Displacement Detection Device with Dynamic Block Size Adjustment
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Solution Overview
Problem
Conventional optical mice using fixed-sized comparison blocks struggle to accurately calculate displacement on various surfaces, particularly on glass surfaces, due to their inability to adapt to different work surfaces and image qualities.
Innovation Solution
A displacement detection device that adjusts the block size of comparison blocks based on exposure parameters and image quality, using a light source, image sensor, and control and processing unit to determine the optimal block size for accurate displacement calculation, allowing operation on both smooth and rough surfaces while reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed-size comparison block is used for displacement calculation, then the device structure is simple, but the adaptability to different work surfaces is poor
Solution Approach 1:
The patent implements dynamic adjustment of the comparison block size based on image quality assessment. The control unit evaluates image quality metrics and automatically selects appropriate block sizes from multiple predefined options, enabling the system to adapt to different work surfaces (glass, rough surfaces, etc.) without requiring complex hardware modifications. This dynamic parameter adjustment resolves the contradiction by making the software algorithm flexible rather than changing the physical device structure.
Solution Approach 2:
The patent changes the parameter of comparison block size based on image quality conditions. When image quality is poor (e.g., on glass surfaces), larger block sizes are used to capture sufficient feature information. When image quality is good (e.g., on rough surfaces), smaller block sizes are used for more precise displacement calculation. This parameter adaptation allows the same device to handle various work surfaces effectively.
2Adaptability or versatility
If a larger block size is used for comparison, then the adaptability to smooth surfaces is improved, but the power consumption increases
Solution Approach 1:
The system dynamically selects block size based on real-time image quality assessment rather than using a fixed large block size. On smooth surfaces where poor image quality is detected, larger blocks are temporarily used. On rough surfaces where good image quality is detected, smaller blocks are used to reduce processing load and power consumption. This dynamic adaptation resolves the contradiction between adaptability and power consumption.
Solution Approach 2:
The patent adjusts the comparison block size parameter according to image quality conditions. By using smaller block sizes when conditions permit (good image quality on rough surfaces), the processing complexity and power consumption are reduced. Larger block sizes are only employed when necessary (poor image quality on smooth surfaces), minimizing energy usage while maintaining adaptability.
3Use of energy by moving object
If a smaller block size is used for comparison, then the power consumption is reduced, but the measurement precision deteriorates
Solution Approach 1:
The patent intelligently adjusts the comparison block size parameter based on image quality assessment. When image quality is poor (smooth surfaces), larger blocks are used to maintain measurement precision despite increased power consumption. When image quality is good (rough surfaces), smaller blocks are used to reduce power consumption while sufficient precision is maintained. This conditional parameter adjustment resolves the contradiction between power consumption and measurement precision.
4Reliability
If a fixed exposure parameter is used for image capture, then the device operation is simple, but the image quality varies on different surfaces
Solution Approach 1:
The patent implements dynamic adjustment of exposure parameters based on work surface characteristics. The control unit monitors image quality metrics and automatically modifies exposure settings to maintain consistent image quality across different surfaces (glass, rough surfaces, etc.). This dynamic parameter adjustment ensures reliable displacement calculation without requiring complex hardware modifications.
Solution Approach 2:
The system uses feedback from image quality assessment to adjust exposure parameters. By continuously evaluating the quality of captured images and adapting exposure settings accordingly, the system maintains consistent image quality across varying work surfaces. This feedback mechanism resolves the contradiction between image quality consistency and device complexity.
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 device enhances the adaptability of the work surface by accurately calculating displacement on diverse surfaces and reduces power consumption by dynamically adjusting block sizes according to image quality and exposure parameters, improving operating stability and performance.
Implementation Method 1
a light source configured to emit light
Implementation Method 2
an image sensor configured to capture a current image
Data Source
AI summary
There is provided a displacement detection device including a light source, an image sensor and a control and processing unit. The light source is configured to illuminate a work surface. The image sensor is configured to receive reflected light from the work surface. The control and processing unit is configured to adjust a block size of comparison blocks according to a quality parameter.