Facial Recognition Photo Sharing via Server Offloading
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Solution Overview
Problem
Current systems for sending digital images over networks lack efficient methods for automatically identifying and sharing photos based on facial recognition, particularly in scenarios where users may not have direct contact information for all individuals in the images.
Innovation Solution
The system employs facial recognition algorithms, such as eigenfaces, to identify individuals in images and correlate them with contact information, allowing for automatic sharing of photos via email, SMS, or social networks, even if the individuals do not have known contact details, by utilizing a client-server architecture and synchronization of facial recognition data across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If facial recognition algorithms are implemented to automatically identify individuals in images, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary component that hosts the facial recognition database and processing algorithms. The mobile device communicates with this server to perform facial recognition, thereby offloading the computational complexity from the client device while maintaining ease of operation for the user.
Solution Approach 2:
The system automatically performs facial recognition and photo sharing without requiring manual user intervention. The facial recognition algorithm automatically identifies individuals in photos, retrieves their contact information, and initiates sharing, making the system self-serving and easy to operate.
2Productivity
If automatic facial recognition and sharing is implemented, then the productivity is improved, but the loss of information increases due to potential privacy concerns
Solution Approach 1:
The system performs preliminary actions by automatically identifying faces and retrieving contact information before the user initiates sharing. This preliminary processing enables rapid photo sharing while maintaining productivity, as the groundwork is already prepared when the user wants to share.
Solution Approach 2:
The system provides feedback to users about which faces are recognized and what contact information is being used for sharing. This feedback mechanism allows users to review and control the information being shared, addressing privacy concerns while maintaining efficient automated operation.
Data Source
AI summary
Facial recognition algorithms may identify the faces of one or more people in a digital image. Multiple types of communication may be available for the different people in the digital image. A user interface may be presented indicating recognized faces along with the available forms of communication for the corresponding person. An indication of the total number of people available to be communicated with using each form of communication may be presented. The user may have the option to choose one or more forms of communication, causing the digital image to be sent to the recipients using the selected forms of communication. An individual may have provided information for facial recognition of the individual to a service. Based on the information, the service may recognize that the individual is in an uploaded picture and send the digital image to the user account of the individual.