Artificial intelligence-based strabismus screening method, server and system

Abstract

The embodiment of the present invention discloses an artificial intelligence-based strabismus screening method, server and system, which are used to obtain relevant eye position pictures through a mobile terminal and send them to the server, and analyze the acquired eye position pictures through the server, thereby realizing The screening of strabismus solves the technical problems of high cost and inconvenience in the existing method of screening strabismus through the screening device, the current status of prevention and treatment in grassroots areas is close to blank, and the technical problems of strabismus inspection, diagnosis and treatment are not timely.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to view more

AI Technical Summary

Benefits of technology

This patented technology allows users with eyesight issues to be identified by analyzing their images from different devices like smartphones or tablets that they have connected over networks such as social media platforms (SpyG). It also includes methods for creating models of how people look at things better than others during testing sessions. These screens help identify any potential problem areas related to stray gaze while reducing costs associated therewith. Additionally, it provides training and learning capabilities to improve accuracy when mapping real world situations onto computerized virtual environments. Overall, this innovation helps make upstops in detecting staggered vision without requiring expensive equipment.

Problems solved by technology

This patented technology describes how artificial intelligence works by controlling certain parts or processes within our brain' s body like movements. These actions cause changes made inside their own cells called neurons, resulting in abnormalities such as dyslexia. Different techniques have been developed over recent years to detect these disorders accurately without going back home from school. However, there has yet room for improvement due to limitations associated with existing screens used during testing procedures.

Images