Still Image Queue Analysis System for Cost-Effective Wait Time Measurement
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Solution Overview
Problem
Continuous video monitoring for customer shopping habits analysis is costly and time-consuming, creating a barrier for widespread adoption due to the need for extensive footage storage and analysis.
Innovation Solution
A still image queue analysis system that captures images at periodic intervals, estimating average queue length and wait time by counting people in wait and transaction zones, and using transaction data to calculate wait times, potentially reducing costs and analysis time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous video monitoring is used to analyze customer shopping habits, then measurement precision and reliability are improved, but cost and time consumption increase significantly
Solution Approach 1:
The system captures still images of the queue at periodic intervals (e.g., every few seconds or minutes) rather than continuously recording video. This periodic sampling approach maintains adequate measurement precision for queue length analysis while dramatically reducing the total volume of data that needs to be stored and analyzed, thereby reducing time consumption and computational resources
Solution Approach 2:
The system uses still image copies captured at intervals as representative samples of the queue state, rather than analyzing the complete continuous video footage. These still image copies contain sufficient information for queue length measurement while requiring minimal storage and processing time, effectively replacing the need for full video analysis
2Measurement precision
If continuous video monitoring is deployed, then queue analysis capability is improved, but cost and data storage requirements increase
Solution Approach 1:
By capturing still images at periodic intervals instead of continuous video recording, the system reduces data storage requirements from gigabytes or terabytes of video footage to merely kilobytes or megabytes of image files, while maintaining sufficient precision for queue length measurement through strategic sampling
Solution Approach 2:
The system stores and analyzes only still image copies of the queue at sampled time points, which are sufficient representations for determining queue length metrics. This copying approach reduces storage volume from continuous video streams to discrete image snapshots that can be efficiently stored and processed
3Productivity
If still image technology is used for queue analysis, then cost and time efficiency are improved, but measurement precision may be reduced
Solution Approach 1:
The system employs periodic still image capture at optimized intervals that balance measurement precision with efficiency. By strategically selecting capture frequencies and positions, the system achieves adequate precision for queue length analysis while maintaining high productivity through reduced data processing requirements compared to continuous video analysis
Solution Approach 2:
The system uses still image copies that capture key queue information at sampled moments. These images are processed using image recognition algorithms that extract queue length data efficiently, achieving a practical balance between measurement precision and analysis productivity by focusing computational resources on extracting essential metrics from representative samples
Data Source
AI summary
A system and method for analyzing a queue. The method may comprise defining a queue and evaluating a series of still images of the queue zone at periodic intervals over a predefined period of time. The method may further comprise approximating an estimated average number of people in the queue over the interval during which the still image was taken to be a number of people counted in the queue zone minus one person who is assumed to be engaged in a transaction. The method may further comprise calculating an estimated average number of the people in the queue over the predefined period by averaging estimated average number of people over intervals within the predefined period. The method may further comprise determining a measure of a queue length based on the estimated average number of people in the queue over the predefined period.