Depth Sensor Calibration for Automated Part Inspection
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Solution Overview
Problem
Current part inspection methods rely heavily on human visual inspection and manual measurement, which are labor-intensive, time-consuming, and prone to human error, especially when dealing with large or complex parts.
Innovation Solution
A measurement system utilizing a part support, a measurement head with multiple depth sensors, and a calibration monument to obtain depth data along a scan path. The system determines calibration measurements for the monument features and, upon meeting predetermined conditions, calculates part measurements from the depth data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated depth sensing is implemented, then productivity and measurement speed improve, but device complexity increases due to multiple sensors and calibration requirements
Solution Approach 1:
A calibration monument with known features is introduced as an intermediary object to establish a reference coordinate system. The monument enables the measurement system to self-calibrate by comparing sensor readings against known dimensions, thereby managing system complexity through a standardized reference rather than requiring complex internal calibration mechanisms.
Solution Approach 2:
The calibration monument creates a digital reference model of known geometry that serves as a virtual copy for comparison. This allows the system to validate measurements against predetermined values without requiring physical measurement standards during actual part inspection, streamlining the measurement process.
2Measurement precision
If multiple depth sensors are used to improve measurement precision, then measurement precision improves, but device complexity and data processing requirements increase
Solution Approach 1:
The measurement task is segmented across multiple depth sensors positioned at different locations and angles. Each sensor captures a portion of the part geometry, and the system integrates these segmented measurements into a complete three-dimensional model, achieving comprehensive coverage and improved precision through distributed sensing.
Solution Approach 2:
Multiple depth sensors capture measurements from different spatial dimensions and angles simultaneously. By combining depth data from multiple vantage points, the system constructs a comprehensive three-dimensional representation of the part, enhancing measurement precision through multi-dimensional data fusion.
3Device complexity
If manual measurement methods are used, then device complexity remains low, but productivity and inspection time increase significantly
Solution Approach 1:
Manual mechanical measurement tools (calipers, tape measures) are replaced with optical depth sensing technology. The system uses non-contact laser or structured light-based depth sensors to automatically capture part geometry, eliminating the need for manual measurement operations and dramatically increasing inspection throughput.
Solution Approach 2:
The measurement system performs self-calibration by automatically comparing sensor readings of the calibration monument against known reference values. This self-service calibration capability eliminates the need for manual calibration procedures, maintaining operational simplicity while enabling automated high-speed measurement.
Data Source
AI summary
One example provides a measurement system for a part. The measurement system comprises a part support arranged along a scan path, a measurement head, a plurality of depth sensors arranged on the measurement head, and a calibration monument arranged along the scan path. The calibration monument including a plurality of features representative of part geometry on the part. The measurement system further comprises a controller configured to obtain, from the plurality of depth sensors, depth data of the calibration monument and the part along the scan path, determine a calibration measurement for the plurality of features of the calibration monument from the depth data, and when calibration measurement meets a predetermined calibration condition, determine a part measurement for the part from the depth data.