Queue Last Person Detection Using Vector Field Analysis
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Solution Overview
Problem
Existing methods fail to accurately identify the last person in a queue, especially in complex scenarios with non-linear paths, improper spacing, and privacy concerns, which complicates guiding new arrivals to join the queue correctly.
Innovation Solution
A computer-based system that uses image analysis to determine the positions and facing directions of individuals in a queue, employing vector field analysis to identify the last person and provide instructions for proper queue joining without requiring training data or specific point-of-interest inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional queue identification methods are used, then the system is simple to implement, but the accuracy of identifying the last person in queue deteriorates in complex scenarios
Solution Approach 1:
The patent segments the queue identification problem into multiple analysis components: detecting individual people, determining their facing directions, analyzing spatial relationships, and identifying queue structure. This segmentation allows the system to handle complex queue scenarios by breaking them down into manageable detection tasks, improving accuracy without requiring an overly complex monolithic system.
Solution Approach 2:
The patent introduces vector field analysis as an additional dimensional approach to queue identification. By analyzing not just the positions but also the facing directions of individuals as vectors, the system gains a new dimension of information that helps accurately identify the last person in queue, especially in non-linear or improperly spaced queues where traditional 2D position-only methods fail.
2Measurement precision
If detailed image analysis is performed to identify queue structure, then the accuracy of queue identification improves, but the processing time increases
Solution Approach 1:
The patent performs preliminary detection of individual people and their facing directions before conducting the full queue structure analysis. By pre-processing the image to identify basic elements (people positions and orientations), the system reduces the computational burden of the subsequent vector field analysis, thereby decreasing overall processing time while maintaining high accuracy in queue identification.
3Ease of operation
If the system provides comprehensive queue joining instructions, then the usability for new arrivals improves, but the device complexity increases
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically generates and provides queue joining instructions based on its analysis of the queue structure. The modified image with highlighted last person and directional indicators serves as an intuitive, self-explanatory guide that requires no additional complex interfaces or manual intervention, thereby improving ease of operation without proportionally increasing device complexity.
Data Source
AI summary
A method, a computer program product, and a computer system identifies a last person of a queue. The method includes receiving an image of the queue where the image includes a plurality of individuals comprising the queue. The method includes determining positions and facing directions of the individuals comprising the queue. The method includes identifying the last person of the queue based on a vector field analysis according to the positions and the facing directions of the individuals comprising the queue. The method includes generating instructions to join the queue based on the identified last person of the queue. The instructions include a modified image indicating the last person of the queue in the image.