Mobile User Recognition via Stereo Vision and ID Comparison
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Solution Overview
Problem
Conventional localization and recognition systems require additional auxiliary devices, such as RFID systems, which increase complexity and cost, and are prone to errors due to environmental factors like lighting and image quality.
Innovation Solution
A method and device using an imaging device to obtain positional and ID information from mobile devices, comparing these to associate ID information with users, eliminating the need for additional auxiliary devices and improving recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RFID system is added for recognition, then recognition accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the recognition function from the complex RFID system and implements it using only the imaging device's existing capabilities. By taking out the auxiliary RFID system and using solely visual recognition with image processing algorithms, the solution maintains recognition accuracy while eliminating the need for additional wireless electronic systems, thereby reducing device complexity and cost.
Solution Approach 2:
The imaging device is made multi-functional by enabling it to perform both localization and recognition tasks using its existing camera and image processing capabilities. Instead of adding a separate RFID system for recognition, the patent makes the imaging device universal by allowing it to handle both positioning and identity identification through visual features, reducing overall system complexity.
2Measurement precision
If more RFID tags are deployed for accurate localization, then localization accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent removes the dependency on multiple RFID tags for localization and extracts the localization function to be performed solely by the imaging device using stereo vision technology. By taking out the RFID tag infrastructure and using visual depth information from stereo cameras, the system achieves accurate localization without deploying numerous electronic tags, thereby reducing system complexity.
3Device complexity
If visual recognition features are used, then no additional device is needed, but recognition accuracy is influenced by environmental factors
Solution Approach 1:
The patent applies preliminary action by pre-processing images to normalize lighting conditions and enhance visual features before recognition. By performing preliminary image processing steps such as histogram equalization, contrast enhancement, and feature normalization, the system compensates for environmental factors like varying lighting, thereby maintaining high recognition accuracy using only the imaging device without additional auxiliary systems.
4Measurement precision
If higher recognition accuracy is achieved, then recognition precision is improved, but processing workload increases
Solution Approach 1:
The patent applies segmentation by dividing the recognition process into distinct stages: image acquisition, feature extraction, feature matching, and identity determination. By segmenting the processing workflow and using hierarchical feature extraction (from coarse to fine details), the system achieves high recognition accuracy while managing computational load efficiently at each stage, preventing overwhelming processing requirements.
Data Source
AI summary
Disclosed is a method of recognizing a user of at least one mobile device by using an imaging device. The method comprises a first obtainment step of obtaining first positional information of the user of the at least one mobile device by using the imaging device; a second obtainment step of obtaining both second positional information and ID information of the at least one mobile device; a comparison step of comparing the first and second positional information so as to obtain a comparison result; and a determination step of determining, based on the comparison result, whether or not to let the ID information of the at least one mobile device be associated with the user of the at least one mobile device.