3D Master Data Capture With Permissible Object Classification
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Solution Overview
Problem
Existing master data acquisition systems are hindered by the presence of extraneous objects, leading to increased effort, reduced throughput, and potential for false measurements due to the need for a completely clear measurement area.
Innovation Solution
A method and device that classify extraneous objects into permissible and impermissible categories, allowing data acquisition to commence even when permissible objects are present, using a 3D camera to determine depth values and classify objects based on image analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the measurement area is kept completely free of extraneous objects during measurement, then measurement accuracy is improved, but throughput decreases and measurement effort increases
Solution Approach 1:
The patent segments extraneous objects into two categories: permissible extraneous objects (hands and arms of personnel) and impermissible extraneous objects (other objects that must not be in the field of view). This segmentation allows the system to tolerate certain extraneous objects while maintaining measurement accuracy, thereby increasing throughput without sacrificing precision.
Solution Approach 2:
The patent applies different rules to different regions of the image by analyzing depth values. Objects at specific depth ranges (permissible extraneous objects) are treated differently from objects at other depths (impermissible extraneous objects). This local differentiation allows hands and arms to be present in the field of view during data acquisition while still enabling accurate measurement.
2Reliability
If the measurement area is kept completely free of extraneous objects during measurement, then measurement reliability is improved, but measurement speed decreases
Solution Approach 1:
The patent performs preliminary classification of objects in the image before measurement begins. By using depth value analysis to identify and classify permissible extraneous objects in advance, the system can start data acquisition sooner without risking measurement reliability. This preliminary action eliminates the need to wait for complete clearance of the measurement area.
Solution Approach 2:
The patent introduces depth value analysis as an intermediary mechanism to distinguish between permissible and impermissible extraneous objects. This intermediary allows the system to make intelligent decisions about which objects can be tolerated during measurement, enabling faster acquisition while maintaining reliability through depth-based object differentiation.
Data Source
AI summary
The invention relates to a method and apparatus for collecting master data. The device comprises: a scale, a camera for recording an image of the object, an evaluation unit with a volume determination unit for determining the volume of the object, a starter unit which automatically determines a start time for recording the master data relating to the object volume when the object is placed on the scale, a memory for storing the recorded master data, an output unit for outputting the master data, the starter unit being designed to determine the start time from the recorded image of the camera, and the starter unit having an image evaluation unit for this purpose, and the image evaluation unit being designed to carry out an object classification by means of which, in addition to the object, extraneous objects are also recognized as permissible or impermissible extraneous objects.