Camera Image Orientation Using Face Zone Detection

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Solution Overview

Problem

Portable information handling systems often incorrectly orient captured images due to the rotation of the housing, leading to confusion and the need for manual user configuration in desktop systems, as they lack automatic image orientation correction.

Innovation Solution

An information handling system automatically corrects image orientation by analyzing detected faces in the visual image using T, Y, or V zone analysis to determine an upright orientation and adjust the camera image accordingly, aligning it with the face orientation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If automatic image orientation correction is implemented, then image orientation accuracy is improved, but device complexity increases

Engineering Contradiction:

Improveimage orientation accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system automatically detects face orientation and self-corrects image orientation without user intervention. The camera device performs self-service by analyzing facial features (T-zone, Y-zone, V-zone) to determine correct orientation and automatically rotating the image, eliminating the need for manual user configuration while maintaining simplicity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical orientation adjustment with automated image processing. Instead of requiring users to physically rotate devices or manually configure orientation settings, the system uses computer vision algorithms to detect face orientation and automatically rotates the captured image, substituting mechanical/user operations with digital processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If face detection and analysis is performed, then image orientation accuracy is improved, but processing time increases

Engineering Contradiction:

Improveorientation detection accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs partial face analysis by focusing only on key facial zones (T-zone, Y-zone, V-zone) rather than analyzing the entire face or image. This selective approach to face detection provides sufficient orientation information while minimizing processing time and computational resources.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system performs preliminary face detection and orientation analysis immediately upon capturing an image, before the user needs to view or process the image further. By performing this analysis in advance and automatically applying the correct orientation, the system eliminates delays that would otherwise occur when users need to manually adjust orientation settings.

Inventive Principle:

Principle #10Preliminary action

3Ease of operation

If automatic orientation correction is implemented, then ease of operation is improved, but resource consumption increases

Engineering Contradiction:

Improveuser configuration requirementVSAvoidprocessing resource consumption

Core Design Contradiction:

Ease of operationVSUse of energy by moving object

Solution Approach 1:

The camera device performs self-service by automatically detecting face orientation and correcting image orientation without user intervention. This eliminates the need for users to manually configure orientation settings, significantly improving ease of operation while the processing is optimized to consume minimal resources.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses partial face analysis focusing only on key zones (T-zone, Y-zone, V-zone) rather than comprehensive image processing. This selective approach provides sufficient orientation information while minimizing computational resource consumption, achieving a balance between ease of operation and resource efficiency.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12526379B2Automatic image orientation via zone detection

Publication Date: 2026.01.13 DELL PROD LP

AI summary

An information handling system peripheral camera analyzes captured visual images to detect a face and analyzes the face to determine an upright orientation. Based upon the face upright orientation, the camera defines a visual image orientation to communicate the visual image from the peripheral camera to an information handling system so that the face is communicated in an upright orientation for use in a video conference, such as with an indication of a landscape or portrait image orientation. In one embodiment, an information handling system can perform the face upright orientation analysis and command a camera orientation to the camera so that visual images of the camera are communicated in alignment with the face upright orientation.