Master-Slave Video Playback for Pipeline Integrity Monitoring
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Solution Overview
Problem
Current methods for monitoring oil and gas pipeline integrity require manual comparison of georeferenced videos taken at different times, which is inefficient due to variations in aircraft flight paths and speeds, leading to challenges in detecting changes over time, such as encroaching threats, vegetation patterns, and soil erosion.
Innovation Solution
A master-slave video playback interface system that maintains geographical correlation between multiple geo-tagged videos, allowing simultaneous display and comparison of videos taken at different times, with the slave player correlating frames based on adjusted longitude and latitude data to match the master player's frame, enabling efficient change detection and threat analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual comparison of georeferenced videos is performed, then analysis of pipeline integrity threats is possible, but the process is inefficient and time-consuming due to variations in aircraft flight paths and speeds
Solution Approach 1:
The patent introduces an intermediary software system that automatically aligns and compares geo-tagged videos from different flight times. The system acts as a mediator between the raw video data and the analyst, handling the complex task of geospatial alignment and change detection automatically, thereby eliminating manual frame-by-frame comparison and significantly reducing analysis time.
Solution Approach 2:
The patent replaces the mechanical manual comparison process with an automated computer-based system. Instead of manually reviewing and comparing video frames across different times, the system uses computational algorithms to automatically align videos based on geographic coordinates and detect changes, substituting human labor with automated mechanical processing.
2Measurement precision
If videos are georeferenced with GPS and IMU data, then spatial location accuracy is improved, but the complexity of synchronizing and comparing videos from different flight times increases
Solution Approach 1:
The patent segments the video comparison task into manageable components: (1) extracting geospatial metadata (GPS coordinates, IMU orientation data) from each video frame, (2) aligning videos based on geographic location and temporal information, (3) synchronizing frames across different videos, and (4) detecting changes. This segmentation allows each complex sub-task to be handled independently by specialized algorithms.
Solution Approach 2:
The patent transforms the comparison problem by changing the parameter domain from temporal synchronization (based on time codes) to spatial synchronization (based on GPS coordinates and IMU orientation). This parameter transformation allows videos from different flight times to be aligned accurately based on their geographic overlap, resolving the synchronization complexity.
3Extent of automation
If automatic change detection algorithms are applied, then monitoring efficiency is improved, but the need for accurate georeferencing and frame correlation between videos becomes more critical
Solution Approach 1:
The patent performs preliminary actions to ensure data quality before automated comparison: (1) validating and correcting GPS coordinates, (2) processing IMU data to account for aircraft orientation, (3) pre-aligning video frames based on geospatial metadata, and (4) establishing accurate temporal and spatial correspondence between frames from different videos. These preliminary actions ensure that subsequent automated change detection operates on precisely aligned data.
Data Source
AI summary
A master-slave video playback interface in which a master video player is time based, and a slave video player displays a second video georeferenced to the first, e.g., the georeferenced frames of the second video in closest proximity to those being shown on the master player. The invention allows more efficient simultaneous viewing of multiple geo-tagged videos acquired at a singular geographical location, to compare videos, for example, collected on an oil or gas pipeline Right Of Way (ROW) at different times to monitor encroaching threats to pipeline integrity.