Eyedaptic, Inc.

Brian Kim

Jay E Cormier

David Watola

Adaptive Control Systems and methods are provided for an electronic visual aid, which may be wearable, hand held or fixed mount, including autonomous hands free control integrated with artificial intelligence tunable to user preferences and environmental conditions.

Enhanced autonomous hands-free control in electronic visual aids

Adaptive control systems using augmented and virtual reality systems chimerically integrated with Artificial Intelligence and the like Homunculi fix vision issues with data based and user tuned solutions in real time.

Adaptive system for autonomous machine learning and control in wearable augmented reality and virtual reality visual aids

Adaptive Control Driven System/ACDS, supports visual enhancement, mitigation of challenges and with basic image modification algorithms and any known hardware from contact lenses to IOLs to AR hardware glasses, and enables users to enhance vision with user interface based on a series of adjustments that are applied to move, modify, or reshape image sets and components with full advantage of the remaining useful retinal area, thus addressing aspects of visual challenges heretofore inaccessible by devices which learn needed adjustments.

Systems for augmented reality visual aids and tools

Interactive systems using adaptive control software and hardware from known and later developed eyepieces to later developed head-wear to lenses, including implantable, temporarily insertable and contact and related film based types of lenses including thin film transparent elements for housing cameras lenses and projector and functional equivalent processing tools. Simple controls, real-time updates and instant feedback allow implicit optimization of a universal model while managing complexity.

Artificial intelligence enhanced system for adaptive control driven AR/VR visual aids

A visual aid provides utility to its users by performing geometric transformations of raw images from a digital camera into processed images for electronic display, via three nested levels of 'implementation' namely, the nature of the mapping that will be applied, i.e. specifying a specific mapping or parameterized family of mappings; the algorithm set used to effect the select mapping, independent of the processor upon which it executes; and the method for realizing this algorithm on that processor. Likewise offered for consideration are software feature sets tied to user interface which enable dynamic tuning of the subject visual context and environments for low vision users, inter alia.

Demonstration devices and methods for enhancement for low vision users and systems improvements

A visual aid provides utility to its users by performing geometric transformations of raw images from a digital camera into processed images for electronic display, via three nested levels of 'implementation' namely, the nature of the mapping that will be applied, i.e. specifying a specific mapping or parameterized family of mappings; the algorithm set used to effect the select mapping, independent of the processor upon which it executes; and the method for realizing this algorithm on that processor. Likewise offered for consideration are software feature sets tied to user interface which enable dynamic tuning of the subject visual context and environments for low vision users, Inter Alia.

Adaptive Control Driven System/ACDS, supports visual enhancement, mitigation of challenges and with basic image modification algorithms and any known hardware from contact lenses to IOLs to AR hardware glasses, & enables users to enhance vision with user interface based on a series of adjustments that are applied to move, modify, or reshape image sets and components with full advantage of the remaining useful retinal area, thus addressing aspects of visual challenges heretofore inaccessible by devices which learn needed adjustments.

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San Clemente, CA, United States of America

Brian Kim