Captured Image Tagging via Wireless Profiles for Visual Effects
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Solution Overview
Problem
Electronic devices struggle to apply different visual effects to different individuals in a captured image due to complex setup processes and face recognition accuracy issues, often requiring manual deletion of unwanted subjects.
Innovation Solution
An electronic device uses a communication module to detect nearby wireless communication devices, retrieve ID codes and user profiles, and apply personalized visual effects based on these profiles to identified individuals in the image, while masking unwanted subjects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If face recognition is used to classify people or tag each person in a captured image, then identification can be achieved, but classification accuracy varies depending on the performance of the face recognition system
Solution Approach 1:
The patent introduces wireless communication devices as an intermediary identification method. Instead of relying solely on face recognition, the system uses detected wireless communication devices (with their location and ID information) as a mediator to identify and tag persons in the image, thereby improving overall identification accuracy and reliability
Solution Approach 2:
The system combines multiple identification methods (face recognition and wireless device detection) into a universal identification system. The processor can select from multiple data sources (image data, location data, ID code) to identify persons, making the system more robust and reliable across different scenarios
2Adaptability or versatility
If different visual effects are applied to different persons in a captured image, then customization is improved, but the setup process becomes complicated
Solution Approach 1:
The system enables self-service customization by automatically detecting wireless communication devices, retrieving their stored visual effect preferences, and applying the appropriate effects without requiring manual setup. The wireless communication devices themselves store and provide the customization parameters, eliminating the need for complex configuration
Solution Approach 2:
Visual effect preferences are pre-configured and stored in the wireless communication devices before the imaging process. When a person is identified through device detection, the system retrieves and applies their pre-selected visual effects, eliminating the need for real-time setup or complex configuration during the imaging process
3Ease of operation
If manual deletion is used to remove unwanted people from captured images, then unwanted subjects can be removed, but the process is inconvenient
Solution Approach 1:
The system uses wireless communication device detection as an intermediary mechanism to automatically identify and mask unwanted persons. By detecting which wireless devices are in the scene and comparing them with the detected persons, the system can automatically determine which persons to mask, eliminating manual deletion operations
Solution Approach 2:
The system uses feedback from wireless communication device detection to automatically control the masking process. The detected device information provides feedback about which persons are wanted versus unwanted, allowing the processor to automatically adjust the masking applied to different persons in the image
Data Source
AI summary
An electronic device includes a camera module, a communication module which detects one or more wireless communication devices located in a predetermined distance from the electronic device, and receives, from the one or more detected wireless communication devices, an identification code set in each of the one or more detected wireless communication devices, and a processor which receives a user profile from a corresponding wireless communication device of the one or more detected wireless communication devices in response to an identification code of the corresponding wireless communication device, which is retrieved from a pre-stored tag database, and applies a visual effect to an image captured by the camera module based on the received user profile.