Zoom Camera Sensor Segmentation for ROI Resolution Control
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Solution Overview
Problem
Existing multi-camera systems in mobile devices struggle to efficiently capture specific field-of-view (FOV) segments with maximum spatial resolution, particularly due to limitations in pixel binning techniques, which reduce spatial resolution and hinder effective zooming capabilities.
Innovation Solution
Implementing a binning sensor in mobile devices that can switch between full and binning resolution modes, allowing selective capture of regions of interest (ROIs) in higher pixel resolution, while maintaining efficient data communication and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If pixel binning technique is used to capture wider FOV segments, then the coverage area is improved, but the spatial resolution deteriorates
Solution Approach 1:
The image sensor is divided into multiple independently controllable segments or regions. Each segment can be selectively activated to capture different FOV segments at full resolution, while other segments remain inactive or operate in binning mode. This segmentation allows the system to capture wider FOV by using multiple segments sequentially or selectively, without sacrificing the spatial resolution of the active segment.
Solution Approach 2:
The patent implements dynamic switching between different sensor segments and resolution modes based on the captured scene and identified regions of interest. The system can dynamically adjust which sensor segment is active, switch between full resolution and binning modes, and adapt the FOV coverage in real-time, thereby optimizing both coverage area and spatial resolution according to specific capture requirements.
2Measurement precision
If full resolution mode is used for all sensor segments, then the spatial resolution is improved, but the data communication load and processing complexity worsen
Solution Approach 1:
Instead of uniformly applying full resolution mode across the entire sensor, the patent applies different resolution modes to different local regions or segments. Regions of interest are captured at full resolution, while less important areas use binning mode or are excluded from capture. This local quality approach maintains high spatial resolution where needed while significantly reducing overall data communication load and processing complexity.
Solution Approach 2:
The system captures only the necessary portions of the scene at full resolution rather than the entire FOV. By identifying regions of interest and capturing only those areas at maximum resolution, the patent achieves sufficient spatial resolution for the important parts of the scene while avoiding the excessive data burden of capturing the entire scene at full resolution.
3Area of stationary object
If multiple cameras are used to capture different FOV segments, then the FOV coverage is improved, but the device complexity and alignment requirements worsen
Solution Approach 1:
The patent makes a single image sensor perform multiple functions that would traditionally require multiple cameras. By dividing the sensor into multiple segments that can be independently controlled and configured, one sensor can capture multiple FOV segments, achieve zoom effects, and provide wide-angle coverage, thereby eliminating the need for multiple separate camera modules and reducing overall device complexity.
Solution Approach 2:
Instead of adding more cameras in the spatial dimension, the patent utilizes the segment dimension of a single sensor. By activating different segments of the same sensor at different times or for different regions of interest, the system achieves multi-FOV coverage without the complexity of multi-camera alignment and synchronization.
Data Source
AI summary
Mobile devices comprising a first camera having a first camera field-of-view (FOV1) and including a first image sensor configured to operate a first segment of the first image sensor in a full resolution-mode for capturing full resolution image data and to operate a second segment of the first image sensor in a binning resolution mode for capturing binning resolution image data and a processor for analyzing image data of the first camera to select a region of interest (ROI) in a scene and for configuring the first image sensor so that the selected ROI is captured in full resolution. In some examples, a mobile device further comprises a second camera having a second FOV (FOV2) and including a second image sensor configured to capture FOV2, wherein the analysis of image data to select a ROI is performed by analysing image data of the second camera.


