Pixel Collection Circuit for Parallel Optical Flow and Image Readout
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Solution Overview
Problem
Current optical flow technologies are complex and computation-intensive, requiring high-frame-rate image collection and processing, which leads to increased hardware demands and calculation burdens, making real-time analysis of high-speed objects challenging.
Innovation Solution
A pixel collection circuit and optical flow sensor system that includes a photoelectric detection unit, optical flow information timing trigger unit, and timing control units to output optical flow information in parallel with image information, allowing for independent adjustment of collection and reading speeds, thereby reducing computational burden and enabling real-time optical flow analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional optical flow calculation methods are used with high-frame-rate image collection, then real-time optical flow analysis can be achieved, but the computational burden and hardware demands increase significantly
Solution Approach 1:
The patent segments the image collection and processing function into two independent parallel paths: one path collects and processes optical flow information at high frame rates, while the other path collects image information at lower frame rates. This segmentation allows each path to be optimized independently, reducing the overall hardware burden while maintaining real-time optical flow analysis capability.
Solution Approach 2:
The patent extracts the optical flow information collection function from the traditional image collection and processing system. By using a dedicated optical flow sensor that directly outputs optical flow information without requiring full image capture and processing, the system removes the computational burden of processing complete images while retaining the essential motion detection capability.
2Speed
If traditional optical flow calculation methods are used with high-frame-rate image collection, then real-time optical flow analysis can be achieved, but the calculation burden on the processor increases
Solution Approach 1:
The patent extracts the optical flow measurement function from the image processing pipeline by using a dedicated optical flow sensor that directly outputs optical flow information. This extraction eliminates the need for computationally intensive image processing algorithms while maintaining real-time analysis capability, significantly reducing the processor's calculation burden.
Solution Approach 2:
The patent replaces the mechanical/image-processing-based optical flow calculation system with a direct optical flow sensing system. Instead of capturing images and performing computational analysis, the system uses specialized sensors that directly measure optical flow, substituting complex computational mechanics with direct physical measurement.
3Adaptability or versatility
If optical flow and image information are collected using the same system, then both types of data can be acquired, but the collection speeds cannot be independently adjusted
Solution Approach 1:
The patent segments the data collection system into two independent parallel collection paths: one dedicated to optical flow information and another to image information. Each path has its own sensor and processing pipeline, allowing independent adjustment of collection speeds and parameters without interfering with the other type of data collection.
Solution Approach 2:
The patent creates a multi-functional system where a single integrated sensor can simultaneously perform both optical flow measurement and image capture functions. The sensor outputs both types of information through separate channels, providing versatility while maintaining independent controllability of each function's operational parameters.
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
The system effectively extracts optical flow information for moving objects at various speeds while acquiring clear, non-lagged grayscale images, allowing for parallel output of optical flow and image frames without mutual interference, thus reducing hardware requirements and improving processing efficiency.
Implementation Method 1
a photoelectric detection unit configured to output a first electric signal representing an intensity of a received optical signal in real time
Data Source
AI summary
The present disclosure provides a pixel collection circuit which at least includes a photoelectric detection unit, an optical flow information timing trigger unit, an optical flow information timing control unit, an optical flow information timing unit and a row selection output unit. The present disclosure further provides an optical flow sensor including the pixel collection circuit, and an optical flow and image information collection system.