Sensor Fusion for Real-Time Image Analysis
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Solution Overview
Problem
The challenge is to reduce the data volume of images used for analysis while maintaining high quality, as increasing data volume leads to increased processing time and load, making real-time analysis difficult.
Innovation Solution
The proposed solution involves an information processing apparatus and system that utilizes a combination of sensors, including a RGB sensor and an Event Vision Sensor (EVS), where the controller controls one sensor based on data output from the other, and a processor processes the sensing data to reduce data volume while maintaining image quality. This is achieved through sensor fusion techniques, where the EVS detects luminance changes and controls other sensors, such as the RGB sensor, to optimize sampling rates, exposure times, and gain settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the data volume of the image used for analysis is increased to enhance analysis accuracy, then the quality of image analysis is improved, but the processing time and computational load increase, making real-time analysis difficult
Solution Approach 1:
The patent segments the image data into two types: full-resolution images captured at low frame rates for high-quality analysis, and downsampled images captured at high frame rates for real-time processing. This segmentation allows the system to maintain analysis accuracy while reducing processing time by only performing detailed analysis on selectively captured high-quality images rather than continuously processing all captured data at full resolution
Solution Approach 2:
The patent dynamically adjusts the sampling rate and resolution of image capture based on the analysis requirements and available processing resources. The system can switch between capturing high-resolution images at low frame rates when analysis accuracy is prioritized, and capturing lower-resolution images at high frame rates when real-time processing is prioritized, thereby adaptively resolving the contradiction between analysis quality and processing speed
2Measurement precision
If the data volume of the image used for analysis is increased to enhance analysis accuracy, then the quality of image analysis is improved, but the computational load increases, making real-time analysis difficult
Solution Approach 1:
The patent applies partial action by capturing and processing only the necessary portion of image data at high resolution. Instead of continuously processing all captured images at full resolution, the system selectively captures high-resolution images at specific time points and uses downsampled images for routine monitoring, thereby reducing computational load while maintaining analysis accuracy when needed
Solution Approach 2:
The patent creates a simplified copy of the image data by generating downsampled versions of high-resolution images. These downsampled copies are used for real-time processing and monitoring, reducing the computational complexity and processing load, while the original high-resolution images are retained for detailed analysis when required
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for real-time image analysis with reduced data volume, preventing increased processing time and load, and maintains high image quality by selectively processing data based on luminance changes and event detection.
Implementation Method 1
a first sensor configured to detect light emitted from an object
Implementation Method 2
a second sensor configured to detect a change in luminance value of the light as an event
Data Source
AI summary
Provided is an information processing apparatus including: a controller (406) configured to control one of a first sensor (100) and a second sensor (200) based on sensing data output from the other, the first sensor being configured to detect light emitted from an object and the second sensor being configured to detect a change in luminance value of the light as an event; and a processor (408) configured to process the sensing data output from the first sensor or the second sensor.