Image-Based Recipient Identification for Mobile Messaging
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Solution Overview
Problem
Starting an electronic communication, such as sending a message with a group selfie, requires multiple operations including manually selecting recipients and including images, increasing time and complexity.
Innovation Solution
A system that identifies users in a captured image by comparing user profile images with the image and determines electronic destinations for communication, filtering candidates by location to speed up the process, and automatically generates and sends messages with the image included.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual operations are used to specify recipients and include images in electronic communication, then accuracy of recipient selection and image inclusion is ensured, but the time and complexity of sending communication increases
Solution Approach 1:
The system performs automatic recipient identification and image selection without requiring manual user input. The camera captures images, the system identifies recipients from the images, and automatically composes and sends the communication, allowing the system to serve itself rather than requiring continuous user intervention
Solution Approach 2:
The system pre-identifies potential recipients by analyzing captured images before the communication is actually sent. By performing recipient identification in advance based on image analysis, the system prepares the communication draft with suggested recipients, reducing the time required at the moment of sending
2Reliability
If multiple operations are required to start electronic communication, then precision in specifying recipients and including correct images is achieved, but device complexity increases
Solution Approach 1:
The system replaces manual mechanical operations (typing recipient names, manually selecting images from gallery) with automated image recognition and analysis technology. Computer vision algorithms analyze captured images to automatically identify recipients, substituting complex manual processes with automated computational methods that maintain accuracy while simplifying user interaction
3Ease of operation
If automatic recipient identification is implemented, then ease of operation improves, but measurement precision of recipient identification may decrease
Solution Approach 1:
The system presents automatically identified recipients to the user for confirmation or correction. This feedback loop allows the automated identification to suggest recipients while giving the user final control to verify accuracy, combining the speed of automation with the precision of human judgment
Solution Approach 2:
The system pre-identifies recipients from captured images and presents them as suggestions before the communication is sent. By performing identification in advance and allowing user review, the system maintains ease of operation while providing an opportunity to correct any identification errors before final transmission
Data Source
AI summary
Techniques for starting an electronic communication based on a captured image are disclosed herein. In some embodiments, a computer system detects that an image has been captured by a camera on a first mobile device of a first user, where the captured image has been captured by the camera at a point in time, and, in response to detecting that the image has been captured, the computer system identifies at least one other user in the captured image. In some example embodiments, the computer system transmits a message to an electronic destination associated with the other user(s) based on the identifying of the other user(s) in the captured image.