Distance Measurement Device Accuracy Derivation via Pre-computed Factor Lookup
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Solution Overview
Problem
Existing distance measurement devices struggle to accurately derive the in-image irradiation position and maintain high measurement accuracy due to factors like lens replacement, angle of view changes, and manufacturing variations, requiring frequent data acquisition processes which are cumbersome and often result in approximate distance measurements.
Innovation Solution
A distance measurement device equipped with an imaging unit, measurement unit, deriving unit, and output unit that calculates derivation accuracy based on correspondence relations between assumption factors, allowing for accurate derivation of in-image irradiation positions and real-space region dimensions, even when factors influencing the irradiation position are present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequent data acquisition processes are performed to maintain high measurement accuracy, then measurement precision is improved, but device complexity and operation time increase
Solution Approach 1:
The patent pre-calculates and stores correspondence relations between assumption factors (lens replacement, angle of view changes, manufacturing variations) and derivation accuracy values before actual measurement. This preliminary preparation eliminates the need for frequent complex data acquisition processes during measurement, while maintaining high accuracy through lookup of pre-computed accuracy values.
Solution Approach 2:
The patent anticipates potential sources of measurement error by pre-identifying assumption factors that may influence irradiation position (lens replacements, angle of view changes, manufacturing variations). By preparing correspondence data for these factors in advance, the system cushions against accuracy degradation without requiring complex real-time corrections during measurement.
2Measurement precision
If frequent data acquisition processes are performed to maintain high measurement accuracy, then measurement precision is improved, but operation time increases
Solution Approach 1:
The system performs data acquisition and accuracy calculation in advance, storing correspondence relations between assumption factors and derivation accuracy values. During actual measurement, the system simply retrieves pre-computed accuracy information, dramatically reducing operation time while maintaining measurement precision.
3Measurement precision
If assumption factors are considered to derive accurate in-image irradiation positions, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent creates a simplified correspondence model that copies the essential relationship between assumption factors and derivation accuracy without implementing the full complex physical calculations. This lookup-table approach maintains measurement precision while avoiding the complexity of real-time optical calculations.
Solution Approach 2:
The system transforms the complex problem of calculating irradiation position accuracy into a parameter lookup problem. By changing from direct calculation to parameter retrieval based on pre-established correspondence relations, the system maintains precision while reducing computational complexity.
4Measurement precision
If multiple assumption factors are monitored to maintain accuracy, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically manages multiple assumption factors (lens replacement, angle of view changes, manufacturing variations) without requiring user intervention. The correspondence relations are maintained and queried automatically, keeping the interface simple while ensuring accurate measurement through comprehensive factor monitoring.
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 users to easily ascertain the derivation accuracy of real-space region dimensions and in-image irradiation positions, improving measurement precision and reducing the need for frequent data acquisition processes, thus providing more reliable and efficient distance measurements.
Implementation Method 1
a measurement unit that measures a distance to the subject by emitting directional light rays which are light rays each having directivity to the subject and receiving reflection light rays of the directional light rays
Data Source
AI summary
A distance measurement device includes a deriving unit that derives a dimension of a real-space region corresponding to an interval between a plurality of pixels associated with in-image irradiation positions derived as positions, which correspond to irradiation positions of laser beams onto a subject, within a captured image acquired by imaging the subject by an imaging unit, based on a distance measured by a measurement unit, an interval between a plurality of designated pixels, and a focal length of the imaging unit, and an output unit that derives derivation accuracy corresponding to an actually present factor based on a first correspondence relation between assumption factors assumed as factors influencing in-image irradiation positions and derivation accuracy derived by the deriving unit, and outputs information based on the derived derivation accuracy.