Remote Support Video Switching for Infrastructure Camera Abnormalities
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Solution Overview
Problem
Existing remote support systems for moving bodies, which utilize infrastructure cameras, face challenges in maintaining accuracy when abnormalities occur in the video feed, leading to insufficient improvement in remote support accuracy.
Innovation Solution
A remote support system that includes processing circuitry to acquire and present videos from infrastructure cameras, with the capability to execute abnormality handling processes. These processes involve determining the cause of abnormalities and either resolving them or presenting substitute videos to ensure continuous and accurate remote support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an infrastructure camera is used to shoot video of the moving body and surroundings, then the accuracy of remote support is improved, but when an abnormality occurs in the video, the accuracy cannot be sufficiently maintained
Solution Approach 1:
The system performs preliminary actions by acquiring videos from multiple infrastructure cameras before abnormalities occur. The management device stores multiple video sources in advance, enabling immediate substitution when an abnormality is detected, thus maintaining remote support accuracy without interruption.
Solution Approach 2:
The management device acts as an intermediary between infrastructure cameras and remote supporters. It monitors video quality, detects abnormalities, and mediates the video feed by substituting abnormal videos with normal ones from other cameras, ensuring continuous reliable video delivery to remote supporters.
2Reliability
If multiple infrastructure cameras are used to provide substitute videos, then video reliability is improved, but the system complexity increases
Solution Approach 1:
The management device performs multiple functions: it acquires videos from multiple cameras, monitors video quality, detects abnormalities, selects substitute videos, and delivers them to remote supporters. This multi-functional design consolidates complexity into a single management device rather than requiring complex coordination between multiple independent systems.
Solution Approach 2:
The system implements self-service through automatic abnormality detection and automatic video substitution. When an abnormality is detected in a video feed, the management device automatically selects and switches to a normal video from another camera without requiring manual intervention, thereby managing system complexity through automation.
3Reliability
If automatic abnormality detection and handling is implemented, then video feed reliability is maintained, but the processing complexity increases
Solution Approach 1:
The management device implements feedback mechanisms by continuously monitoring video quality from infrastructure cameras. When abnormalities are detected through image recognition or quality metrics, the system provides feedback by automatically triggering video substitution, thus maintaining reliability through closed-loop control without requiring complex manual processing.
Data Source
AI summary
A remote support system performs a remote support of a moving body. The remote support system includes processing circuitry. The processing circuitry is configured to acquire, via communication, a first video shot with a first infrastructure camera installed in a target area in which the moving body moves. The processing circuitry is configured to present the first video to a remote supporter to perform the remote support for the moving body. When an abnormality occurs in the first video, the processing circuitry is configured to execute an abnormality handling process to resolve the abnormality in the first video or to present a substitute video to the remote supporter instead of the first video.