Google · Filed Apr 3, 2025 · Published Nov 5, 2026

Google Patents Camera Autofocus That Stops Jumping Between Similar Subjects

Anyone who has watched a phone camera pulse in and out of focus between two similar things knows how annoying it is. Google's filing tries to make the camera pick a target and stay on it until something clearly better shows up.

A camera screen highlights different items on a table to decide which one to keep sharp. Drawing from patent filing US 2026/0350957 A1.
A camera screen highlights different items on a table to decide which one to keep sharp.
See all 11 drawings from this filing ↓
Publication number US 2026/0350957 A1 US20260350957A1
Applicant Google LLC
Filing date Apr 3, 2025
Publication date Nov 5, 2026
Inventors Francisco Javier Molina Vela, Andrew Patrick Reardon, Leung Chun Chan, Ying Chen Lou
US classification 382/103
Examiner OMETZ, RACHEL ANNE (Art Unit 2668)
Status when we published Waiting for an examiner (Jul 30, 2026)
Parent application is a National Stage Entry of PCTUS2023034441 (filed 2023-10-04)
Document 20 claims

What Google's focus-holding camera patent does

You're filming a friend's birthday party and your phone can't make up its mind. The focus slides from the cake to the person blowing out the candles, then back to the cake, and your video pulses in and out of sharpness.

Google's patent application describes a way to calm that down. The camera first works out which parts of the picture are most likely to catch your eye, then picks the best spot and a runner-up. It keeps focusing on its current choice until a new spot is clearly more interesting, not just slightly.

It also checks that a candidate holds up across several frames before committing, so a shiny object in the background doesn't yank the focus away. If the thing you were focused on leaves the frame, the backup spot is already lined up, so the switch is quick.

From the filing · CLAIM 1
… determining a filtered ROI for the image frame, wherein the filtered ROI updates from a previous filtered ROI to the primary ROI based on a saliency difference between the previous filtered ROI and the primary ROI exceeding a first threshold …

Translation: The camera ignores minor distractions until a new subject is clearly more important than the current one.

How Google picks a focus target and sticks to it

The system starts with a saliency heatmap: a grayscale map, made by a pre-trained machine learning model, that scores every pixel for how likely it is to catch a viewer's eye.

It then slides boxes of different sizes and shapes (anchor boxes) across the map and averages the scores inside each. The best box becomes the primary region of interest. The runner-up must sit outside a 'banned zone' around the primary, so the two are truly different spots.

A filtered region carries over from the previous frame and only switches to the new primary when its score beats the old one by more than a threshold. An overlap check can also hold it in place, since jumping between boxes that mostly overlap would change little.

A finite state machine (a simple set of labeled stages) adds a final check. Each region is in one of four states:

  • Committed: usable.
  • Pending: waiting for a stability check.
  • Probation: usable, but watched for failure.
  • Standby: not usable.

Focus is then applied by moving the lens, or by blurring everything outside the region.

From the filing · THE ABSTRACT
… determining a saliency heatmap representing saliency of pixels in the image frame …

Translation: The software creates a map to figure out which parts of the picture matter the most.

What this means for your phone's camera shots

Bad focus is the first thing you notice when it goes wrong. A camera that hops between two subjects makes video look unsteady and can ruin a quick photo. The filing also notes that out-of-focus frames make it harder for other software to recognize what is in a picture, such as when photos are made searchable.

The approach targets the in-between moments: two similar subjects, a subject that walks out of frame, or a shiny object in the background that fools the model. For you, a working version would mean fewer shots where the focus lands on the wrong thing. For Google, it is a software-side improvement to the camera experience on phones, tablets and the other cameras the filing lists.

Google's 1009th filing in our Google coverage since May adds to a run of image-reading ideas, including captioning one photo region and reading a full scene, all of which we've tracked.

Editorial take

Of all the ideas a camera patent can have, this one sits close to a shippable feature. It needs no new lens, sensor or chip. The filing runs on a phone's ordinary camera, processor and a trained model, and it even mentions shrinking the model to save time and battery.

The shortest route to a product is an update to the camera's focus software. What has to exist first is the part the filing leaves out: the actual threshold numbers and how many frames count as 'consistent,' which decide whether focus feels calm or sluggish.

Those settings take real tuning on real footage, and that is where the work lies. The idea is sound and easy to explain. The risk is a camera that holds on a beat too long, so your subject moves and the focus stays behind.

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The drawings

11 drawing sheets from US 2026/0350957 A1 · click any drawing to enlarge

Front, side, and rear views of the camera phone, drawing sheet 1 from US 2026/0350957 A1
Sheet 1 Front, side, and rear views of the camera phone
Hardware components inside the phone that run the camera, drawing sheet 2 from US 2026/0350957 A1
Sheet 2 Hardware components inside the phone that run the camera
How the AI model trains and then predicts focus targets, drawing sheet 3 from US 2026/0350957 A1
Sheet 3 How the AI model trains and then predicts focus targets
Mapping where a viewer looks first in a camera shot, drawing sheet 4 from US 2026/0350957 A1
Sheet 4 Mapping where a viewer looks first in a camera shot
Framing the most eye-catching part of the scene, drawing sheet 5 from US 2026/0350957 A1
Sheet 5 Framing the most eye-catching part of the scene
Grid positions and box shapes tested across each frame, drawing sheet 6 from US 2026/0350957 A1
Sheet 6 Grid positions and box shapes tested across each frame
Blocking off the main subject to find secondary targets, drawing sheet 7 from US 2026/0350957 A1
Sheet 7 Blocking off the main subject to find secondary targets
Keeping focus locked on one object despite nearby distractions, drawing sheet 8 from US 2026/0350957 A1
Sheet 8 Keeping focus locked on one object despite nearby distractions
Show the other 3 sheets
How the camera confirms a subject before locking focus, drawing sheet 9 from US 2026/0350957 A1
Sheet 9 How the camera confirms a subject before locking focus
Managing tracking states across multiple possible focal targets, drawing sheet 10 from US 2026/0350957 A1
Sheet 10 Managing tracking states across multiple possible focal targets
Steps for picking a stable focal target using heatmaps, drawing sheet 11 from US 2026/0350957 A1
Sheet 11 Steps for picking a stable focal target using heatmaps
Browse all the drawings 11 drawing sheets
Patent filing page

Source. Full patent text and figures from the official USPTO publication PDF.
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