Sensor Calibration Suitability Assessment Using Image Index Detection
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Solution Overview
Problem
Operators without expertise face challenges in obtaining accurate sensor calibration input data for image capturing apparatuses, as existing methods require precise measurement and index detection, which can be influenced by environmental factors and sensor accuracy variations, making it difficult to determine suitable calibration data.
Innovation Solution
An information processing apparatus and method that includes an image obtaining unit, index detection unit, measurement value obtaining unit, determination unit, and presentation unit to assess the suitability of calibration data based on index information and measurement values, providing a recommendation level for calibration data suitability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If operators without expertise perform sensor calibration using existing methods, then the calibration process becomes accessible to more users, but the accuracy and reliability of calibration data deteriorates due to inability to judge data suitability
Solution Approach 1:
The system automatically evaluates the suitability of calibration input data by comparing index information from captured images with sensor measurement values, and provides feedback in the form of a recommendation level to guide operators on data quality without requiring expert knowledge
Solution Approach 2:
The system performs self-evaluation of calibration data quality through automated algorithms that assess the consistency between visual index detection and sensor measurements, enabling non-expert operators to obtain reliable calibration results without external guidance
2Measurement precision
If strict requirements for calibration input data quality are enforced, then calibration accuracy is improved, but the complexity of the calibration process increases making it harder for non-experts to operate
Solution Approach 1:
The recommendation level acts as an intermediary that translates complex quality assessment criteria into simple, interpretable guidance for operators, bridging the gap between strict technical requirements and user-friendly operation
Solution Approach 2:
The system dynamically adjusts the stringency of calibration requirements based on the evaluated suitability of input data, allowing flexible operation where non-critical applications can use relaxed criteria while maintaining the option for high-precision calibration when needed
3Reliability
If calibration data is collected from various positions and orientations to improve accuracy, then the calibration result reliability improves, but the time and effort required for data collection increases
Solution Approach 1:
The system evaluates the suitability of each calibration input individually and recommends using only those data points that meet quality criteria, avoiding the time waste of collecting and processing unnecessary or low-quality calibration data from suboptimal positions and orientations
Data Source
AI summary
An information processing apparatus includes an image obtaining unit that obtains an image captured by an image capturing apparatus. An index detection unit detects index information from the image. A measurement value obtaining unit obtains a measurement value measured by a sensor. A determination unit determines a suitability of calibration data for the sensor, which includes the index information and the measurement value, based on the index information and the measurement value. A presentation unit presents the suitability.