Camera Tilt Sensor Image Orientation Correction
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Solution Overview
Problem
Motion cameras often capture images that are tilted due to movement, requiring time-consuming and expensive corrections, as existing mechanical systems for real-time image orientation adjustments are slow and costly.
Innovation Solution
A camera system equipped with a tilt sensor and image adjustment component that measures the camera's dip angle and adjusts captured images in real-time to maintain a desirable orientation, such as vertical to the horizon, using algorithms like Kalman Filtering to calculate the necessary rotation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If mechanical systems (ball head or cradle head) are used to rotate the camera in real-time, then image orientation can be corrected, but the response speed is slow and the cost is high
Solution Approach 1:
The patent replaces mechanical rotation systems with an electronic/image processing approach. Instead of physically rotating the camera using ball heads or cradle heads, the system captures tilted images and then corrects their orientation through image processing algorithms, thereby eliminating the need for complex mechanical systems and achieving both high precision and fast response
Solution Approach 2:
The patent creates a corrected version of the original tilted image by generating a new image with proper orientation. The image adjustment component produces a corrected image that copies the content of the original but with adjusted orientation, avoiding the need for physical camera movement
2Manufacturing precision
If mechanical systems are used to correct tilted images, then orientation can be adjusted, but the system becomes expensive
Solution Approach 1:
The patent substitutes expensive mechanical orientation systems with affordable electronic sensors and software-based image processing. The tilt sensor and image adjustment component are significantly cheaper than ball heads or cradle heads, while achieving comparable or superior orientation accuracy
Solution Approach 2:
The patent uses inexpensive tilt sensors and processes images electronically rather than investing in expensive, complex mechanical systems. The software-based correction approach is cost-effective and can be easily updated or modified without hardware changes
3Productivity
If tilted images are captured without correction, then the camera can move freely, but the images require time-consuming corrections later
Solution Approach 1:
The patent performs preliminary measurement of the camera's tilt angle using a tilt sensor during the image capture process. This preliminary data is then used to pre-calculate the necessary rotation angle, so that when the image is captured, the correction can be applied immediately without requiring time-consuming manual analysis or post-processing adjustments
Solution Approach 2:
The patent implements a feedback loop where the tilt sensor continuously monitors camera orientation, the processor calculates the appropriate correction based on the measured tilt, and the image adjustment component applies the correction. This real-time feedback system ensures that images are automatically corrected as they are captured, eliminating the need for time-consuming post-processing
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 instant generation of ready-to-use images in a predetermined orientation, reducing the need for further editing and saving time and resources.
Implementation Method 1
a tilt sensor configured to measure a current dip angle of the camera system
Data Source
AI summary
Methods and associated systems for generating images with objects of interests positioned at pre-determined locations and in specific orientations (e.g., vertical to the horizon) are disclosed. The method includes generating a preview image by an image component and identifying an object of interest in the preview image. The system then determines a desirable view angle at least based on an orientation of the object of interest. The system generates an original image and a current dip angle based on a measurement performed by a tilt sensor. The system calculates an angle of rotation based on the current dip angle and the desirable view angle. The system then edits or adjusts the original image to form an edited or adjusted image that can be presented to a user.