SerDes Video Streaming for Multi-Camera Bandwidth Management
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Solution Overview
Problem
Existing systems face challenges in efficiently managing and streaming ultra-high-definition video data from multiple cameras to a single computing device, particularly in devices with limited computational resources and bandwidth constraints.
Innovation Solution
The implementation of a serializer/deserializer (SerDes) configuration allows for concurrent streaming of ultra-high-definition video data from multiple cameras to a single computing device, enabling efficient data management and switching between video streams based on relevance, thereby optimizing bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple ultra-high-definition cameras are connected to a single computing device, then the video data coverage and monitoring capability are improved, but the computing resources and bandwidth are exceeded
Solution Approach 1:
The patent segments the video data processing by dividing multiple camera streams into separate data channels, each processed independently through dedicated serializers. This allows the system to handle multiple ultra-high-definition camera inputs without overwhelming the central computing device, as each stream is pre-processed and packaged separately before being delivered to the computing device.
Solution Approach 2:
The patent introduces serializers as intermediary devices between the cameras and the computing device. These serializers act as mediators that convert parallel camera data into serial streams, manage data packaging, and control bandwidth usage. This intermediary layer protects the computing device from being overwhelmed by raw multiple camera inputs while maintaining full video coverage capability.
2Measurement precision
If the bitrate of encoded video sequences is increased for ultra-ultra-high-definition cameras, then the transmission quality is improved, but the bandwidth requirement exceeds network capabilities
Solution Approach 1:
The patent implements periodic action through frame interleaving, where frames from multiple camera streams are alternately packaged and transmitted in a regular sequence. This periodic packaging approach allows efficient utilization of available bandwidth by distributing high-definition data across time intervals, maintaining transmission quality while adhering to network bandwidth constraints.
Solution Approach 2:
The system dynamically adjusts data packaging based on bandwidth availability and camera priorities. The serializers can dynamically interleave frames from different camera streams, adjusting the frequency and timing of data transmission to match network conditions while preserving ultra-high-definition quality where possible.
3Speed
If parallel bus configuration is used for camera data transmission, then the data transmission speed is improved, but the wiring complexity and signal degradation over distance increase
Solution Approach 1:
The patent replaces the mechanical parallel bus wiring system with an electrical serial communication system using SerDes technology. This substitution converts complex multi-conductor parallel connections into simpler serial point-to-point links, reducing wiring complexity while maintaining high data transmission speeds through advanced electrical signaling protocols.
Solution Approach 2:
The patent transforms the data transmission from a spatial parallel architecture (multiple simultaneous signal paths) to a temporal serial architecture (sequential signal transmission). This dimensional change from space to time allows high-speed data transmission over longer distances using simpler wiring, as serial communication is less susceptible to signal degradation and crosstalk.
4Adaptability or versatility
If more computing devices are integrated with sensors including cameras, then the sensing capability is improved, but the on-board computing resources are consumed or exceeded
Solution Approach 1:
The patent segments the computing workload by placing serialization functionality in dedicated hardware modules rather than relying on general-purpose computing resources. This segmentation allows the system to integrate multiple sensors and cameras without proportionally increasing the burden on the main computing device, as the data preparation work is distributed to specialized serializers.
Solution Approach 2:
The serializers operate autonomously to pre-process and package camera data before it reaches the computing device. This self-service approach allows the sensing system to manage its own data flow and bandwidth requirements without consuming excessive computing resources, enabling the integration of multiple high-resolution cameras while maintaining efficient resource utilization.
Data Source
AI summary
Described herein are systems and techniques for concurrently transmitting ultra-high-definition video data from multiple ultra-high-definition cameras to a single computing device without exceeding the bandwidth of the communication protocols on board the device. The systems use a serializer and deserializer configuration to serialize the multiple ultra-high-definition video streams and concurrently stream them to a deserializer located at the computing device, where a dual or quad deserializer is used to return the video data to a parallel format, the video data useful for making one or more determinations about an environment around the system.