Photo Face Recognition Dialing Method
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Solution Overview
Problem
Current mobile communication devices require users to sequentially search directories to dial phone numbers, which is time-consuming and labor-intensive, especially when trying to contact individuals in photos, as users must remember names or navigate through extensive contact lists.
Innovation Solution
A method that detects human faces in photos, analyzes their features to generate characteristic vectors, and searches directories for matching contacts, allowing direct dialing of phone numbers without leaving the browsing interface, with the option to add new contacts if no match is found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users sequentially search directories to dial phone numbers, then all contacts can be accessed, but the process is time-consuming and labor-intensive
Solution Approach 1:
The system performs preliminary actions by detecting and analyzing human faces in photos before the user needs to dial. Face features are extracted and stored in advance, so when a user views a photo, the system has already prepared the face data for quick matching against the directory, eliminating the need for sequential directory searching.
Solution Approach 2:
Human face features serve as an intermediary between the photo and the contact directory. Instead of directly searching the directory or requiring the user to remember names, the system uses face characteristics (eyes, nose, mouth, facial hair, etc.) as a mediator to automatically identify and match contacts, significantly reducing search time.
2Loss of information
If users view photos to recall contact names, then visual memory can be utilized, but sequential directory searching is still required
Solution Approach 1:
The system merges the photo viewing function with the contact dialing function. By integrating face detection and directory searching into a single automated process, users can directly dial contacts from photo browsing without needing to separately search the directory, combining two previously separate operations into one seamless action.
Solution Approach 2:
The system performs self-service by automatically detecting faces in photos, extracting face features, and matching them with contacts in the directory without requiring user intervention. The system autonomously completes the entire process from face detection to contact identification, freeing the user from manual directory searching.
3Measurement precision
If face detection is performed on entire picture, then all human faces are identified, but identification time increases
Solution Approach 1:
The picture is segmented into multiple regions or zones for face detection. Instead of analyzing the entire picture uniformly, the system divides it into smaller segments and processes each segment independently, reducing the overall detection time while still identifying all faces across the complete image through systematic coverage of all segments.
Data Source
AI summary
A phone dialing method is carried out on a communication device when browsing photos so as to make a phone call. First, a browser is activated to load a picture. Face features of all the existing human faces are detected. The face features of all contacts in a directory are compared to find out the contact matching the characters of human face. Then, the phone number of the contact is dialed. Further, after the picture is loaded, a user may set an identification area to narrow down the scope of identifying human faces. After that, the characters of human face of the selected human face are analyzed, and a search is made in the directory to find the contact matching the characters of human face. Finally, call contact by the number of directory.