Image Processing Apparatus Region-Based Capture Control
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Solution Overview
Problem
Existing image processing systems face challenges in efficiently processing multiple objects, such as lanes, pedestrians, and vehicles, due to varying image recognition needs and increased load of capturing and transferring high-resolution images, particularly in systems with multiple cameras.
Innovation Solution
An image processing apparatus that divides the image into multiple processing regions, allowing for controlled sequence, frequency, and timing of image capture and processing, enabling efficient recognition of all objects while reducing the image processing and transfer load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the overall picked-up images are captured in a memory that stores data to be processed by a CPU therein, then the image data can be stored for processing, but the load of capturing and transferring the image cannot be reduced
Solution Approach 1:
The image processing apparatus divides the image into multiple processing regions (first processing region and second processing region). The first processing region is captured at a first frequency and the second processing region is captured at a second frequency, allowing different parts of the image to be processed at different rates based on their importance and processing requirements.
Solution Approach 2:
The apparatus dynamically adjusts the capturing frequency for different processing regions. The determination unit decides whether to capture the first processing region at the first frequency or at a lower second frequency based on whether the region needs detailed processing, thereby adaptively managing the capturing and transferring load.
2Adaptability or versatility
If image recognition processing is performed on all objects in the image, then comprehensive recognition is achieved, but the processing load increases when multiple objects are present
Solution Approach 1:
The image is divided into multiple processing regions that can be handled independently. This segmentation allows the system to focus processing resources on specific regions containing objects of interest while reducing or skipping processing in regions without important objects.
Solution Approach 2:
Different processing regions are assigned different processing frequencies and priorities. The determination unit evaluates each region independently and applies appropriate processing intensity, ensuring that regions containing multiple objects receive adequate attention while empty regions consume minimal resources.
3Measurement precision
If high resolution imaging elements are used, then image quality is improved, but the load of capturing, transferring, and processing the image is further increased
Solution Approach 1:
The high-resolution image from the imaging element is divided into multiple processing regions. Only the necessary regions are captured and transferred at full resolution, while other regions may be processed at lower resolution or skipped entirely, reducing the overall data load while maintaining image quality where needed.
Solution Approach 2:
The system performs image capture and processing at different frequencies for different regions. Not all regions require the same level of processing intensity, so the system applies partial processing to some regions and full processing to others, optimizing the balance between image quality and processing load.
Data Source
AI summary
There is provided an image processing apparatus that can implement image recognition processing on all of objects to be recognized, and can reduce a load of capturing and transferring images. The image processing apparatus includes: an image capturing unit that captures image information picked up by an imaging element; a processing region setting unit that sets a plurality of processing regions for the image information; a processing sequence/frequency determination unit that determines at least any one of a sequence, a frequency, and a timing of capturing the respective image information in a plurality of set processing regions, and at least any one of a sequence, a frequency, and a timing of processing the respective image information; and an image processing unit that captures the image information for each of the processing regions according to the sequence, the frequency, or the timing which has been determined, and processes the captured image information according to the sequence, the frequency, or the timing which has been determined.