3D Vision Sensor Repositioning for Shadowed Region Measurement
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Solution Overview
Problem
Existing vision sensor systems face challenges in eliminating the effects of shadows during three-dimensional shape measurement, as the position and attitude adjustments do not always optimize shadow reduction.
Innovation Solution
A vision sensor system that includes an image capturing unit, movement mechanism, and movement control unit, which determines a second position and attitude based on measured three-dimensional shape height information to enhance shadow elimination by focusing on deficient regions and minimizing rotational movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera is disposed in a second position and attitude rotated by a predetermined angle from the first position and attitude, then the measurement can be performed multiple times to eliminate shadow effects, but the second position and attitude are not necessarily optimal for eliminating shadows as the shadow situation changes depending on the subject state
Solution Approach 1:
The system performs preliminary measurement to obtain initial three-dimensional shape data, identifies deficient regions (shadow areas) from this preliminary data, and then determines the optimal second position and attitude based on these identified deficient regions. This preliminary action allows the system to adapt the second position and attitude specifically to eliminate shadows in the actual measured regions rather than using a fixed predetermined rotation angle.
2Measurement precision
If the image capturing unit is moved to capture images from multiple positions and attitudes, then shadow effects can be eliminated, but the time required for movement increases
Solution Approach 1:
The system identifies specific deficient regions (shadow areas) in the three-dimensional shape data and determines the second position and attitude specifically targeted at capturing these local problematic areas. Rather than performing full 360-degree scanning or moving to multiple predetermined positions, the system focuses movement only on positions that will eliminate shadows in the identified deficient regions, thereby reducing overall movement time while maintaining shadow elimination capability.
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
This approach allows for improved acquisition of height information in shadowed areas, reducing the time required for image capturing unit movement and enhancing measurement accuracy.
Implementation Method 1
an image capturing unit 12 that captures an image of a subject
Implementation Method 2
a measuring unit 30 that measures a three-dimensional shape of a surface of the subject using an image captured by the image capturing unit 12
Data Source
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AI summary
On the basis of a measured shape, which is a three-dimensional shape of a subject measured by means of a measuring unit using an image captured when an image capturing unit is disposed in a first position and a first attitude, a movement control unit determines a second position and a second attitude for once again capturing an image of the subject, and sends an instruction to a movement mechanism. The three-dimensional shape is represented by means of height information from a reference surface. The movement control unit extracts, from the measured shape, a deficient region having deficient height information, and determines the second position and the second attitude on the basis of the height information around the deficient region of the measured shape. In this way, the position and attitude of the image capturing unit can be determined in such a way as to make it easy to eliminate the effects of shadows.