Image Recognition Contact Retrieval System
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Solution Overview
Problem
Existing methods for exchanging contact information, such as mobile device bumping, are limited by requiring both devices to run the same application and involve physical contact, making them inefficient and prone to user error.
Innovation Solution
A system and method using image recognition that allows users to capture and transmit images for facial recognition, where the image recognition module identifies users and retrieves contact information based on permission rules and social network relationships, updating the address book with the retrieved information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile device bumping is used to exchange contact information, then contact information can be exchanged between devices, but both devices must run the same application and require physical contact
Solution Approach 1:
The patent introduces an image recognition module as an intermediary that processes images containing contact information. Instead of requiring direct device-to-device communication through bumping, the system captures an image of the contact information (such as a business card or displayed contact details), extracts the data through image recognition, and retrieves additional information from a social network. This intermediary approach eliminates the need for both devices to run the same application or make physical contact.
2Productivity
If mobile device bumping is used to exchange contact information, then contact information can be transferred, but the process is time consuming and prone to user error
Solution Approach 1:
The patent replaces the mechanical manual typing process with automated image recognition and data extraction. Instead of manually typing contact information into the device, the system captures an image of the contact information, uses optical character recognition to extract the data automatically, and populates the contact database. This substitution of mechanical typing with automated recognition significantly reduces the time required and eliminates user errors associated with manual entry.
3Extent of automation
If image recognition is used to identify users, then contact information can be retrieved automatically, but permission rules and social network relationships must be verified
Solution Approach 1:
The patent implements a self-service permission verification system that automatically checks social network relationships and permission rules without requiring manual user intervention. When an image is captured and a user is identified through facial recognition or other image analysis methods, the system automatically queries the social network to verify the relationship between the captured user and the device user, checks permission rules associated with that relationship, and retrieves contact information only if permissions are satisfied. This automated self-service approach maintains high security while preserving ease of use.
Data Source
AI summary
A system and method for retrieving contact information based on image recognition searches is disclosed. A requestor takes a picture of a user or retrieves a storage image of a user and transmits the image to an image recognition module. The image recognition module identifies the user and determines whether the requestor can receive access to the user's contact information based on permission rules. For example, the permission rule includes a requirement that the user and the requestor be sufficiently related on a social graph generated by a social network application. The permission rules can also include a requirement that the requestor have a predetermined proximity to the image. Once the permission rules are satisfied, the image recognition module transmits the user's contact information to the requestor.


