Terminal Facial Recognition for Personalized Content Push
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Solution Overview
Problem
Conventional content recommendation methods on mobile terminals require a user trigger for facial attribute recognition, leading to unfriendly interaction and inefficient resource utilization.
Innovation Solution
A method and apparatus that utilize facial recognition for unlocking a terminal, where facial attribute analysis is triggered post-unlocking, allowing for real-time media resource push based on determined attributes like age, gender, or health status, using a set of cameras including RGB, depth, near infrared, hyperspectral, or thermal imaging cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If facial attribute recognition is triggered by user touch operation, then user attribute information can be recognized, but interaction is not friendly enough and requires additional user input
Solution Approach 1:
The system performs facial attribute recognition in advance during the unlocking process before the user needs to access content. The facial image is captured and attributes are analyzed automatically when the user approaches or enters their password, eliminating the need for separate touch operations to trigger attribute recognition.
Solution Approach 2:
The system automatically triggers facial attribute recognition without requiring explicit user commands. The unlocking process itself serves as the trigger mechanism, allowing the system to serve itself by automatically capturing facial images and analyzing attributes as part of the normal unlocking flow.
2Adaptability or versatility
If separate facial attribute recognition operation is added, then personalized content can be recommended, but terminal resource utilization is reduced and power consumption increases
Solution Approach 1:
The patent combines facial attribute recognition with the existing unlocking process into a single integrated operation. The same facial image capture and processing resources used for unlocking are reused for attribute analysis, merging two functions into one workflow rather than running them as separate operations.
Solution Approach 2:
The facial image processing system serves multiple purposes: it performs both identity verification for unlocking and attribute extraction for content recommendation. This multi-functional approach allows a single image capture and processing operation to fulfill multiple system needs without requiring additional dedicated resources.
3Measurement precision
If facial attribute analysis is performed separately, then accurate user attribute determination is achieved, but interaction requires additional triggers and reduces operational efficiency
Solution Approach 1:
Facial attribute analysis is performed preliminarily during the unlocking process rather than as a subsequent separate operation. The system captures the facial image and analyzes attributes in advance, so that when the user needs content recommendations, the attribute data is already ready, eliminating additional operational steps.
Data Source
AI summary
A content push method is provided. The method is applied to a terminal, which includes a first set of cameras. The method includes: when the terminal is in a screen-locked state and an off-screen is woken up, capturing a first set of face images of a user by using the first set of cameras; determining whether the first set of face images matches a registered user; if the first set of face images matches the registered user, performing, by the terminal, an unlocking operation, and determining a facial attribute of the user based on the first set of face images; determining a to-be-pushed media resource based on the facial attribute; and pushing the media resource in an interface displayed after the terminal is unlocked.