Vehicle Image Recording System Quality Adjustment for Data Transmission Speed
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image recording systems for vehicles face challenges in reading image data at high speeds due to relatively low communication speeds over vehicle networks like CAN, which can result in prolonged data transfer times.
Innovation Solution
An image recording system that associates images captured by vehicle-mounted cameras with index values indicating the possibility of collision, allowing for a quality-changing process that reduces image data amounts by decreasing image quality based on these index values, thereby enabling faster data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If image data is transmitted through vehicle network at original quality, then image quality is maintained, but transmission time becomes excessively long
Solution Approach 1:
The patent applies parameter changes by adjusting the quality parameter of image data based on the index value. When the index value indicates low collision possibility, the image quality is decreased (parameter change), which reduces data amount and enables faster transmission through the vehicle network, thus resolving the contradiction between transmission speed and image quality.
Solution Approach 2:
The patent implements local quality by applying different quality levels to different image data based on their respective index values. Images with low collision possibility undergo quality reduction while images with high collision possibility maintain original quality, allowing selective optimization of transmission speed without uniformly compromising all image data.
2Reliability
If all images are transmitted at high quality, then complete information is preserved, but communication time increases significantly
Solution Approach 1:
The patent changes the quality parameter of image data dynamically based on the associated index value. This selective parameter adjustment ensures that only images with low collision possibility undergo quality reduction, preserving information completeness for critical images while reducing communication time for non-critical images.
Solution Approach 2:
The patent applies partial action by selectively reducing quality only for images with low collision possibility (partial application), rather than uniformly reducing all images. This approach maintains information completeness where needed while achieving time savings where appropriate.
3Productivity
If image quality is reduced to increase transmission speed, then data transfer time decreases, but image importance may be compromised
Solution Approach 1:
The patent applies local quality by associating different quality levels with different image data based on their index values that reflect importance. Images with high collision possibility (high importance) maintain original quality, while images with low collision possibility undergo quality reduction, thus preserving reliability for important images while improving productivity for less important ones.
Solution Approach 2:
The patent uses parameter changes to dynamically adjust image quality based on the index value that represents image importance. This conditional parameter adjustment ensures that productivity is improved through quality reduction only when it does not compromise the reliability of important images.
Data Source
AI summary
An image recording system includes: a memory in which an image picked up by a camera and an index value are stored in association with each other, the camera being equipped in a vehicle, the index value indicating a possibility of collision between the vehicle and an obstacle at a time when the image is picked up; and at least one processing circuit configured to perform a quality changing process of decreasing a quality of the image, based on the index value.