Camera Device Dynamic Bitrate Adaptation for Network Stability
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Solution Overview
Problem
Current camera devices are unable to dynamically adapt their encoding bitrate based on changing network conditions, leading to issues such as high end-to-end latency, buffer overflow, and potential camera reboots, which affect the live-viewing experience and data preservation during poor connectivity.
Innovation Solution
Implement a method in camera devices to capture and encode video streams, transmit metrics such as transmission rate and buffer latency, and adjust the encoding bitrate accordingly to match available bandwidth, allowing for adaptive changes in frame rate and image resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the encoded bitrate is increased to improve event detection quality, then event detection capability is improved, but network data loss increases under poor connectivity conditions
Solution Approach 1:
The patent implements dynamic bitrate adaptation where the encoding bitrate is continuously adjusted based on real-time network conditions. The system monitors network bandwidth availability and dynamically changes the encoding bitrate to match current network capabilities, preventing data loss while maintaining optimal event detection quality when possible.
Solution Approach 2:
The system changes the encoding bitrate parameter in response to varying network conditions. By monitoring network metrics and adjusting the bitrate parameter dynamically, the system ensures reliable data transmission without permanently sacrificing event detection capability, allowing quality to be restored when network conditions improve.
2Reliability
If the encoded bitrate is decreased to ensure reliable transmission under poor network conditions, then network transmission reliability is improved, but event detection capability deteriorates
Solution Approach 1:
Rather than using a static low bitrate for all poor network conditions, the system dynamically adjusts the bitrate based on the specific network conditions and the importance of the video content. This allows the system to maintain higher bitrates for critical event detection when possible while ensuring reliable transmission for routine footage.
Solution Approach 2:
The system implements feedback mechanisms where transmission metrics are monitored and used to adjust encoding parameters. This feedback loop allows the system to learn from transmission outcomes and optimize the balance between bitrate and reliability, improving event detection capability over time while maintaining reliable transmission.
3Measurement precision
If a high encoding bitrate is used to maintain video quality, then event detection quality is improved, but end-to-end latency increases due to buffer accumulation
Solution Approach 1:
The system dynamically adjusts the encoding bitrate in real-time based on network buffer status and latency measurements. When latency begins to accumulate, the system reduces the bitrate to prevent further buffer accumulation, thus controlling end-to-end latency while maintaining acceptable event detection quality through adaptive adjustments rather than static high bitrate.
4Device complexity
If the camera operates at a fixed predefined bitrate regardless of network conditions, then device complexity is reduced, but buffer overflow and camera reboots occur under poor connectivity
Solution Approach 1:
The camera device implements self-service bitrate adaptation by autonomously monitoring its own buffer status and network conditions, then automatically adjusting its encoding bitrate without external intervention. This self-regulating mechanism prevents buffer overflow and camera reboots while maintaining relatively simple device architecture, as the adaptation logic is integrated into the existing encoding pipeline.
Data Source
AI summary
The various embodiments described herein include a method performed at a camera device. The method includes: encoding a first stream of images from the camera device with a first bitrate; transmitting the encoded first stream of images to a server system; determining, at the camera device, one or more transmission metrics for the transmitted first stream of images; based on the one or more transmission metrics, encoding a second stream of images from the camera device with a second bitrate distinct from the first bitrate; and transmitting the encoded second stream of images to the server system.