Driving Recorder Time-Lapse Upload for Adverse Weather Backup
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Solution Overview
Problem
Conventional driving recorders face issues with data loss or damage of stored videos due to accidents, especially in adverse weather conditions, and uploading full videos to a server is not feasible due to large data size.
Innovation Solution
A driving recorder equipped with a capturing module, communication module, storage medium, and processor that uploads time-lapse videos to a server based on predetermined weather conditions, using a deep learning model for image recognition and adjusting conditions based on visibility indices, and considering road type and speed to optimize data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire driving video is uploaded to the server for backup, then the reliability of video storage is improved, but the data transfer cost and time increase significantly
Solution Approach 1:
The patent extracts only the essential information from the full driving video by generating a time-lapse video that captures key events and conditions. This selective extraction maintains the backup reliability for critical information while dramatically reducing the data volume that needs to be uploaded to the server.
Solution Approach 2:
The patent changes the temporal parameter of the video data by creating a time-lapse version that compresses the time dimension. This transformation reduces the total duration and data size while preserving important visual information about driving conditions and events, thereby reducing upload time and cost.
2Reliability
If the entire driving video is uploaded to the server for backup, then the reliability of video storage is improved, but the data transfer cost increases
Solution Approach 1:
The patent extracts only the essential information from the full driving video by generating a time-lapse video that captures key events and conditions. This selective extraction maintains the backup reliability for critical information while dramatically reducing the data volume that needs to be uploaded to the server, thereby reducing transfer costs.
Solution Approach 2:
The patent changes the temporal parameter of the video data by creating a time-lapse version that compresses the time dimension. This transformation reduces the total duration and data size while preserving important visual information about driving conditions and events, thereby reducing upload cost.
3Loss of energy
If a time-lapse video is uploaded instead of the full video, then the data transfer cost is reduced, but the amount of backup information may be insufficient
Solution Approach 1:
The patent extracts key information from the full video through intelligent analysis that identifies important events such as accidents, unusual driving conditions, or significant road events. The time-lapse video is generated to preserve these critical moments while reducing overall data volume, thus maintaining information completeness for backup purposes.
Solution Approach 2:
The system uses feedback from video analysis to dynamically adjust what information is preserved in the time-lapse version. By continuously monitoring the video content and identifying important events, the system ensures that critical information is retained in the compressed format while non-critical portions are summarized or omitted.
Data Source
AI summary
A driving recorder includes a capturing module, a communication module, a storage medium, and a processor. The capturing module is configured to capture a driving video. The communication module is configured to communicate with a server using wireless communication technology. The storage medium is configured to store the driving video. The processor is electrically connected to the capturing module, the communication module and the storage medium, and is configured to, when determining that a weather condition meets a predetermined condition, upload a time-lapse video to the server through the communication module, where the time-lapse video is related to the driving video.