3D Pallet Model History Tracking via Multi-Camera Synthesis
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Solution Overview
Problem
In warehouse environments with automated robotic devices, it is challenging for human operators to monitor and diagnose changes, errors, or damage to pallets and objects in real-time, especially when cameras capture images intermittently and from different angles, making it difficult to maintain a comprehensive view of the pallet's history.
Innovation Solution
A computing system configured to receive images from multiple cameras, generate a three-dimensional model of the pallet, and update it over time, allowing users to view the history of the pallet via a user interface, highlighting significant events such as object additions or removals, and indicating unintended actions or damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras capture images intermittently from different angles, then comprehensive coverage of the pallet is achieved, but it becomes difficult to maintain a complete and accurate view of the pallet's history
Solution Approach 1:
The system transitions from viewing individual 2D images from multiple cameras to constructing a unified 3D model of the pallet. By synthesizing images from multiple cameras and time points into a three-dimensional representation, the system achieves comprehensive spatial coverage while maintaining complete historical information in a consolidated view that shows the pallet's state across different time intervals.
2Measurement precision
If images are captured over time from multiple cameras, then the full view of the pallet is captured, but the device complexity increases
Solution Approach 1:
The system merges multiple image streams from different cameras and time points into a single unified 3D model. Instead of managing separate image feeds from each camera, the system combines them into one comprehensive three-dimensional representation that shows the pallet's complete history, thereby reducing operational complexity while maintaining measurement precision.
Solution Approach 2:
The system creates a digital 3D copy of the physical pallet that can be viewed and analyzed without requiring operators to physically inspect the pallet or navigate through multiple camera feeds. This digital replica captures the complete history and state of the pallet, providing comprehensive measurement precision while simplifying the user interface and operational complexity.
3Loss of information
If a three-dimensional model is updated continuously over time, then the history of the pallet is preserved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by capturing and storing images at specific time intervals as they occur, rather than waiting to process all images at once. By progressively building and updating the 3D model as images are captured, the system preserves complete historical information while distributing computational processing over time, reducing peak processing demands and overall time loss.
Data Source
AI summary
An example method involves receiving, from at least one camera located in an environment, a plurality of images captured during a first time interval. The method also involves selecting one or more of the plurality of images having a movable platform supporting one or more objects. The method further involves generating a three-dimensional model of the movable platform supporting the one or more objects. The method yet further involves updating the three-dimensional model based on one or more images captured during a second time interval. The method still further involves presenting the three-dimensional model via a display of a user interface, and providing an option to view a history of the three-dimensional model such that the three-dimensional model remains in a fixed position on the display during a viewing of the history.