Image Processing System Delay Detection Without Camera Timestamps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing systems lack versatility and reliability when processing image frames from cameras without timestamp functions, as they cannot accurately recognize delays in image data transmission over networks, leading to potential system unreliability.
Innovation Solution
An image processing system that identifies delayed frames by determining frame intervals outside a predetermined acceptable range and adds delay information to these frames, allowing the system to recognize delay status regardless of camera specifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system processes image frames from cameras without timestamp functions, then the system compatibility is improved, but the ability to accurately recognize delays in image data transmission deteriorates
Solution Approach 1:
The system performs preliminary actions by calculating expected frame intervals based on camera specifications before processing incoming image frames. This allows the system to proactively identify delays by comparing actual arrival times against pre-calculated expectations, enabling accurate delay detection without requiring timestamp hardware in the camera.
Solution Approach 2:
The patent introduces an intermediary mechanism - a delay information addition unit - that acts as a mediator between the frame interval analysis and the image processing pipeline. This intermediary component adds delay metadata to frames without requiring modification of the camera hardware, thus maintaining compatibility while enabling precise delay recognition.
2Reliability
If the system adds delay information to delayed frames, then the reliability of image data processing is improved, but the system complexity increases
Solution Approach 1:
The system extracts only the necessary delay information from frame interval analysis and adds minimal metadata to affected frames. By taking out only the essential delay characterization rather than implementing complex timestamp verification, the system achieves improved reliability while minimizing the increase in system complexity.
Solution Approach 2:
The patent applies local quality by adding delay information selectively only to frames that are actually delayed, rather than processing all frames uniformly. This localized approach improves reliability for problematic frames while avoiding unnecessary complexity in the overall system architecture.
3Measurement precision
If the system sequentially processes and analyzes frame intervals, then the delay detection accuracy is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary calculations of expected frame intervals based on camera specifications before actual frame processing begins. This preliminary action enables the system to quickly compare actual arrivals against pre-computed expectations, maintaining high delay detection accuracy while minimizing processing time during live operation.
Data Source
AI summary
An image processing system is configured to process image frames received from a camera through a network. The image processing system includes a processor. The processor is configured to cause the image processing system to: sequentially obtain the image frames; identify a delayed frame among the image frames that has a delayed frame interval that is greater than a regular frame interval to fall outside a delay acceptable range; add delay information to the delayed frame; and output image data of the image frames including the delayed frame to which the delay information is added.