Zone Tracking System with Virtual Gates for Retail Flow Analysis
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Solution Overview
Problem
Existing tracking systems lack the capability to efficiently monitor and analyze the movement of multiple objects within a field of view, particularly in retail environments, where detailed customer flow data is needed without requiring individual identification, and they struggle to distinguish between objects and generate relevant event messages for statistical purposes.
Innovation Solution
A tracking system comprising cameras that detect objects crossing virtual 'gates' within a field of view, generating event messages for entry, exit, and stay within specific zones, while associating attributes to differentiate objects and ignore predefined objects, enabling efficient data processing for statistical analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual identification of persons is implemented, then tracking precision is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent extracts only the essential tracking information needed for statistical analysis (entry/exit events, zone presence) while deliberately excluding individual identification data. This selective extraction maintains measurement precision for flow analysis while reducing device complexity and data processing requirements by not implementing biometric or personal identification systems.
Solution Approach 2:
The system uses temporary, anonymous tracking identifiers that are discarded after the tracking purpose is fulfilled, rather than maintaining permanent individual identification records. This approach provides sufficient tracking precision for statistical purposes while minimizing device complexity and data storage requirements.
2Loss of information
If detailed tracking data is collected for all objects, then information completeness is improved, but data processing time and computational resources increase
Solution Approach 1:
The system extracts only the specific information needed for statistical analysis (zone entry/exit events, presence duration) while filtering out unnecessary detailed data about individual objects. This selective extraction maintains information completeness for flow analysis while dramatically reducing data processing time and computational resource requirements.
Solution Approach 2:
The patent implements partial tracking by monitoring only the essential aspects of object movement (crossing virtual gates, presence in zones) rather than continuously tracking all movements and behaviors. This partial action approach provides sufficient information for statistical purposes while minimizing data processing time.
3Area of stationary object
If multiple zones are monitored simultaneously, then coverage area is improved, but system complexity and processing load increase
Solution Approach 1:
The patent divides the monitored area into multiple distinct zones with defined boundaries and virtual gates. Each zone is independently tracked, allowing comprehensive coverage area while managing system complexity through modular zone management. The segmentation enables the system to process each zone separately, reducing the overall processing load compared to monitoring a single large continuous area.
Solution Approach 2:
The system introduces virtual gates as a new dimensional element (boundary dimension) to manage zone transitions. This dimensional approach allows multiple zones to be monitored simultaneously by tracking gate crossing events, thereby expanding coverage area while keeping system complexity manageable through structured event-based processing.
Data Source
AI summary
A tracking system for tracking objects within a field of view is disclosed. The field of view may include a first zone and an adjacent zone of interest where at least two gates are associated with respective sides of the first zone within the field of view. The first camera is configured to detect when an object crosses one of the at least two gates and track the object throughout the first zone and the zone of interest. The tracking system is configured to generate a first event message in response to the object being tracked from one of the gates into the zone of interest and subsequently leaving the first zone through a dedicated gate of the at least two gates.