Optical Displacement Meter Blind Spot Error Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Optical displacement meters using the light sectioning method face measurement errors due to blind spots where the height cannot be measured, leading to erroneous detection values in the Y direction based on the triangulation principle.
Innovation Solution
An optical displacement meter with a light projecting section that scans slit or spot light in the X direction, a two-dimensionally arranged image sensor to receive reflected light, and a determining unit that identifies and corrects erroneous detection values by determining if a profile exists within the blind spot region formed by the angle between the light projecting and receiving axes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the optical displacement meter uses the principle of triangulation to measure height, then the measurement speed and ability to acquire cross-section profiles are improved, but blind spot regions occur where height cannot be measured, leading to measurement errors
Solution Approach 1:
The determining unit预先 identifies blind spot regions based on the known geometric relationship between the light projecting axis and light receiving axis. By calculating where blind spots will occur before measurement, the system can flag and exclude erroneous measurements in advance, preventing false data from affecting the final three-dimensional shape measurement
Solution Approach 2:
The determining unit acts as an intermediary between the measurement process and the final results. It receives measurement data, cross-references it with pre-calculated blind spot regions, and filters out erroneous measurements before they contaminate the three-dimensional shape data, thus maintaining both high productivity and measurement accuracy
2Measurement precision
If the optical displacement meter increases measurement accuracy requirements, then the quality of measurement results is improved, but previously negligible measurement errors become apparent and affect the three-dimensional shape data
Solution Approach 1:
The determining unit provides feedback by continuously monitoring measurement data against known blind spot regions. When measurements fall within blind spot regions, the system automatically identifies and excludes these erroneous values, creating a feedback loop that maintains data reliability even as measurement accuracy requirements increase
Solution Approach 2:
The invention converts the harmful effect of blind spot regions into a beneficial filtering mechanism. By explicitly identifying and excluding measurements from blind spot regions, the system transforms potential errors into a structured quality control process, ensuring that only reliable measurements contribute to the final three-dimensional shape data
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 determination and correction of erroneous detection values, improving the measurement accuracy of three-dimensional shapes by identifying and excluding measurement results from blind spot regions.
Implementation Method 1
measures a profile of an X-Z cross section of a measuring object conveyed in a Y direction based on a principle of triangulation
Implementation Method 2
an image sensor that receives reflected light from the measuring object
Data Source
AI summary
The optical displacement meter generates, from each position of a plurality of pixel rows in a U direction and a peak position in a V direction, a plurality of profiles of the X-Z cross section, and measures a three-dimensional shape of the measuring object based on the plurality of profiles acquired at different positions in the Y direction. The optical displacement meter determines, based on whether a profile exists in a blind spot region in which it is impossible to measure a height which occurs in a Y-Z cross section corresponding to an angle formed between a light projecting axis of a light projecting section and a light receiving axis of an image sensor based on a principle of triangulation, a part of the three-dimensional shape generated by a measuring unit as an erroneous detection value.