Optical Mouse Noise Detection via Over-Exposure Imaging
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Solution Overview
Problem
Conventional optical mice are affected by noise from damaged or soiled inner components, leading to inaccurate displacement detection and compromised operational accuracy, without cost-effective solutions for noise detection without additional hardware.
Innovation Solution
An image processing method that adjusts lighting to acquire over-exposure images, compares pixel intensity with threshold values, labels noise pixels, and uses simulated values from adjacent pixels to calculate displacement, allowing noise removal and accurate detection without additional hardware components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional optical mouse components are used without additional hardware, then material cost is reduced, but noise detection capability is insufficient leading to inaccurate displacement detection
Solution Approach 1:
The patent changes the exposure parameter of the image capturing unit to create over-exposure images. By adjusting the exposure time or intensity beyond normal operating conditions, the system reveals noise patterns that are not visible in normally exposed images, enabling noise detection using existing hardware without adding new components
Solution Approach 2:
The patent performs preliminary noise detection by capturing over-exposure images before executing the main displacement detection task. This preliminary action identifies and marks noise pixels in advance, allowing the subsequent displacement calculation to exclude these noisy regions and achieve higher accuracy
2Measurement precision
If over-exposure imaging is used to detect noise, then noise detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic over-exposure imaging at specific intervals rather than continuously. The system captures over-exposure images only when needed for noise detection, alternating between normal and over-exposure modes, which reduces overall energy consumption while maintaining effective noise detection capability
Solution Approach 2:
The patent applies excessive exposure only to specific regions or for limited durations necessary to detect noise, rather than continuously over-exposing the entire field of view. This partial application of over-exposure minimizes energy consumption while still achieving sufficient noise detection accuracy
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
This method enhances the accuracy of displacement detection in optical mice by ignoring noise pixels and using adjacent pixel intensity, maintaining operational quality while reducing material costs and avoiding the need for extra hardware, thus improving system convenience and market competitiveness.
Implementation Method 1
light emitted by the optical emitter can reflected from the table surface or the mouse pad to be received by the optical receiver
Data Source
AI summary
An image processing method capable of detecting noise includes adjusting a lighting unit to acquire an over-exposure image, comparing each pixel of the over-exposure image with at least one threshold value, labeling a pixel of the over-exposure image as the noise while bright intensity of the pixel is lower than the threshold value, calculating a simulating value according to bright intensity of pixels around the noise and except the noise, and utilizing the simulating value and bright intensity of other pixels except the noise to execute a displacement detecting calculation.