Volumetric Video Camera Failure Mitigation
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Solution Overview
Problem
Camera failures during volumetric video capture can result in incomplete or missing video content, which is costly and time-consuming to recapture, especially in live streaming scenarios.
Innovation Solution
A method that monitors the status of functionality (SoF) array data structures of cameras, detects failed cameras, and replaces them with backup cameras or repositions existing cameras to minimize content loss, using similarity matrices and machine learning for predictive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cameras are used for volumetric video capture, then the quality and completeness of video content is improved, but the probability of camera failure increases
Solution Approach 1:
The patent designates specific cameras as backup cameras before capture begins. When a camera failure is detected during volumetric video capture, the system automatically activates a pre-designated backup camera to replace the failed one, ensuring continuous capture without interruption or content loss.
Solution Approach 2:
The system creates functional copies through backup cameras that can substitute for failed cameras. Each backup camera is pre-assigned to replace a specific active camera, providing a ready-made replacement that maintains the volumetric capture capability without requiring manual intervention.
2Reliability
If backup cameras are designated for each active camera, then camera failure mitigation is improved, but system complexity increases
Solution Approach 1:
The camera array is segmented into distinct functional groups: active cameras and backup cameras. This segmentation allows the system to manage failures independently by activating only the necessary backup cameras, rather than requiring all cameras to be actively managed simultaneously.
Solution Approach 2:
Backup cameras serve multiple purposes: they remain in standby mode during normal operation and automatically activate when their designated camera fails. This multi-functionality allows the same hardware to serve both as a potential backup and as part of the overall capture system, reducing the need for entirely separate backup equipment.
3Loss of time
If real-time monitoring of camera status is implemented, then failure detection speed is improved, but processing overhead increases
Solution Approach 1:
The system implements continuous monitoring of camera status with immediate feedback to the control logic. When a camera failure is detected through status monitoring, the system instantly activates the corresponding backup camera, creating a rapid feedback loop that minimizes detection time and response delay.
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for mitigating a camera failure during volumetric capture is provided. The embodiment may include monitoring respective status of functionality (SoF) array data structures of a set of cameras tasked with capturing volumetric video of a scene. The set of cameras comprises cameras designated as backup cameras and cameras designated for active volumetric capture. The embodiment may include detecting a failed camera of the cameras designated for active volumetric capture based on evaluation of an SoF array data structure of the failed camera. In response to detecting the failed camera, the embodiment may include determining whether a backup camera of the cameras designated as backup cameras is available to replace the failed camera. In response to determining the backup camera is available, the embodiment may include replacing the failed camera with the backup camera.