Imaging Control Device for Moving Object Detection
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Solution Overview
Problem
Existing imaging technologies face challenges in accurately capturing moving subjects using the global shutter method, as they either fail to detect the subject due to simultaneous exposure across all pixel rows or miss the opportunity to capture the image due to sequential signal reading.
Innovation Solution
An imaging control device and method that employs a global shutter method for simultaneous exposure across all pixels, followed by sequential reading of pixel rows, combined with a moving object detection unit that divides captured image data into areas to predict the subject's position and trigger recording at the appropriate time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the global shutter method is used to simultaneously expose all pixel rows, then the problem of missing moving subjects due to sequential exposure is solved, but the time delay in detecting and recording the subject increases because all pixel signals must be sequentially read
Solution Approach 1:
The imaging sensor is divided into multiple pixel rows that are exposed simultaneously but read out sequentially. This segmentation allows the global shutter effect to be achieved for all rows while maintaining a manageable readout process. The detection unit processes signals from different pixel rows at different times, enabling timely detection of moving subjects while preserving the global shutter advantage of simultaneous exposure.
Solution Approach 2:
All pixel rows perform exposure simultaneously in advance before the readout process begins. This preliminary action ensures that the entire scene is captured at the same moment, preventing missing moving subjects during exposure. The subsequent sequential readout and detection then process this pre-captured data to identify and record the subject at the appropriate time.
2Productivity
If the rolling shutter method is used for sequential exposure of pixel rows, then the readout time is reduced, but moving subjects may be missed due to the sequential exposure process
Solution Approach 1:
The imaging sensor is divided into multiple pixel rows that are exposed simultaneously but read out sequentially. This segmentation allows the global shutter effect to be achieved for all rows while maintaining a manageable readout process. The detection unit processes signals from different pixel rows at different times, enabling timely detection of moving subjects while preserving the global shutter advantage of simultaneous exposure.
3Measurement precision
If automatic imaging is implemented with region setting, then the timing accuracy for capturing moving subjects is improved, but the system complexity increases due to the need for region division and movement prediction
Solution Approach 1:
The detection unit automatically performs region division and subject movement prediction without requiring manual intervention. The system self-adjusts by comparing pixel signals from different pixel rows to detect moving subjects and predict their trajectories. This automatic operation achieves high timing accuracy while minimizing the need for complex user configuration or external control systems.
Solution Approach 2:
The detection unit continuously compares pixel signals from different pixel rows and uses this feedback to predict subject movement and determine optimal imaging timing. The system adjusts its detection and recording decisions based on real-time analysis of the incoming signal patterns, enabling accurate capture of moving subjects while maintaining a relatively simple system architecture.
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
Enables accurate and timely imaging of moving subjects by predicting the overlap of the subject with a set range, ensuring that the image is captured when the subject is at the desired position, thereby reducing the chance of missing the shot.
Implementation Method 1
a plurality of pixels each including a photoelectric converter and a charge holder which holds charges transferred from the photoelectric converter
Data Source
AI summary
A system control unit consecutively images a subject by driving based on a global shutter method, divides captured image data obtained by the imaging into a plurality of areas, and each time each area is generated, compares the generated area with the same area as the area in the captured image data generated by the imaging performed before the imaging, and detects a moving object from the area based on a result of the comparison. Based on a change in position of the detected moving object, the system control unit predicts a timing at which a trigger range TR set in the captured image overlaps with the moving object, and performs automatic imaging in a frame period that includes the timing.