Optical Encoder Absolute Positioning via Surface Feature Recognition
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Solution Overview
Problem
Conventional optical encoders require complex surface processing and specialized markers for accurate position detection, limiting their application and increasing complexity.
Innovation Solution
An optical encoder system that uses a memory, light emitting unit, and light sensing unit to detect reflected light and determine positions based on predetermined shutter parameters or image features, eliminating the need for optical lenses and allowing for microminiaturization by calculating relative displacement using captured images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional optical encoding methods are used with markers and light sources, then position detection accuracy is improved, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent uses image capture to create a digital copy of the detection surface, storing reference image data that represents known positions. This digital copy replaces the need for complex physical markers and enables position detection through image comparison rather than optical encoding with specialized surface markers
Solution Approach 2:
The patent replaces the mechanical/optical encoding system with markers and light sources with an image-based detection system. Instead of using physical markers that require precise manufacturing and specialized optical components, the system uses captured images and digital image processing to determine positions
2Measurement precision
If specialized markers with specific density are arranged on the working surface, then encoding accuracy is improved, but ease of manufacture deteriorates
Solution Approach 1:
The patent captures images of the detection surface to create digital reference data that stores information about known positions. This digital copying approach eliminates the need to physically manufacture markers with specific densities and patterns, as the reference information is obtained through image capture and processing
Solution Approach 2:
The patent changes the approach from physical marker parameters (density, pattern, material) to digital image parameters (pixel values, feature detection algorithms). By transforming the problem from physical encoding to digital image processing, the system achieves encoding accuracy without requiring complex manufacturing of markers
3Measurement precision
If multiple light sources with specific emission sequences are used, then position detection precision is improved, but device complexity increases
Solution Approach 1:
The patent uses a single image capture device to create a digital copy of the entire detection surface, eliminating the need for multiple light sources emitting in specific sequences. The digital image contains spatial information that allows position determination without complex temporal light emission patterns
Solution Approach 2:
The patent transitions from temporal encoding (light emission sequences over time) to spatial encoding (image data containing position information in a single captured frame). This dimensional change allows position detection to be determined from a single image rather than requiring multiple light sources operating in sequence
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 precise position determination without complex surface processing or specialized markers, reducing system size and increasing accuracy through image-based calculations.
Implementation Method 1
The light sensing unit is configured to detect reflected light from the detection surface
Data Source
AI summary
The present disclosure is related to an optical encoder which is configured to provide precise coding reference data by feature recognition technology. To apply the present disclosure, it is not necessary to provide particular dense patterns on a working surface. The precise coding reference data can be generated by detecting surface features of the working surface.