Multi-Channel Image Synchronization Using Frame Integrity Checks
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Solution Overview
Problem
The challenge of synchronizing image data from multiple channels is exacerbated by differing transmission and processing delays, leading to asynchronous image outputs that can cause accidents in applications like intelligent driving.
Innovation Solution
A method and apparatus for synchronizing images from multiple channels by detecting frame identifiers and data integrity, generating consistent frame identifiers, and outputting images accordingly, ensuring synchronization across channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image data is transmitted through different channels from multiple cameras, then the system can capture comprehensive scene data, but transmission and processing delays cause asynchronous image outputs
Solution Approach 1:
The patent applies preliminary action by inserting time stamps and frame identifiers at the source (camera level) before transmission begins. This pre-marking of image data with synchronization metadata allows the system to track and compensate for transmission delays later, ensuring that images from different channels can be synchronized at the output despite varying transmission times
Solution Approach 2:
The patent implements feedback mechanisms by monitoring the arrival time and frame identifiers of images from multiple channels, then using this information to adjust and synchronize the output timing. The system compares time stamps and frame numbers across channels, providing feedback control that compensates for transmission delays and ensures synchronized output
2Productivity
If frame identifiers are generated without integrity verification, then processing speed is maintained, but data corruption goes undetected and synchronization fails
Solution Approach 1:
The patent introduces an intermediary verification mechanism that checks data integrity through checksums or hash values associated with frame identifiers. This intermediary layer validates whether image data has been corrupted during transmission before synchronization processing, ensuring that only intact data is synchronized without significantly impacting overall processing efficiency
Data Source
AI summary
Disclosed are a method for synchronizing images from multiple channels, a computer readable storage medium, and an electronic device. The method includes: determining, from at least two image transmission channels, target image data corresponding to a target image transmission channel at a preset timepoint; determining a mounting status of a frame identifier of the target image data; determining integrity information of the target image data based on the mounting status; generating the frame identifier of the target image data based on the integrity information; and generating, based on the frame identifier, a to-be-output image corresponding to each image transmission channel in the channels, outputting the to-be-output image. According to this disclosure, image data transmitted in image transmission channels is detected and repaired automatically, which improves efficiency of collecting images from channels and image quality, thereby resolving a problem of asynchronous data when the image data is transmitted in the channels.