Movable Platform Imaging System for High-Resolution Tracking
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Solution Overview
Problem
Current imaging systems in surveillance applications lack the capability to obtain high-resolution images of tracked objects, as they are limited by conventional sensors and imaging technologies.
Innovation Solution
An imaging system with a movable platform and image detecting elements that can generate both global and local images at varying resolutions, allowing for the identification of objects of interest and acquisition of high-resolution image data by rotating or translating the platform to focus on specific areas of the field of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sensors and imaging systems are used, then the system structure is simple and cost-effective, but the image resolution is insufficient for tracking objects of interest
Solution Approach 1:
The patent divides the imaging system into multiple functional modules: a wide-angle imaging module for global surveillance, a zoom imaging module for high-resolution detailed imaging, and a movable platform for positioning. This segmentation allows each module to specialize in specific functions, achieving high resolution without requiring a completely complex system redesign.
Solution Approach 2:
The patent introduces spatial dimensionality by mounting image detecting elements on a movable platform that can rotate and translate within the image plane. This adds a dimensional aspect to the imaging system, allowing the detector to physically reposition itself to capture high-resolution images of specific regions without requiring multiple fixed high-resolution cameras throughout the entire field of view.
2Measurement precision
If a single high-resolution sensor is used to cover the entire field of view, then image resolution is improved, but the device size and cost increase significantly
Solution Approach 1:
The patent employs a movable platform that can dynamically reposition the image detecting elements within the image plane. This dynamic capability allows a smaller sensor to effectively cover a larger area by moving to different positions, thereby achieving high-resolution imaging of specific regions without requiring a large static sensor array.
Solution Approach 2:
The system applies different imaging qualities to different regions of the field of view. The wide-angle module provides lower-resolution global coverage, while the zoom module with movable platform provides high-resolution local imaging. This local quality approach allows high resolution where needed without the expense of high resolution everywhere.
3Adaptability or versatility
If multiple cameras are used to achieve both wide-angle and narrow-angle images, then field of view coverage is improved, but the device complexity and number of components increase
Solution Approach 1:
The movable platform serves multiple functions: it positions the zoom camera for high-resolution imaging, it can be rotated to different angles, and it integrates with both the wide-angle and zoom imaging modules. This multi-functionality reduces the need for separate dedicated systems for each imaging function, thereby reducing overall device complexity.
Solution Approach 2:
The patent merges the wide-angle imaging module and the zoom imaging module into a single integrated system with a shared movable platform. This combining of functions into one unified system reduces the number of separate components and simplifies the overall device architecture while maintaining the capability to capture both wide-angle and narrow-angle images.
4Measurement precision
If the platform continuously moves to capture all areas at high resolution, then image resolution is improved, but the acquisition time increases
Solution Approach 1:
The system performs preliminary action by using the wide-angle imaging module to first capture a global view and identify regions of interest. Based on this preliminary information, the movable platform then selectively positions the zoom module only at locations where high-resolution imaging is needed, rather than scanning the entire field of view. This preliminary identification step significantly reduces the time required for high-resolution image acquisition.
Solution Approach 2:
The system applies partial action by focusing high-resolution imaging only on specific portions of the field of view that contain objects of interest, rather than attempting to capture high-resolution images of the entire field. This selective approach maintains high resolution where needed while minimizing the total time required for image acquisition.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the simultaneous and rapid generation of high-resolution images of different portions of the field of view, effectively overcoming the resolution limitations of conventional systems and enabling accurate tracking of moving objects.
Implementation Method 1
an optical system for collecting light from a field of view and directing it to an image plane
Implementation Method 2
one or more image detecting elements disposed on a movable platform disposed in the image plane. The one or more image detecting elements can detect at least a portion of the collected light to generate image data
Data Source
AI summary
In one aspect, the present invention provides an imaging system, which includes an optical system for collecting light from a field of view and directing it to an image plane. One or more image detecting elements are disposed on a movable platform coupled to the image plane. The image detecting elements detect the collected light and generate image data corresponding to the field of view. A processor in communication with the image detecting elements receives the image data. The processor is configured to effect movement of the platform to move the one or more image detecting elements within the image plane to gather the image data.