Image Capture Device Traffic Measurement via Computer Vision
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Solution Overview
Problem
Current methods for measuring user engagement in retail environments, such as survey-based statistics and RFID systems, are expensive, inefficient, and fail to provide accurate daily or weekly utilization data.
Innovation Solution
A system utilizing an image capture device to generate image data, which is processed to apply a zoom-in crop process and implement an image processing model to generate person count and dwell time metrics, thereby calculating an engagement metric representative of engagement with specific features in the environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If survey-based statistics are used to measure user engagement, then user engagement data can be obtained, but the process is expensive and inefficient requiring direct user interaction
Solution Approach 1:
The patent replaces manual survey-based measurement methods with an automated computer vision system using image capture devices and machine learning models. This substitution eliminates the need for direct user interaction while providing continuous, accurate engagement metrics through automated image analysis and processing.
2Measurement precision
If RFID systems are deployed to track movement, then user movement can be tracked, but installation requires large investment of time, money, manpower, and materials
Solution Approach 1:
The patent uses image capture devices to create visual copies of the physical environment and user movements. Instead of deploying physical RFID tags and readers throughout the space, the system captures and analyzes images to track movement patterns, dramatically reducing installation time and resource requirements while maintaining tracking accuracy.
3Measurement precision
If RFID systems are deployed to track movement, then user movement can be tracked, but the system is expensive and inefficient
Solution Approach 1:
The patent creates a multi-functional system where image capture devices serve multiple purposes: tracking user movement, measuring engagement with specific areas or products, and generating comprehensive analytics. This universal approach replaces specialized RFID infrastructure with a single platform that delivers multiple measurement capabilities simultaneously, improving overall system efficiency and reducing costs.
Data Source
AI summary
Systems and methods for traffic measurement are disclosed. An image capture device is configured to generate image data including an area of interest within a physical environment containing at least one engagement feature. The image data is received and model input image data including a plurality of cropped images is generated by applying a zoom-in crop process to the image data. An image processing model generates a person count and dwell time. The image processing model receives the model input image data as an input. An engagement metric is generated based on the person count and the dwell time. The engagement metric is representative of engagement with the at least one engagement feature.