Smartphone Video Overlay for Vehicle Data Synchronization
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Solution Overview
Problem
Vehicle owners face challenges in correlating video recordings with vehicle performance data, such as speed and engine metrics, as they require separate data sets and manual review to analyze driving skills, which is inefficient and lacks real-time synchronization.
Innovation Solution
A smartphone processor receives both video feeds and vehicle data, converting the data into images and overlaying them in real-time, allowing for synchronized playback with timestamp-based synchronization for improved analysis and review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video feeds and vehicle data are recorded separately, then data integrity is maintained, but correlation and analysis efficiency deteriorate
Solution Approach 1:
The patent combines separate video feed recording and vehicle data recording into a unified recording system. The processor receives both video feeds from cameras and vehicle data from the vehicle system, then merges them into a single synchronized data stream with unified timestamping, eliminating the need for separate recording processes while maintaining data integrity through consistent timestamp assignment.
Solution Approach 2:
The patent introduces a monotonic timer as an intermediary component that provides a common time reference for both video feeds and vehicle data. This mediator ensures that all data streams are synchronized to the same time base, enabling accurate correlation without compromising the integrity of individual data sources.
2Measurement precision
If manual review of separate data sets is performed, then detailed analysis is possible, but time consumption increases
Solution Approach 1:
The patent performs preliminary synchronization and correlation of video and vehicle data during the recording phase itself. By embedding vehicle data as overlays on video frames at the time of recording and assigning unified monotonic timestamps, the system prepares the data for immediate analysis without requiring time-consuming manual alignment later.
Solution Approach 2:
The patent creates a synchronized copy of vehicle data in the form of visual overlays that can be directly viewed alongside the video feed. This copied representation of vehicle metrics (speed, acceleration, engine RPM) as visual elements allows users to perform detailed analysis by simply watching the combined video without needing to cross-reference separate data sets.
3Measurement precision
If real-time data processing is implemented, then synchronization accuracy improves, but computational load increases
Solution Approach 1:
The patent extracts only the essential synchronization information (monotonic timestamps) from the data streams and uses this extracted time reference to synchronize video and vehicle data. By focusing computational effort on timestamp correlation rather than full-frame processing, the system achieves accurate synchronization with reduced computational load.
Solution Approach 2:
The monotonic timer serves multiple functions simultaneously: it provides time stamps for video frames, time stamps for vehicle data points, and a reference for synchronization during playback. This multi-functional component enables real-time synchronization accuracy without requiring separate complex timing systems for each data stream.
Data Source
AI summary
A system includes a smart-phone processor configured to receive a video recording feed from a camera. The processor is also configured to receive a vehicle data feed from a vehicle connected to the processor. The processor is further configured to convert the vehicle data feed into images. The processor is additionally configured to add the images to the video recording feed in real-time and save a combined feed including the video and images resulting from the adding.