Optical Navigation Sensor Mode Switching for Glass Surfaces
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Solution Overview
Problem
Conventional optical navigation systems fail to accurately track movements on clean glass surfaces due to the lack of sufficient visual surface variations, which limits their operational effectiveness.
Innovation Solution
An optical navigation system that operates in different modes based on the surface type, using all or fewer photosensitive elements of an image sensor array to capture image data, with the second mode employing less than M×N sampled signals when on a glass-like surface to increase frame rate and tracking speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all M×N photosensitive elements are used to capture image data, then measurement precision is improved, but productivity deteriorates due to lower frame rate on glass surfaces
Solution Approach 1:
The system dynamically adjusts the image capturing mode based on the detected surface type. When a glass-like surface is detected, the system switches to the second operational mode that uses fewer photosensitive elements, prioritizing frame rate. When non-glass surfaces are detected, the system uses all photosensitive elements for maximum measurement precision. This dynamic adaptation resolves the contradiction by allowing the system to optimize for the appropriate parameter based on operating conditions.
Solution Approach 2:
The system changes the operational parameter (number of addressed photosensitive elements) based on the surface type. In the first operational mode, all M×N photosensitive elements are addressed to capture full image data for high precision tracking on non-glass surfaces. In the second operational mode, fewer than M×N photosensitive elements are addressed to increase frame rate on glass surfaces. This parameter change allows the system to resolve the trade-off between precision and productivity.
2Device complexity
If conventional optical navigation is used on glass surfaces, then device complexity is maintained, but reliability deteriorates due to insufficient visual surface variations
Solution Approach 1:
The system implements dynamic mode switching based on surface type detection. When a glass-like surface is detected (characterized by insufficient visual surface variations), the system automatically switches to the second operational mode that uses fewer photosensitive elements, which increases frame rate and improves tracking reliability on these challenging surfaces. This dynamic response maintains reliability without requiring complex hardware modifications.
Solution Approach 2:
The system changes the operational parameters (number of addressed photosensitive elements and frame rate) based on the detected surface properties. On glass-like surfaces where conventional navigation fails due to lack of visual variations, the system adjusts parameters to prioritize frame rate over maximum resolution, thereby maintaining tracking reliability. This parameter adaptation allows the system to maintain reliability across different surface types without increasing device complexity.
3Productivity
If fewer photosensitive elements are used to increase frame rate, then productivity is improved, but measurement precision deteriorates on non-glass surfaces
Solution Approach 1:
The system dynamically selects the appropriate operational mode based on real-time surface type detection. When non-glass surfaces are detected (which provide sufficient visual surface variations), the system uses the first operational mode that addresses all M×N photosensitive elements, ensuring maximum measurement precision. When glass-like surfaces are detected, the system switches to the second mode that uses fewer elements for higher frame rate. This dynamic selection ensures that productivity gains are achieved only when appropriate, without sacrificing measurement precision on suitable surfaces.
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 accurate tracking on various surfaces, including glass, by adjusting the image capturing mode to optimize frame rate and speed without compromising performance on glass surfaces.
Implementation Method 1
an image sensor to successively capture optical features of the illuminated navigation surface as frames of image data
Implementation Method 2
An optical navigation system uses a light source, such as a light-emitting diode or a laser diode, to illuminate a navigation surface and an image sensor to successively capture optical features
Data Source
AI summary
A system and method for performing optical navigation addresses M×N photosensitive elements of an image sensor array to capture first frames of image data of a navigation surface when set to a first operational mode such that each of the first frames of image data includes M×N sampled signals, and addresses at most the M×N photosensitive elements of the image sensor array to capture second frames of image data of the navigation surface when set to a second operational mode such that each of said second frames of image data includes less than M×N sampled signals.


