Automatic Identity Pairing via Position Matching in Monitoring Systems
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Solution Overview
Problem
Current monitoring systems require significant human resources to manually identify visitors and pair identity data with facial images, leading to inefficiencies in recognizing and verifying identities within monitoring regions.
Innovation Solution
A system and method that utilize an image capture device, a scanning device, and a control device to automatically recognize identities by matching image positions and badge positions within a monitoring region, allowing for instant pairing of object images with identity data using data fusion technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual pairing of identity data with facial images is performed, then identity recognition accuracy is improved, but time consumption and human resources increase significantly
Solution Approach 1:
The system enables automatic self-service pairing by having the monitoring device capture facial images and the access control device provide identity data, with the pairing performed automatically through position matching without requiring manual intervention. This resolves the contradiction by making the system perform the pairing operation autonomously, eliminating time consumption and human resource requirements while maintaining pairing accuracy through automated image recognition and position correlation algorithms.
Solution Approach 2:
The patent replaces the manual mechanical pairing process with an automated electronic system that uses image recognition technology and position matching algorithms. The monitoring device captures facial images, the access control device provides identity data, and the processor automatically performs position matching and pairing operations. This substitution eliminates the need for manual human operation, resolving the contradiction by maintaining accuracy through automated recognition while eliminating time loss and human resource consumption.
2Measurement precision
If manual pairing of identity data with facial images is performed, then pairing accuracy is improved, but human resources and operational complexity increase
Solution Approach 1:
The system performs automatic self-service pairing by capturing facial images through the monitoring device, retrieving identity data from the access control device, and automatically matching them based on position information. This eliminates the need for manual pairing operations, making the system easy to operate while maintaining high pairing accuracy through automated image recognition and position correlation algorithms.
Solution Approach 2:
The patent replaces manual pairing operations with an automated electronic system that uses image recognition and position matching. The processor automatically correlates facial images with identity data based on position information, eliminating the need for manual human operation. This resolves the contradiction by maintaining pairing accuracy through automated recognition algorithms while dramatically improving operational simplicity.
3Productivity
If automatic recognition system is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent employs a processor that performs multiple functions: capturing facial images, retrieving identity data, determining positions, matching positions, and pairing data. By using a single multi-functional processing unit rather than separate dedicated devices for each function, the system improves productivity through automated recognition while minimizing the increase in device complexity through functional integration.
Solution Approach 2:
The system merges the monitoring device and access control device into a coordinated automated recognition system. The monitoring device captures images, the access control device provides identity data, and the processor performs all processing operations. This merging of functions into a unified automated system improves productivity while managing complexity through integrated design rather than multiple separate systems.
Data Source
AI summary
A system of recognizing identity of object and method of automatically recognizing identity of object are provided. The method is to shoot a monitoring region for obtaining a monitoring image, recognize an object image in the monitoring image, scan the monitoring region for retrieving each identity data of each wireless badge, determines each image position of each object image in the monitor region, determine each badge position of each wireless badge in the monitor region, and link the object image and the identity data together when the positions match with each other. The system can pair the object image with the identity data instantly, determine whether the object is unregistered, and effectively save the time and human resources required by artificially pairing the object images with the identity data.