A computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses

The invention is a computer implemented process directed towards a Deep learning neural network architecture to create object detection model using high resolution images. More specifically, the invention is directed towards enhancing the classification accuracy and reliability of edge inspection in...

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Hauptverfasser: WONG, SOON WEI, SRINIVAS, KUNDAPURA PARAMESHWARA
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creator WONG, SOON WEI
SRINIVAS, KUNDAPURA PARAMESHWARA
description The invention is a computer implemented process directed towards a Deep learning neural network architecture to create object detection model using high resolution images. More specifically, the invention is directed towards enhancing the classification accuracy and reliability of edge inspection in contact lenses. The invention is a Computer implemented process to represent a software architecture comprising software components and their inter dependencies that represents the core functional modules of an application. The system and method of the invention captures a high resolution image, transforms the circular edge of the lens to a Horizontal line representing the circular edge, restricting the image size by eliminating the pixel information around the edge, dividing the horizontal edge image into overlapping portions, and stacking the extracted images vertically to form a single high-resolution image that is ideal to be processed and analysed by Convolution Neural networks after augmenting the original i
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
PHYSICS
TESTING
title A computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses
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