Jump to content

Apple Inc. (20240402390). Model-Based Method of Estimating Optical Electro-Chemical Cell State Via Electrical Input

From WikiPatents
Revision as of 15:56, 11 December 2024 by Unknown user (talk) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

Model-Based Method of Estimating Optical Electro-Chemical Cell State Via Electrical Input

Organization Name

Apple Inc.

Inventor(s)

Youngbae Son of San Jose CA (US)

Sean E. Doris of San Francisco CA (US)

Shengchang Cai of Santa Clara CA (US)

Zachary M. Beiley of Oakland CA (US)

Johan L. Piper of Cupertino CA (US)

Model-Based Method of Estimating Optical Electro-Chemical Cell State Via Electrical Input

This abstract first appeared for US patent application 20240402390 titled 'Model-Based Method of Estimating Optical Electro-Chemical Cell State Via Electrical Input



Original Abstract Submitted

an electronic device includes a light-transmissive tint layer implemented on a light-transmissive viewing surface, on which a display panel is used to display augmented reality image content overlaid on background image content. a tint driver is used to apply electrical inputs to the light-transmissive tint layer to change optical properties of the light-transmissive tint layer. the temperature of the light-transmissive tint layer may be inferred from an electrical current applied to the light-transmissive tint layer. dynamic values of the optical properties of the light-transmissive tint layer are predicted based on the electrical inputs and the temperature of the light-transmissive tint layer. the dynamic values of the optical properties are used to generate real-time compensated image data for the augmented reality image content.

(Ad) Transform your business with AI in minutes, not months

Custom AI strategy tailored to your specific industry needs
Step-by-step implementation with measurable ROI
5-minute setup that requires zero technical skills
Get your AI playbook

Trusted by 1,000+ companies worldwide

Cookies help us deliver our services. By using our services, you agree to our use of cookies.