OCULAR CONDITION DETECTION SYSTEM DETECTING OCULAR CONDITION UTILIZING DEEP LAYER LEARNING MODEL, AND METHOD FOR OPERATING THE OCULAR CONDITION DETECTION SYSTEM

摘要

To provide an ocular condition detection system for detecting an ocular condition by utilizing a deep layer learning model.SOLUTION: An ocular condition detection system includes an image processor, and a deep layer learning processor. After receiving an image to be detected, the image processor identifies an ocular region from the image to be detected, in accordance with a plurality of facial feature points, and then, executes image positioning with respect to the ocular region, in order to create a normalized eye-ball image to be detected. The deep layer learning processor extracts a plurality of eye-ball features from the normalized eye-ball image to be detected, in accordance with a deep layer learning model, and outputs an ocular condition in the ocular region, in accordance with the plurality of eye-ball features and a plurality of training samples in the deep layer learning model.SELECTED DRAWING: Figure 4