Dynamic Lighting Control for Bandwidth Optimization
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Solution Overview
Problem
Current image capture devices face challenges in managing bandwidth consumption and processing efficiency due to adverse lighting conditions in user environments, leading to degraded video conferencing and gaming experiences.
Innovation Solution
A system that uses an image capture device coupled with a display device to dynamically control lighting conditions through an inner and outer frame area, adjusting illumination intensity and color to optimize image capture and reduce bandwidth consumption by measuring bandwidth usage and adjusting lighting accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image capture device operates in adverse lighting conditions, then image processing can be performed, but computing time and processing resources increase significantly
Solution Approach 1:
The system performs preliminary lighting assessment by analyzing the captured image data to determine lighting conditions before full processing begins. Based on this assessment, the system pre-adjusts processing parameters and computational algorithms to optimize performance for the specific lighting conditions, thereby reducing overall computing time while maintaining reliable image capture.
2Productivity
If lighting conditions are not optimized, then image capture can proceed, but bandwidth consumption increases due to excessive color saturation
Solution Approach 1:
The system dynamically adjusts image processing parameters based on detected lighting conditions. When adverse lighting conditions are detected, the system modifies parameters such as color saturation levels, contrast ratios, and dynamic range settings to optimize the balance between image quality and bandwidth consumption, preventing excessive data transmission while maintaining acceptable visual quality.
3Reliability
If full-motion video is transmitted for real-time chat sessions, then communication quality improves, but bandwidth consumption becomes overwhelming
Solution Approach 1:
The system applies selective processing and transmission strategies by focusing computational resources on the most critical aspects of the video feed. Instead of uniformly processing the entire frame at maximum quality, the system prioritizes processing of regions and features most important for communication quality, transmitting only the essential visual information required for effective chat sessions, thereby reducing overall bandwidth consumption.
Data Source
AI summary
A system and method for controlling lighting conditions in a user environment whereby bandwidth consumption may be managed is disclosed. An inner frame area and an outer frame area adjust certain lighting conditions in the user environment in response to certain lighting conditions detected by the image capture device as those conditions affect bandwidth consumption during transmission of the image capture data. The frame areas may be dynamically controlled as to affect the brightness and/or color of the particular user environment.