Face Image Matching Across Entrance and Exit Zones
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Solution Overview
Problem
Existing monitoring technologies for amusement shop visits and illegal actions face challenges in accurately registering face images due to issues like unclear captures caused by natural light or disturbance, leading to incorrect determinations of visitor presence or departure, and increased complexity with multiple cameras.
Innovation Solution
A monitoring system that captures face images in multiple areas (entrance, inside, and exit) and uses search mechanisms to match and register face images across these areas, ensuring correct registration even in conditions where images are unclear, by utilizing cameras and database storage to manage and match images effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cameras are placed in the doorway to prevent failure to capture face images, then the reliability of capturing face images is improved, but the device complexity increases
Solution Approach 1:
The patent combines face image capture functionality across multiple areas (entrance, interior, exit) into a unified monitoring system that processes images from different locations. Instead of placing multiple cameras at the same doorway location, the system merges capture points across the entire shop space, reducing redundant equipment while maintaining reliability.
Solution Approach 2:
The patent transitions from a single-point capture approach (multiple cameras at doorway) to a multi-dimensional capture approach by distributing cameras across different spatial zones (entrance area, interior areas, exit area). This spatial distribution resolves the contradiction by achieving reliable capture without concentrating multiple cameras at one complex location.
2Device complexity
If face images are captured at the doorway, then the visit monitoring is simplified, but the measurement precision deteriorates due to natural light or disturbance light
Solution Approach 1:
The patent segments the face image capture process across multiple distinct areas rather than relying on a single doorway capture point. By dividing the monitoring into entrance area capture, interior area capture, and exit area capture, the system ensures that at least one clear image is obtained even if doorway conditions are poor.
Solution Approach 2:
The patent uses interior area cameras as intermediaries to capture face images when doorway conditions are unfavorable. These interior cameras serve as backup capture points that can obtain clear images不受 natural light or disturbance light affecting the doorway, thereby maintaining measurement precision without complicating the primary doorway monitoring approach.
3Measurement precision
If face images are captured in multiple areas, then the accuracy of determining visitor presence or departure is improved, but the data processing complexity increases
Solution Approach 1:
The patent creates a unified virtual representation of visitor status by processing and correlating face image data from multiple physical capture locations. The system generates a single authoritative record of visitor presence or departure by matching face images across different areas, effectively copying verification across locations while maintaining single-source truth in the database.
Solution Approach 2:
The patent implements feedback mechanisms where face image capture results from one area inform and adjust processing in other areas. When a face image is successfully captured and processed in one area, this feedback can trigger or validate corresponding processing in other areas, improving determination accuracy while managing processing complexity through coordinated feedback loops.
Data Source
AI summary
An entrance and in-store matching unit searches a first mismatched face image that is not matched with a face image captured at an entrance from all face images, which are captured in a store and registered in a biological information DB. An entrance and exit matching unit searches a second mismatched face image that is not matched with a face image captured at an entrance from all the face images, which are captured at an exit and registered in the biological information DB. An exit and in-store matching unit searches a matched face image that is matched with the second mismatched face image among the first mismatched face images. An entrance information registration unit registers the searched matched face image in the biological information DB as the face image captured at the entrance. The present invention can be applied to a monitoring system.