Signal Processing Device Failure Detection
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Solution Overview
Problem
Existing signal processing technologies for in-car cameras face difficulties in achieving easy and accurate failure detection of signal processing circuits, particularly due to the need for complex processing and limited test patterns, which can influence subsequent processing stages and result in insufficient accuracy.
Innovation Solution
A signal processing device and method that add test data with the same sample value to valid data processed in multiple paths, allowing for parallel processing and comparison to detect failures by comparing sample values, thereby simplifying the detection process and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a test pattern is combined with a partial area of an image through modulation and combination processing, then failure detection can be performed, but the processing becomes complicated and requires multiple processing steps
Solution Approach 1:
The invention extracts the test pattern from the image processing pipeline by adding it as separate test data that bypasses the normal image processing paths. This allows failure detection without requiring the test pattern to go through modulation and combination processing with the actual image data, thereby simplifying the processing while maintaining detection capability
Solution Approach 2:
The invention segments the data processing by separating valid image data from test data. Test data with predetermined values is added independently and processed through dedicated paths, allowing parallel processing without interfering with normal image processing and enabling simpler failure detection through direct comparison of test data values
2Measurement precision
If various test patterns are used for high accuracy failure detection, then detection accuracy improves, but the test patterns must be invisible to users which limits the types of patterns that can be used
Solution Approach 1:
The invention uses copies of test data with predetermined values that are added to the data stream. These test data copies can have any value pattern including those that would be visible in images, because they are processed separately and their values are directly compared rather than being modulated into the final image output. This enables use of diverse test patterns for accurate failure detection without user visibility constraints
Solution Approach 2:
The invention changes the parameter of test data visibility by processing test data independently from image data. Test data values can be set to various patterns including high-contrast visible patterns, because the test data processing path is separate and does not require the patterns to be hidden in the final image as in traditional approaches
3Reliability
If a test pattern is combined with the partial area of the image, then failure detection is enabled, but the test pattern combination may influence processing accuracy in subsequent stages such as object detection
Solution Approach 1:
The invention segments the data processing by separating valid image data from test data into different processing paths. Test data is added independently and processed through dedicated paths that do not interfere with normal image processing. This prevents test pattern combination from influencing subsequent processing stages like object detection, while still enabling failure detection through direct comparison of test data values
Solution Approach 2:
The invention extracts test data processing from the main image processing pipeline. By adding test data separately and processing it through independent paths, the test data does not get combined with image data in subsequent processing stages, thereby preventing any influence on processing accuracy in stages like object detection while maintaining failure detection capability
Data Source
AI summary
The present technology relates to a signal processing device and method, and a program that enable easier and more accurate failure detection. The signal processing device includes: an addition unit that adds test data for failure detection to valid data on which predetermined processing is to be performed, two or more samples processed in parallel in different paths having a same sample value in the test data; and a signal processing unit that performs the predetermined processing on the valid data and the test data that has been added to the valid data by a plurality of the paths. The present technology can be applied to in-car cameras.