Intelligent actuated nose bridge

Patent metadata

Field	Value
Publication number	US-2025271686-A1
Application number	US-202519206836-A
Country	US
Kind code	A1
Filing date	May 13, 2025
Priority date	Apr 11, 2022
Publication date	Aug 28, 2025
Grant date	—

Abstract

Systems and method describe an actuator control system for controlling an intelligent actuated nose bridge on a pair of wearable glasses. The actuator control system receives a set of measurement data corresponding to a length of the nose bridge, generates a predicted set of measurement data for the length of the nose bridge, transmits the predicted set of measurement data to pneumatic actuators coupled to the nose bridge, captures a first set of images of the nose bridge, generates an augmented set of measurement data for the nose bridge, generates an adjusted set of measurement data based on the predicted set of measurement data and the augmented set of measurement data, and transmits the adjusted set of measurement data to the pneumatic actuators coupled to the nose bridge.

First claim

What is claimed is:

1 . A method comprising:
receiving a set of measurement data corresponding to a length of an eyeglass nose bridge on a pair of eyeglasses; based on the set of measurement data, generating a predicted set of measurement data for the length of the eyeglass nose bridge; receiving, via a display on the pair of eyeglasses, feedback data associated with the predicted set of measurement data; generating modified measurement data based on the feedback data; transmitting the modified measurement data to pneumatic actuators coupled to the eyeglass nose bridge; capturing a first set of images by one or more image sensors coupled to the pair of eyeglasses, the first set of images comprising a plurality of views of the eyeglass nose bridge; analyzing the first set of images, the analysis comprising generating an augmented set of measurement data of the eyeglass nose bridge based on the first set of images; based on the modified measurement data and the augmented set of measurement data, generating an adjusted set of measurement data, the adjusted set of measurements comprising an adjustment to the modified measurement data; and transmitting the adjusted set of measurement data to the pneumatic actuators coupled to the eyeglass nose bridge.

2 . The method of claim 1 , wherein transmitting the modified measurement data further comprises:
generating a notification comprising instructions to modify a position status of the pair of eyeglasses; causing display of the notification on a display device coupled to the pair of eyeglasses; receiving an indication from one or more position sensors of the pair of eyeglasses, the indication comprising updated position status data of the pair of eyeglasses; and causing the pneumatic actuators to modify the length of the eyeglass nose bridge based on the modified measurement data.

3 . The method of claim 1 , further comprising:
causing display of a set of prescription image data on a display device coupled to the pair of eyeglasses; receiving second user feedback based on the displayed set of prescription image data; and in response to the second user feedback, generating an updated set of measurements for the length of the eyeglass nose bridge.

4 . The method of claim 3 , wherein the second user feedback is received as audio feedback from a microphone coupled to the pair of eyeglasses.

5 . The method of claim 1 , wherein the predicted set of measurement data is generated using a first machine learning model trained on historical user data, the historical user data comprising at least one of: eyeglass nose bridge lengths, user face measurements, and eyeglass lenses sizes.

6 . The method of claim 1 , wherein the augmented set of measurement data is generated using a second machine learning model trained to analyze the first set of images.

7 . The method of claim 6 , further comprising:
capturing a second set of images by the one or more image sensors coupled to the pair of eyeglasses, the second set of images comprising a plurality of views of the eyeglass nose bridge relative to a user's face.

8 . The method of claim 7 , further comprising:
analyzing the first set of images and the second set of images using the second machine learning model; and generating the augmented set of measurement data of the eyeglass nose bridge based on the analysis of the first set of images and the second set of images.

9 . The method of claim 1 , wherein the eyeglass nose bridge comprises an actuator system, the actuator system comprising a set of pneumatic actuators.

10 . The method of claim 9 , wherein the actuator system is physically coupled to an air tank via an air line.

11 . An apparatus comprising:
a pair of eyeglasses, the pair of eyeglasses comprising a frame, the frame comprising a pair of lenses, wherein the pair of lenses comprises a first lens and a second lens; an actuated nose bridge affixed between the first lens and the second lens; an actuator system coupled to the nose bridge, the actuator system modifying a length of the actuated nose bridge based on an adjusted set of measurement data, the adjusted set of measurement data based on a set of measurement data corresponding to the length of the actuated nose bridge and an augmented set of measurement data based on an analysis of a set of images comprising a plurality of views of the actuated nose bridge; and a camera system coupled to the frame of the pair of eyeglasses, the camera system comprising a front facing camera and a rear-facing camera.

12 . The apparatus of claim 11 , wherein the actuator system comprises a set of pneumatic actuators.

13 . A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to perform operations comprising:
receiving a set of measurement data corresponding to a length of an eyeglass nose bridge on a pair of eyeglasses; based on the set of measurement data, generating a predicted set of measurement data for the length of the eyeglass nose bridge; receiving, via a display on the pair of eyeglasses, feedback data associated with the predicted set of measurement data; generating modified measurement data based on the feedback data; transmitting the modified measurement data to pneumatic actuators coupled to the eyeglass nose bridge; capturing a first set of images by one or more image sensors coupled to the pair of eyeglasses, the first set of images comprising a plurality of views of the eyeglass nose bridge; analyzing the first set of images, the analysis comprising generating an augmented set of measurement data of the eyeglass nose bridge based on the first set of images; based on the modified measurement data and the augmented set of measurement data, generating an adjusted set of measurement data, the adjusted set of measurements comprising an adjustment to the modified measurement data; and transmitting the adjusted set of measurement data to the pneumatic actuators coupled to the eyeglass nose bridge.

14 . The computer-readable storage medium of claim 13 , wherein transmitting the predicted set of measurement data further comprises:
generating a notification comprising instructions to modify a position status of the pair of eyeglasses; causing display of the notification on a display device coupled to the pair of eyeglasses; receiving an indication from one or more position sensors of the pair of eyeglasses, the indication comprising updated position status data of the pair of eyeglasses; and causing the pneumatic actuators to modify the length of the eyeglass nose bridge based on the modified measurement data.

15 . The computer-readable storage medium of claim 13 , further comprising:
causing display of a set of prescription image data on a display device coupled to the pair of eyeglasses; receiving second user feedback based on the displayed set of prescription image data; and in response to the second user feedback, generating an updated set of measurements for the length of the eyeglass nose bridge.

16 . The computer-readable storage medium of claim 15 , wherein the user feedback is received as audio feedback from a microphone coupled to the pair of eyeglasses.

17 . The computer-readable storage medium of claim 13 , wherein the predicted set of measurement data is generated use a first machine learning model trained on historical user data, the historical user data comprising at least one of: eyeglass nose bridge lengths, user face measurements, and eyegl

Assignees

• Snap Inc

Inventors

• Zare Seisan Farid

Classifications

• G02B2027/0178

  Eyeglass type (eyeglass details G02C) · CPC title

• G02B2027/0138

  comprising image capture systems, e.g. camera · CPC title

• G02B27/0176

  characterised by mechanical features · CPC title

• G02C5/122 Primary

  with adjustable means · CPC title

• G02C13/003

  Measuring during assembly or fitting of spectacles · CPC title