Vehicular Image Capture Shutter Control for Motion Blur
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Solution Overview
Problem
Conventional image pickup devices mounted on moving objects, such as vehicles, experience deteriorated image quality due to motion, affecting the accuracy of image recognition.
Innovation Solution
A vehicular image pickup device and method that captures sequential driving images, analyzes the variance of object images to adjust shutter speed, and fine-tunes fill light intensity or gain based on grayscale distribution and frequency spectrum to enhance image quality, eliminating the need for feedback from a back-end system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the image pickup device is mounted on a moving vehicle, then the device can capture images while moving, but the image quality deteriorates due to motion
Solution Approach 1:
The patent applies dynamics by making the shutter speed adjustable and adaptive rather than fixed. The shutter speed is dynamically changed based on the variance between sequential images, allowing the system to adapt to different motion conditions and maintain image quality while capturing images during vehicle movement
Solution Approach 2:
The patent changes the shutter speed parameter based on image variance analysis. By calculating the variance between sequential images and adjusting the shutter speed accordingly, the system optimizes image quality under varying motion conditions, directly addressing the contradiction between mobile capture capability and image quality
2Manufacturing precision
If the shutter speed is adjusted to improve image sharpness, then the image quality improves, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically analyzing image variance and adjusting shutter speed without external intervention. The processing unit calculates variance between sequential images and autonomously determines the optimal shutter speed, eliminating the need for manual adjustment or complex external control systems
Solution Approach 2:
The patent implements feedback by using the variance between sequential images as a basis for adjusting shutter speed. This feedback mechanism allows the system to continuously optimize image sharpness based on actual capture conditions, achieving high image quality through a relatively simple closed-loop control approach
3Manufacturing precision
If real-time image analysis is performed to adjust capture parameters, then image quality improves, but processing time increases
Solution Approach 1:
The patent applies partial action by performing image analysis on only two sequential images to calculate variance, rather than analyzing all captured images or using complex analysis methods. This selective approach achieves sufficient information for shutter speed adjustment while minimizing processing time
Solution Approach 2:
The system performs preliminary action by continuously capturing sequential images and analyzing their variance in real-time, so that shutter speed adjustments are made proactively based on detected motion patterns rather than reactively after image quality degradation occurs
Data Source
AI summary
A vehicular image pickup device includes an image capturing unit and a processing unit. The image capturing unit captures a plurality of driving images sequentially. The driving images each include an object image. The processing unit performs an image analysis on two of the plurality of driving images to obtain a variance of the object image and sets a shutter speed of the image capturing unit according to the variance.