Voice Characteristic Matching for Ranked User Record Verification
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Solution Overview
Problem
Users of mobile computing devices often cannot utilize image recognition technologies in real-time to identify and retrieve information about individuals they encounter, such as names or contact details, leading to awkward social situations.
Innovation Solution
A system that captures image characteristics, such as facial data, to search and verify an individual's record on a contact directory, allowing addition to the user's address book after permission and ranking verification, with updates based on trust and usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image recognition technologies are implemented for identifying individuals, then the ability to retrieve information about individuals is improved, but the real-time usability and social appropriateness deteriorates due to requiring explicit user action
Solution Approach 1:
The system performs automatic identification and information retrieval without requiring explicit user commands. The mobile device autonomously captures images, processes them through recognition algorithms, and retrieves contact information from stored databases, eliminating the need for users to manually initiate the identification process.
Solution Approach 2:
Contact information and images are pre-stored in the mobile device's database before encounters occur. When an individual is encountered, the system immediately captures their image and matches it against pre-existing contact records, enabling real-time identification without requiring external data sources or manual lookups.
2Productivity
If automatic identification systems are deployed, then real-time information access is improved, but privacy concerns and security risks worsen
Solution Approach 1:
The system extracts and processes only minimal visual features from captured images for identification purposes, such as facial characteristics or distinguishing markers. This selective extraction minimizes data processing requirements and reduces the risk of privacy breaches by avoiding unnecessary analysis of personal information.
Solution Approach 2:
The mobile device serves as an intermediary between the user and the identification system. All image processing and contact matching occur locally within the device's secure environment, preventing direct transmission of personal data to external servers and reducing exposure to remote security threats.
3Ease of operation
If contact information is automatically retrieved and added to address book, then convenience is improved, but user control and permission management worsen
Solution Approach 1:
The system provides partial automation by offering to add contacts to the address book rather than forcing complete automatic integration. Users can accept or decline the addition of specific contacts, maintaining selective control over their address book while benefiting from automated identification and information retrieval.
Data Source
AI summary
Embodiments of methods, systems, and storage medium associated with providing user records associated with characteristics that may be used to identify the user are disclosed herein. In one instance, the method may include obtaining features of an individual, determining identifying characteristics associated with the obtained features, and initiating a search for a record associated with the individual based in part on the identifying characteristics associated with the obtained features, and, based on a result of the search, a verification of the record associated with the individual. The method may further include receiving at least a portion of the record associated with the individual, based at least in part on a result of the verification. The verification may be based in part on a ranking associated with the record. Other embodiments may be described and/or claimed.