3D Camera Container Completeness Check with Visual ROI Setup
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Solution Overview
Problem
Existing methods for checking the completeness of containers using 3D cameras are cumbersome due to complex and user-unfriendly settings of limit values for regions of interest (ROIs).
Innovation Solution
A method that employs a user-settable multi-ROI with adjustable shape, number of rows, columns, and raster type, including a learning mode for easy setup and adjustment of ROI size, position, and limits, allowing users to visually set and adjust limits through a graphical interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional ROI limit value settings are used, then completeness checking can be performed, but the setup process becomes complicated and user-unfriendly
Solution Approach 1:
The patent creates a visual copy of the captured image and overlays ROIs directly on it, allowing users to see and adjust limit values in the context of the actual image rather than dealing with abstract numerical parameters. This visual copying approach makes the setup process intuitive and user-friendly.
Solution Approach 2:
The patent introduces an intermediary visual representation layer between the raw 3D camera data and the user interface. Instead of presenting raw distance values and requiring direct numerical input, the system mediates through visual ROI overlays that show limit values graphically, making the interaction more accessible.
2Ease of operation
If visual feedback is provided for ROI adjustment, then user experience improves, but information display complexity increases
Solution Approach 1:
The patent segments the display into distinct functional areas: a first image area for showing the captured image with ROI overlays, and a second image area for displaying height values and limit information. This segmentation allows visual feedback to be provided without overwhelming the user with all information in a single view.
Solution Approach 2:
The patent transitions from displaying only 2D image information to incorporating 3D height value information in a separate dimension (the second image area). This dimensional separation allows comprehensive information display while maintaining clarity, as height data is presented alongside visual ROI feedback rather than mixed together.
Data Source
AI summary
A method for checking the completeness of a container provided with a plurality of objects by means of a 3D camera includes providing a three-dimensional image of the objects and a multi-ROI. The multi-ROI includes a plurality of ROIs which have a user-settable shape and are arranged within the multi-ROI in a user-settable number of rows, columns and raster type, including a learning mode and a temporally subsequent working mode.