering services provider headquartered in Singapore and driven by 20k+ extraordinary employees based in 18 countries, working out of 84 delivery centers and offices, and making the impossible possible every single day.
Deep Learning for Automatic Defect Detection and Classification
Scope
Detect the defects
Classify the defects
Bin the defects that do not fall into standard bincodes into a new category ‘Other’
Solution
The initial prototype implements a Deep Learning network based on CNN to detect and classify defects present in scanning electron microscope images
Five defect classes were present in the images. A new class ‘other’ was introduced to handle unseen defects.
As the images available were not sufficient for developing the deep neural network, image augmentation techniques like flip, random crop and contrast enhancement was used
Benefits
The accuracy achieved is 79.18% on validation data.
The work is currently ongoing
Features
Automatic defect detection and classification
Identification of multiple types of defects from the image
Deep Learning for Automatic Defect Detection And Classification
