Video-Based Customer Counting for Region Association Analysis
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Solution Overview
Problem
Determining the association between different regions in a shopping site, such as a mall or supermarket, is challenging due to the manual effort and inaccuracy of counting customers, which affects store layout and customer experience.
Innovation Solution
A data processing method that involves obtaining video images of a target site, performing pedestrian identification processing to count customers in specific regions, and determining the degree of association between these regions based on customer counting results, thereby providing a more accurate and efficient analysis of region associations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual customer counting is used to determine region association, then the process is simple to implement, but the accuracy and efficiency of customer counting deteriorates
Solution Approach 1:
The patent replaces manual mechanical counting with an automated video image processing system that uses computer vision technology to detect, track, and count pedestrians automatically, eliminating the need for manual observation and recording while significantly improving both accuracy and efficiency
Solution Approach 2:
The system enables self-service automated counting where the video processing system independently performs pedestrian detection, tracking, and counting without human intervention, allowing the system to serve itself in completing the customer counting task accurately and efficiently
2Productivity
If manual customer counting is used to determine region association, then the implementation is straightforward, but the labor cost and time consumption increase
Solution Approach 1:
The video processing system performs multiple functions including pedestrian detection, tracking, counting, and association analysis within a single integrated framework, allowing one system to handle various region pairing scenarios and providing comprehensive analysis capabilities without requiring separate systems for each function
Solution Approach 2:
The patent introduces video images as an intermediary medium between the physical shopping environment and the analysis system, allowing automated processing of customer flow data without direct human intervention in the counting process, thus bridging the gap between physical observation and digital analysis
3Reliability
If comprehensive region pairing analysis is performed for all N region pairs, then complete association data is obtained, but the data processing time and complexity increase
Solution Approach 1:
The system performs analysis on all N region pairs to ensure completeness of association data, but uses efficient video processing and automated counting methods to minimize the time penalty, accepting the necessary processing workload to achieve comprehensive and reliable association analysis results
Data Source
AI summary
Examples of the present disclosure disclose data processing methods, apparatuses and storage media. The data processing method includes: obtaining a plurality of video images of a target site within a predetermined time range; performing pedestrian identification processing on the plurality of video images to obtain, based on the identification result, a customer counting result for a first region in the target site and a customer counting result for a second region in the target site; and determining a degree of association between the second region and the first region based on the customer counting result for the first region and the customer counting result for the second region.