Screen Recording Privacy Blurring Without Manual Masking
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Solution Overview
Problem
Existing screen recording methods require manual user intervention to mask privacy information, leading to a cumbersome process that affects user experience and exposes privacy information during recording.
Innovation Solution
A screen recording method that integrates the function in the application layer, automatically identifies and blurs privacy areas in real-time during the recording process, using image processing and deep learning models to mask sensitive information without user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual user intervention is used to mask privacy information, then privacy protection is achieved, but the process becomes cumbersome and user experience deteriorates
Solution Approach 1:
The system performs automatic identification and masking of privacy information without requiring user intervention. The electronic device autonomously detects sensitive content in image frames and applies blurring effects, eliminating the need for manual user actions while maintaining privacy protection
Solution Approach 2:
The system identifies and masks privacy information in real-time during the screen recording process, before the recording is completed or shared. This preliminary automatic masking ensures privacy protection is already in place before any potential distribution occurs
2Reliability
If manual masking is required, then privacy information is protected, but the recording process efficiency decreases
Solution Approach 1:
The system automatically performs privacy information identification and masking without requiring manual user intervention at any stage of the recording process, thereby maintaining both privacy protection and recording efficiency
Solution Approach 2:
The automatic identification and masking operates continuously throughout the entire screen recording process, ensuring privacy protection is maintained without interruption while the recording proceeds efficiently without manual pauses or interventions
3Ease of operation
If automatic identification and blurring is implemented, then user experience is improved and privacy is protected, but device complexity increases
Solution Approach 1:
The patent employs a dedicated processing unit that serves as an intermediary component specifically designed to handle image frame analysis and privacy information masking. This specialized module manages the complexity internally while presenting a simple automatic masking interface to users
Solution Approach 2:
The system replaces manual mechanical user actions with automated computational processes using deep learning models and image processing algorithms. The processing unit automatically analyzes image frames and applies masking without requiring physical user interaction, substituting complex automated processing for simple user operations
Data Source
AI summary
A screen recording method includes: in response to a screen recording operation, obtaining a first image frame collected during a screen recording process; determining whether the first image frame contains target information; in response to the first image frame containing the target information, obtaining a second image frame by blurring the target information; and generating a screen recording media file based on the second image frame.