Facial Recognition Group Calls Beyond Local Contacts
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Solution Overview
Problem
Existing electronic devices face challenges in facilitating group calls with individuals whose contact information is not stored locally, requiring inefficient manual selection and retrieval processes.
Innovation Solution
An electronic device uses facial recognition to identify individuals in an image, retrieves contact information from a cloud database, and initiates group calls by comparing facial features with cloud contact lists to identify and invite participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual selection and retrieval of contact information is used, then the device can initiate group calls, but the process becomes inefficient and time-consuming
Solution Approach 1:
The patent replaces manual mechanical operations (manual selection and retrieval of contact information) with automated optical recognition (facial recognition technology). The system captures images, extracts facial features, and automatically matches them with contact information in the cloud database, eliminating the need for manual contact searching and significantly reducing the time required to initiate group calls.
2Productivity
If cloud contact database is used to store contact information, then contact retrieval becomes faster, but the device complexity increases
Solution Approach 1:
The patent moves contact information storage from the local device dimension to the cloud dimension. By storing contact information in a cloud database and accessing it remotely, the system achieves fast retrieval without burdening the local device with complex storage and management infrastructure. This dimensional shift resolves the contradiction between retrieval speed and device complexity.
3Extent of automation
If facial recognition is implemented for participant identification, then automated group call initiation is enabled, but the measurement and detection difficulty increases
Solution Approach 1:
The patent introduces facial feature extraction algorithms as an intermediary between image capture and contact matching. These algorithms process raw image data, extract distinctive facial characteristics, and transform them into comparable identifiers. This intermediary layer simplifies the overall detection process by breaking down the complex task of facial recognition into manageable steps: feature extraction, comparison, and matching.
Data Source
AI summary
A first electronic device and a method for providing a group call service are provided. The method includes receiving a user input for a group call between multiple people included in a designated image, acquiring facial features of the multiple people, acquiring, based on the facial features, first contact information of a first person from a first local contact list stored in the first electronic device, transmitting the first contact information of the first person and a facial feature of a second person to a server, receiving an identification value of the first person holding second contact information of the second person from the server, initiating, based on the first contact information, the group call of the first person with respect to a second electronic device, and transmitting a request for participation of a third electronic device in the group call to the second electronic device.