Helmet Distributed Processing System Latency Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional helmet systems with a single CPU struggle to handle the increased processing demands and data intensity from multiple sophisticated sensors and transducers, leading to latency issues that affect video and audio refresh rates, disorienting and distracting the user.
Innovation Solution
A distributed processing system is introduced, featuring a helmet CPU and subsystem processors that process data from sensors and transducers, including a pass-through processing module and a data analysis module, to reduce CPU workload and enhance data processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single CPU is used to control all helmet subsystems, then device complexity is reduced, but processing speed and responsiveness deteriorate due to increased latency
Solution Approach 1:
The patent divides the single CPU system into multiple subsystem processors, each responsible for specific sensor and transducer functions. This segmentation allows parallel processing of different data streams (video, audio, sensor data) simultaneously, eliminating the bottleneck of a single CPU handling all tasks sequentially, thereby improving processing speed and reducing latency while maintaining manageable system complexity through modular architecture
2Measurement precision
If more sophisticated sensors and transducers are added to the helmet system, then measurement precision and data quality improve, but CPU processing burden increases causing latency
Solution Approach 1:
The patent extracts the processing burden from the central CPU by implementing dedicated subsystem processors for each sensor type and transducer. Each subsystem processor handles its own data locally, performing initial processing, filtering, and preparation before sending only essential information to the CPU. This extraction of processing tasks eliminates the cumulative latency that would result from the CPU processing all high-volume sensor data sequentially
3Loss of information
If the CPU processes all raw sensor data, then data analysis completeness is improved, but video and audio refresh rates suffer due to processing delays
Solution Approach 1:
The patent implements preliminary action by having subsystem processors perform initial data processing, filtering, and formatting before data reaches the CPU. Video and audio data undergo preprocessing in their respective subsystems, with essential information extracted and prepared in advance. This preliminary processing ensures that when data reaches the CPU, it is already organized and ready for final analysis, maintaining data completeness while enabling real-time refresh rates for video and audio outputs
Data Source
AI summary
A helmet system comprising a distributed processing system includes a central helmet CPU and multiple subsytem processors. The helmet CPU provides configuration settings to the subsystem processors and receives, from each of the multiple subsystem processors, data derived by the subsystem processor based on one or more sensors located in situ with the subsystem processor. The helmet CPU consolidates the derived data for determining one or more operating conditions of the helmet system and characteristics of an environment surrounding the helmet system.


