Intelligent ROI Assignment Across Multiple Image Sensors
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Solution Overview
Problem
Current electronic devices with multiple cameras lack an intuitive mechanism for capturing a region of interest (ROI) and applying effects to specific portions of a scene, limiting user capabilities in multi-tasking and multimedia content capture.
Innovation Solution
An electronic device method that detects ROIs in a preview frame, assigns them to appropriate image sensors based on characteristics, applies effects, and captures media content from multiple sensors simultaneously, allowing for enhanced user experience with multi-tasking and diverse file formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple cameras are included to provide various functionalities, then the device capability is improved, but the ease of operation deteriorates due to lack of intuitive mechanism for multi-tasking
Solution Approach 1:
The system performs automatic scene analysis and intelligent object detection to self-determine which camera to activate and what effects to apply, eliminating the need for manual user configuration and making multi-tasking intuitive and automatic
2Adaptability or versatility
If multiple image sensors are used to provide different photographic effects, then the adaptability is improved, but the device complexity increases due to hardcoded configurations
Solution Approach 1:
The system dynamically selects and configures image sensors and effects based on real-time scene analysis and object detection, replacing static hardcoded configurations with adaptive dynamic allocation that simplifies the overall system architecture
3Manufacturing precision
If the user manually selects cameras based on functionality, then the manufacturing precision is maintained, but the productivity deteriorates due to multiple manual captures required
Solution Approach 1:
The system performs preliminary scene analysis and object detection before capture, pre-determining the optimal camera configuration and effects to be applied, enabling single-shot multi-tasking that captures multiple images with different effects simultaneously without compromising quality
4Device complexity
If there is no intelligent detection mechanism, then the device complexity is reduced, but the measurement precision deteriorates in scene and object analysis
Solution Approach 1:
The system replaces manual mechanical selection with automated intelligent detection using AI-based scene analysis and object recognition algorithms, achieving high measurement precision in identifying objects and determining optimal capture parameters without increasing physical system complexity
Data Source
AI summary
A method for capturing a region of interest (ROI) by an electronic device is provided. The method includes detecting a plurality of ROIs in a preview frame, captured in a field of view of a plurality of image sensors of the electronic device. Further, the method includes assigning at least one first ROI from the plurality of ROIs to the at least one first image sensor from the plurality of image sensors and at least one second ROI from the plurality of ROIs to at least one second image sensor from the plurality of image sensors. Further, the method includes capturing at least one first media content of the at least one first ROI using the at least one first image sensor and at least one second media content of the at least one second ROI using the at least one second image sensor. Further, the method includes storing the at least one first media content and the at least one second media content in the electronic device.