Electronic Device Scene Mode Determination via Geo-Location and Object Type
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional electronic devices struggle to capture ideal images of user-selected scenes due to limitations in auto-scene detection modes, which fail to accurately reproduce the scene's characteristics, necessitating enhanced capabilities for professional photography experiences.
Innovation Solution
A system and method that determines a scene mode based on the geo-location and object type within the electronic device, allowing for user-defined photography settings to be applied, with metadata tagging and server-based updates for creating new scene modes based on user preferences and captured images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If in-built auto-scene detection mode is used, then the electronic device can automatically capture images, but the captured scene is not an exact or ideal reproduction of the picturesque scene
Solution Approach 1:
The system captures a first image, analyzes it to determine object types and geo-location, then uses this feedback to automatically select appropriate scene modes and photography settings for capturing optimal images, creating a closed-loop control system that improves scene reproduction accuracy
Solution Approach 2:
The system performs preliminary analysis of the first image to determine object types and geo-location before capturing the actual scene images, allowing the electronic device to pre-configure the optimal scene mode and photography settings based on the analyzed data
2Manufacturing precision
If professional photography capabilities are added, then image capture quality improves, but device complexity increases
Solution Approach 1:
The system introduces an intermediary processing layer that analyzes the first image to determine object types and geo-location, then uses this intermediate information to automatically select scene modes and settings, bridging the gap between simple auto-mode and professional photography without requiring complex manual controls
Solution Approach 2:
The photography process is segmented into distinct stages: capturing a first image for analysis, determining object types and geo-location, selecting scene modes, and capturing final images. This segmentation allows complex professional photography capabilities to be delivered through a simplified user workflow
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Various aspects of a system and method to control capture of images are disclosed herein. In accordance with an embodiment, the method includes capture of a first image of a user-selected scene by an electronic device. The user-selected scene comprises one or more objects. A scene mode from a pre-stored set of scene modes is determined by the electronic device to capture a plurality of images of the user-selected scene. The determination of the scene mode is based on an object type of the one or more objects and a geo-location of the electronic device. The scene mode is determined when the first image is captured or when image data corresponding to the user-selected scene is received.