Optical Navigation Sensor Image Correction Method
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Solution Overview
Problem
Existing portable scanners face issues with image distortion and tilt due to user error, and are either cumbersome due to mechanical components or limited in functionality, making them inconvenient to carry and use.
Innovation Solution
An image capturing method that uses first and second optical navigation sensors to calculate displacement data, allowing for image correction without mechanical stabilization, resulting in a lightweight, compact device that enhances user experience and image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If mechanical components (roller structure or automatic document feeding mechanism) are added to stabilize the image capturing device, then image stability is improved, but device weight and volume increase
Solution Approach 1:
The patent replaces mechanical stabilization components (rollers, automatic document feeding mechanisms) with an optical navigation sensor system that uses optical fields to detect and calculate device movement. The sensors capture displacement data and angle deflection data, which are then processed through coordinate transformation algorithms to correct images, eliminating the need for heavy mechanical stabilization structures while maintaining image stability.
2Stability of the object's composition
If mechanical components (roller structure or automatic document feeding mechanism) are added to stabilize the image capturing device, then image stability is improved, but device volume increases
Solution Approach 1:
The patent replaces mechanical stabilization components (rollers, automatic document feeding mechanisms) with an optical navigation sensor system that uses optical fields to detect and calculate device movement. The sensors capture displacement data and angle deflection data, which are then processed through coordinate transformation algorithms to correct images, eliminating the need for bulky mechanical stabilization structures while maintaining image stability.
3Weight of moving object
If optical navigation sensors are used for image correction calculation, then device weight and volume are reduced, but image correction precision may be affected
Solution Approach 1:
The patent divides the image correction process into two independent measurement systems: displacement data captured by the first optical navigation sensor and angle deflection data captured by the second optical navigation sensor. This segmentation allows each sensor to specialize in one type of measurement, improving the precision of individual measurements while keeping the overall device lightweight. The two data sets are then integrated through coordinate transformation to achieve comprehensive image correction.
Solution Approach 2:
The patent introduces a coordinate transformation algorithm as an intermediary that processes the displacement data and angle deflection data from the optical navigation sensors. This intermediary computational layer transforms the raw sensor data into corrected image coordinates, ensuring high precision in the final image correction while allowing the use of lightweight optical sensors instead of heavy mechanical stabilization systems.
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 method produces high-quality, corrected images with reduced device weight and size, enabling free operation and improved user experience while avoiding the need for mechanical components.
Implementation Method 1
obtaining at least a captured image, at least a first displacement data and at least a second displacement data by utilizing a first optical navigation sensor and a second optical navigation sensor
Implementation Method 2
obtaining at least a captured image, at least a first displacement data and at least a second displacement data by utilizing a first optical navigation sensor and a second optical navigation sensor
Data Source
AI summary
An image capturing method includes steps of providing an image capturing device, obtaining a captured image, a first displacement data and a second displacement data, calculating to obtain an angle deflection data according to the first displacement data and the second displacement data, calculating to obtain a central point real coordinate corresponding to a central point of the image capturing device, calculating to obtain an initial point real coordinate corresponding to an initial point of the captured image and a finish point real coordinate corresponding to a finish point of the captured image, and determining a real coordinate system according to the central point real coordinate, the initial point real coordinate and the finish point real coordinate and correspondingly outputting the captured image with the real coordinate system so as to obtain a corrected terminal image. As a result, the terminal image is similar to the original image.