Proximity-Based Media Sharing With Facial Recognition Triggers
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Solution Overview
Problem
Current methods for sharing media items, such as photos, are cumbersome and lack spontaneity, often requiring multiple steps and failing to ensure easy access for recipients, leading to missed opportunities for sharing and difficulty in finding shared content.
Innovation Solution
Dynamically sharing media items based on trigger conditions, such as proximity or special events, automatically identifies and shares media items with contacts using facial recognition and hash calculations, enabling simultaneous viewing and installation on devices without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current sharing methods (SMS, email, cloud services) are used to share photos, then photos can be transmitted to contacts, but the process becomes cumbersome and time-consuming requiring multiple manual steps
Solution Approach 1:
The system automatically identifies contacts within a photo using facial recognition, determines which contacts should receive the photo based on predefined relationships, and initiates sharing without requiring manual user intervention for each contact. The photo sharing system serves itself by autonomously completing the sharing process.
Solution Approach 2:
The system pre-configures sharing rules and contact relationships before photo sharing is needed. When a photo is taken, the system has already prepared the list of identifiable contacts and their sharing permissions, allowing immediate automated sharing without requiring users to manually select contacts or choose sharing methods at the moment of sharing.
2Reliability
If manual photo sharing is performed, then photos can be sent to specific contacts, but users often forget to send photos or fail to recall all contacts in the photo
Solution Approach 1:
The system provides immediate feedback by automatically identifying all contacts present in the photo through facial recognition and notifying them of the shared photo. This feedback mechanism ensures that no contact is overlooked and that sharing occurs immediately upon photo capture, eliminating delays and omissions associated with manual sharing.
Solution Approach 2:
The system replaces the mechanical manual process of selecting contacts and choosing sharing methods with an automated computer vision and artificial intelligence system. The facial recognition algorithm automatically detects all contacts in the photo, and the system autonomously manages the sharing process, eliminating human error and time delays.
3Ease of operation
If photos are shared through traditional media (SMS, email), then photos can be transmitted, but recipients have difficulty finding the photos in their message feeds
Solution Approach 1:
The system changes the visual presentation of shared photos by displaying them as full-screen immersive experiences rather than small thumbnails in message feeds. The photo takes up the entire display area, making it immediately noticeable and accessible to the recipient, eliminating the problem of lost photos buried in crowded message interfaces.
Solution Approach 2:
The system transitions the photo viewing experience from a two-dimensional small icon in a message list to a full-screen immersive display. This dimensional expansion makes the photo immediately prominent and easily accessible to recipients, solving the problem of difficulty in locating shared photos among numerous messages.
4Productivity
If shared groups like WhatsApp or Facebook albums are used, then photos can be shared with multiple people, but the process still requires creating groups, selecting pictures, and adding contacts manually
Solution Approach 1:
The system automatically identifies all contacts within the photo using facial recognition and autonomously determines which contacts should receive the photo based on their relationships to the photo taker. This self-service approach eliminates the need for users to manually create groups, select individual contacts, or manage sharing lists, significantly simplifying the process.
Solution Approach 2:
The system pre-establishes sharing rules and contact relationships before photo sharing occurs. When a photo is taken, the system has already prepared the automated sharing distribution list based on predefined criteria, allowing immediate sharing with all relevant contacts without requiring manual group creation or contact addition steps.
Data Source
AI summary
Systems and methods for dynamically sharing a media item based on satisfying a condition are disclosed. The methods provide the media item for selection based on selection of a contact or vice versa. The media item may be photo, video, audio, or another type of item in which the contact is included, e.g., the contact is in the photo selected. The methods determine the media item is relevant to the contact based on a facial recognition match. The shared media item, which may be a photo, automatically replaces, for example, a wallpaper or lock screen of the contact. The methods also disclose a shared camera that allows users in a proximity of a first user to opt into a shared group. Once they join/opt in, any photo taken or viewed by the first user is simultaneously displayed on the display of all members of the shared group.