Helmet Camera Stabilization for Wireless Video Streaming
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Solution Overview
Problem
Existing technologies face challenges in efficiently streaming and processing multiple video feeds over wireless communication networks, particularly in contexts with bandwidth limitations and communication errors, making real-time streaming of high-quality video feeds infeasible.
Innovation Solution
The implementation of instrumented helmets with cameras, control modules, and communication servers that enhance video data with angular velocity information, apply smoothing algorithms, and utilize error detection and correction mechanisms to manage bandwidth and processing limitations, allowing for efficient transmission and processing of multiple video streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple video feeds are streamed over wireless communication networks with bandwidth limitations, then real-time information availability is improved, but data transmission reliability deteriorates due to communication errors and bandwidth constraints
Solution Approach 1:
The patent segments video data into multiple packets and uses error detection/correction mechanisms to handle transmission errors. The system divides the video stream into manageable units that can be transmitted independently, allowing for better error recovery and retransmission of only affected segments rather than the entire stream.
Solution Approach 2:
The patent implements feedback mechanisms where the receiving device sends acknowledgment signals back to the transmitting device. This allows the system to detect transmission errors, request retransmission of lost or corrupted packets, and adjust transmission parameters dynamically to maintain reliability under bandwidth constraints.
2Manufacturing precision
If video data is processed and stabilized in real-time, then video quality is improved, but processing speed and system complexity increase
Solution Approach 1:
The patent applies preliminary stabilization processing at the source device before transmission. By pre-stabilizing the video feed using algorithms that compensate for camera movement and vibration, the system reduces the processing burden on receiving devices and minimizes latency while maintaining video quality.
Solution Approach 2:
The system applies selective stabilization processing based on the severity of camera movement and network conditions. Rather than applying full processing to all video streams continuously, the system adjusts processing intensity dynamically, applying stronger stabilization only when needed and reducing processing load during stable conditions.
3Quantity of substance
If bandwidth is optimized for multiple video streams, then number of streams is improved, but individual stream quality may deteriorate
Solution Approach 1:
The patent implements differential quality management where different video streams receive different levels of processing and bandwidth allocation based on their importance and network conditions. Critical streams receive higher quality treatment while less important streams receive reduced quality, allowing the system to maximize the number of functional streams rather than maintaining uniform high quality across all streams.
Data Source
AI summary
It is possible to capture video information using one or more body mounted cameras, to transmit that information over a wireless communication channel, and to process that information, such as by using angular momentum information captured by gyroscopes, to obtain an image which is suitable for viewing in real time. This technology can be applied in a variety of contexts, such as sporting events, and can also be applied to information which is captured and stored for later use, either in addition to, or as an alternative to, streaming that information for real time viewing.