Baggage Identification via 3D Point Cloud Matching
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Solution Overview
Problem
Current baggage identification and reconciliation systems in public transport rely on tags and scanners, which are prone to errors and can lead to misidentification and loss of baggage, especially during the check-in and check-out processes.
Innovation Solution
A method and system that creates a virtual baggage identity using 3D point clouds generated from multiple images of baggage from various angles, eliminating the need for physical tags and scanners, and ensures accurate identification and reconciliation by mapping this identity to passenger details, allowing for contactless handling and precise delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If tags and scanners are used for baggage identification, then the baggage can be tracked through the transport system, but errors in processing lead to misidentification and loss of baggage
Solution Approach 1:
The patent creates a virtual copy of the baggage's physical appearance by capturing multiple images from different angles and processing them into a 3D point cloud representation. This digital twin serves as the baggage's identifier, replacing traditional tags and scanners. The virtual copy accurately represents the unique visual characteristics of each baggage item, enabling reliable identification without physical tags.
Solution Approach 2:
The patent replaces the mechanical tag-and-scanner system with an optical recognition system. Instead of using physical tags that require scanning devices, the system uses cameras to capture images and processes them into 3D point clouds for identification. This substitution eliminates the mechanical components that are prone to errors and loss.
2Measurement precision
If multiple images are captured from multiple angles to create a virtual baggage identity, then baggage identification accuracy is improved, but the complexity of the identification system increases
Solution Approach 1:
The patent transitions from 2D images to a 3D point cloud representation of the baggage. By capturing images from multiple angles and processing them into a three-dimensional model, the system creates a more comprehensive and accurate digital representation of the baggage's shape and features, significantly improving identification precision.
Solution Approach 2:
The system performs the complex image capture and 3D point cloud generation process in advance, during the check-in phase. This preliminary action creates the virtual baggage identity before the baggage is transported, so that during check-out, only a simple comparison between the captured point cloud and the stored virtual identity is needed, reducing real-time processing complexity.
3Ease of manufacture
If traditional tag-based systems are used, then the implementation is straightforward, but the systems are prone to errors and can lead to baggage loss
Solution Approach 1:
The patent creates a virtual copy of the baggage's physical appearance by capturing multiple images from different angles and processing them into a 3D point cloud representation. This digital twin serves as the baggage's identifier, replacing traditional tags and scanners. The virtual copy accurately represents the unique visual characteristics of each baggage item, enabling reliable identification without physical tags.
Solution Approach 2:
The patent replaces the mechanical tag-and-scanner system with an optical recognition system. Instead of using physical tags that require scanning devices, the system uses cameras to capture images and processes them into 3D point clouds for identification. This substitution eliminates the mechanical components that are prone to errors and loss.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces the likelihood of misidentification and loss of baggage by providing a robust and accurate method for tracking and delivering luggage to the correct passengers, enhancing operational efficiency and passenger experience.
Implementation Method 1
capturing multiple images of the piece of baggage from multiple altitudes and angles and generating a check-in 3D point cloud corresponding to the piece of baggage on the basis of the multiple images captured
Implementation Method 2
comparing check-in 3D point clouds with the check-out 3D point cloud or point pattern
Data Source
AI summary
A baggage identification/baggage reconciliation method for public transport is provided. The method involves passenger identification and capturing parameters of piece(s) of baggage at check-in to form a virtual baggage identity, including capturing multiple images of the piece of baggage and generating a check-in 3D point cloud to the piece of baggage therefrom, which involves extracting corner point positions of the piece(s) of baggage. The virtual baggage identity is mapped to the passenger/transport details. The method includes identifying the passenger at the check-out and identifying the piece(s) of baggage at the check-out using the virtual baggage identity, said identification including capturing image(s) of the piece(s) of baggage at the check-out and generating a check-out 3D point cloud/point pattern from said captured image(s) and comparing check-in 3D point clouds with check-out 3D point cloud/point pattern and delivering the identified piece of baggage to the identified passenger.