Rotating Camera Image Acquisition for Wide Field-of-View Detection
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Solution Overview
Problem
Conventional imaging systems for capturing wide area scenes suffer from low spatial resolution and significant image distortion due to complex hardware and software requirements, as well as skewing issues caused by rotating mirror mechanisms.
Innovation Solution
The system employs an image acquisition component with a rotatable mirror or prism to capture high-resolution image data over a wide field-of-view, utilizing dedicated algorithms for change detection and processing to provide visual indications of moving objects, while minimizing distortion by maintaining the orientation of frames relative to the camera lens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of moving object
If a rotating mirror mechanism is used to capture wide area scenes, then the field-of-view is extended, but image distortion and skewing increase
Solution Approach 1:
Instead of rotating the mirror to scan the scene, the patent inverts the approach by using a stationary mirror with a rotating camera or sensor array. This inversion eliminates the distortion caused by mirror rotation while still achieving wide area coverage through the rotational movement of the imaging component.
Solution Approach 2:
The patent replaces the mechanical rotating mirror system with an alternative mechanical configuration where the camera or sensor array rotates instead. This substitution eliminates the optical distortion inherent in rotating mirror systems while maintaining the ability to capture wide area scenes through controlled rotational movement of the imaging component.
2Area of moving object
If complex hardware and software components are employed to acquire and process images, then the field-of-view is extended, but device complexity increases
Solution Approach 1:
The patent divides the imaging system into multiple independent sensor elements or cameras arranged in an array. Each segment captures a portion of the wide area scene, and the individual images are then computationally stitched together. This segmentation approach extends the field-of-view while keeping each individual hardware component relatively simple.
Solution Approach 2:
The patent employs a universal platform that can capture wide area scenes using a standardized sensor array configuration. This multi-functional system can be applied to various surveillance and monitoring applications without requiring complex custom hardware for each specific use case, thereby reducing overall device complexity.
3Area of moving object
If multiple image frames are captured and processed to construct a digital representation, then the field-of-view is extended, but image resolution decreases
Solution Approach 1:
The patent arranges multiple sensors or cameras in a two-dimensional array configuration rather than simply capturing multiple sequential frames. This spatial arrangement in another dimension allows the system to capture a wide area scene with each sensor maintaining its full resolution capability, and the combined array provides both extended field-of-view and high spatial resolution simultaneously.
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
The system achieves high spatial resolution and rapid video data collection without image distortion, effectively detecting moving objects within a wide field-of-view through advanced image processing and acquisition techniques.
Implementation Method 1
The system employs an image acquisition component with a rotatable mirror or prism to capture high-resolution image data over a wide field-of-view
Implementation Method 2
The system employs an image acquisition component with a rotatable mirror or prism to capture high-resolution image data over a wide field-of-view
Data Source
AI summary
Systems and methods for detecting moving objects are provided. Systems illustratively include an image acquisition component, an image processing component, and a display component. Image acquisition components capture image data over a wide spatial area. Image processing components have dedicated algorithms for change detection and receive captured image data from image acquisition components. Image processing components utilize the captured data and the dedicated algorithms to perform image change detection. Display components receive processed image data from image processing components and provide visual indications that items of interest have been detected. Methods illustratively include obtaining first and second images covering a wide field-of-view. The second image is registered to and compared to the first image. Based at least in part on the comparison, a moving object within the wide field-of-view is detected. An indication of the moving object is provided.