Multi-View Measurement for Blind-Spot-Free Machining Region Specification
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Solution Overview
Problem
Existing measurement techniques for specifying machining regions in additive manufacturing and cutting processes fail to accurately account for blind spots due to object shape or size, leading to incomplete data and inaccurate region specification.
Innovation Solution
A measurement device with a sensor, measurement unit, missing region detector, data completer, and machining region specifier, which acquires image information, detects missing regions, re-measures to complement data, and specifies machining regions based on a reference model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single sensor performs three-dimensional measurement of an object, then the measurement process is simple and quick, but blind spots appear depending on the shape or size of the object, leading to missing measurement data
Solution Approach 1:
The measurement process is segmented into multiple measurement positions. The object is measured from different positions (e.g., front, back, left, right) to eliminate blind spots. Each position captures different portions of the object, and the results are integrated to form complete three-dimensional measurement data.
Solution Approach 2:
The measurement approach transitions from a single viewpoint to multi-viewpoint measurement. By adding spatial dimensions to the measurement process (measuring from multiple positions around the object), the system overcomes the limitation of blind spots while maintaining measurement efficiency.
2Measurement precision
If multiple sensors are used to eliminate blind spots, then measurement completeness improves, but device complexity and cost increase
Solution Approach 1:
Instead of using multiple stationary sensors simultaneously, the system uses a single sensor that dynamically changes measurement positions. The sensor moves to different locations around the object, capturing data from multiple perspectives sequentially, thereby achieving complete measurement without requiring multiple sensors.
Solution Approach 2:
The single sensor performs multiple measurement tasks by itself through repositioning. The sensor serves multiple measurement positions and angles that would otherwise require multiple sensors, reducing system complexity while maintaining measurement completeness.
3Device complexity
If measurement data is incomplete due to blind spots, then the measurement process remains simple, but accurate specification of machining regions becomes difficult
Solution Approach 1:
The system performs preliminary measurements from multiple positions before specifying the machining region. By completing the three-dimensional measurement data acquisition in advance through multi-position measurement, the system ensures that all necessary data is available for accurate machining region specification.
Solution Approach 2:
The system uses the collected three-dimensional measurement data as feedback to accurately specify machining regions. The complete measurement data from multiple positions provides the necessary information base for precise determination of addition and cutting regions, ensuring manufacturing precision.
Data Source
AI summary
A measurement device includes: a sensor that acquires image information by imaging an object targeted for addition of materials or cutting; a measurement unit that acquires measurement data by measuring the shape of the object on the basis of the image information, the measurement data representing a shape of the object; a missing region detecting unit that detects a missing region of the object; a measurement data complementing unit that acquires re-measurement data by re-measuring the shape of the object on the basis of the image information which the sensor has acquired by re-imaging, and complements the measurement data with the re-measurement data; and a machining region specifying unit that specifies a machining region for the addition or the cutting, on the basis of the complemented measurement data and a model of a finished product obtained by the addition or the cutting.