Optical Mouse Displacement Detection Using Fixed Pattern Injection
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Solution Overview
Problem
Conventional optical mice face challenges in accurately detecting displacement on surfaces with low characteristic variation, leading to cursor jiggling issues when at rest or lifted, due to insufficient image quality.
Innovation Solution
A displacement detection method that adds a fixed pattern to image frames with low characteristic indices, increasing their quality and allowing for more accurate displacement calculation, thereby enhancing surface tolerance and reducing jiggle phenomena.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the threshold value for characteristic index is increased, then cursor jiggle is reduced, but the working surface limitation is increased
Solution Approach 1:
The patent applies preliminary action by pre-processing image frames before displacement calculation. Specifically, it enhances image frames with low characteristic indices through techniques such as adding fixed patterns or applying filtering operations before the correlation calculation. This preliminary enhancement ensures that even surfaces with low natural characteristic variation produce sufficient image quality for accurate displacement detection, thereby expanding working surface tolerance while maintaining cursor stability.
2Adaptability or versatility
If the threshold value for characteristic index is decreased, then working surface tolerance is increased, but cursor jiggle becomes more apparent
Solution Approach 1:
The patent implements feedback by continuously monitoring the characteristic index of acquired image frames and dynamically adjusting processing strategies. When the characteristic index falls below the threshold, the system automatically applies enhancement techniques such as adding fixed patterns or applying filtering operations. This feedback mechanism ensures that image quality is maintained at sufficient levels for accurate displacement calculation, thereby reducing cursor jiggle while allowing operation on diverse working surfaces.
3Adaptability or versatility
If image characteristic variation is low, then working surface diversity is increased, but displacement detection accuracy deteriorates
Solution Approach 1:
The patent applies parameter changes by modifying image frame parameters when the natural characteristic variation is insufficient. Specifically, it adjusts the image data through operations such as adding fixed patterns with specific gray level values or applying filtering operations that enhance contrast and edge detection. These parameter modifications transform low-quality images into high-quality images with sufficient characteristic variation, enabling accurate displacement detection on diverse surfaces while maintaining measurement precision.
Data Source
AI summary
A displacement detection method includes the steps of: acquiring an image frame; calculating a characteristic index of the image frame; maintaining the image frame when the characteristic index is larger than a threshold value; and adding a fixed pattern to the image frame when the characteristic index is smaller than the threshold value. The present invention further provides a displacement detection device.