Live Camera Feed Mitigation for Real-Time Visual Trigger Control
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Solution Overview
Problem
Certain visual triggers, such as flashing lights or specific patterns, can cause visually taxing experiences, especially in confined environments, and existing technologies do not effectively mitigate these triggers in real-time image processing.
Innovation Solution
The system detects visual triggers in raw image data and applies modifications, such as brightness adjustments or occluding effects, to the image data before display to mitigate the visual triggers, ensuring the user does not experience the triggering condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If real-time detection and modification of visual triggers is implemented, then user comfort is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary detection of visual triggers in the raw image data stream before the image is fully rendered or displayed. By identifying triggering conditions early in the processing pipeline, the system can apply modifications only to affected regions or frames, reducing overall processing time while still providing real-time mitigation.
Solution Approach 2:
Instead of processing or modifying entire images uniformly, the system applies visual trigger mitigation selectively to specific regions or pixels that contain triggering patterns. This localized approach reduces computational overhead while maintaining effectiveness in reducing visual trigger impact on users.
2Object-affected harmful factors
If visual triggers are detected and modified in real-time, then user experience is improved, but system complexity increases
Solution Approach 1:
The system integrates multiple functions into a unified image processing pipeline: visual trigger detection, pattern recognition, and image modification are combined in a single processing flow. This multi-functional approach reduces overall system complexity compared to having separate independent systems for each function.
Solution Approach 2:
The system introduces an intermediary processing layer between image capture and display that handles visual trigger detection and modification. This intermediary module acts as a mediator that translates raw image data into mitigated output without requiring complete system redesign, thereby managing complexity effectively.
3Object-affected harmful factors
If brightness adjustments or occluding effects are applied to mitigate visual triggers, then visual comfort is improved, but image quality and information retention may deteriorate
Solution Approach 1:
The system applies mitigation effects such as brightness adjustment or occlusion only to specific regions containing visual triggers rather than to the entire image. This preserves the quality and information content of non-triggering portions of the image while still providing protection against triggering patterns.
Solution Approach 2:
The system converts potentially harmful visual trigger patterns into less harmful or benign patterns through controlled modification. By transforming triggering patterns into non-triggering patterns while preserving overall image structure and content, the system maintains image information while eliminating harmful effects.
Data Source
AI summary
Mitigating triggering display conditions includes obtaining an image frame, comprising image data captured by a camera, determining, from the image data, an image statistic for at least a portion of the image frame. The technique also includes determining that the image statistic satisfies a trigger criterion, where the trigger criterion is associated with at least one predetermined display condition and, in response, modifying an image parameter for the at least a portion of the image frame. The technique also includes rendering the image frame, in accordance with the modified image parameter, where the predetermined display condition is avoided in the rendered image frame, in accordance with the rendering, and displaying the rendered image frame.