Image Capture Feedback for Reliable Object Detection Quality

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Solution Overview

Problem

Existing image processing techniques struggle with capturing images of appropriate quality for effective object detection, as they often fail to account for variations in image quality and region appropriateness, leading to suboptimal detection processes.

Innovation Solution

An image processing method that includes detecting the position of a specific object, generating its distribution in the image, and using this information to adjust camera settings for capturing new images, thereby ensuring optimal image quality for detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If face detection process is performed on the entire region of an input image, then person detection can be achieved, but the image quality is not always appropriate for desired detection

Engineering Contradiction:

Improvedetection accuracyVSAvoidimage quality appropriateness

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The patent performs preliminary evaluation of image quality and appropriateness before conducting the full detection process. The image evaluation unit assesses whether the captured image meets quality standards for detection, and only proceeds with detection when conditions are appropriate, preventing wasted processing on unsuitable images

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual judgment of image quality with an automated image evaluation unit that objectively assesses image appropriateness using predetermined criteria, substituting human mechanical evaluation with an automated system that can consistently judge image quality

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If security cameras are installed in places where many persons gather, then person detection for security purposes can be performed, but the captured images may not include appropriate regions for detecting persons

Engineering Contradiction:

Improvedetection throughputVSAvoiddetection quality

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent implements a feedback mechanism where the image evaluation unit continuously assesses captured images and provides information back to the detection system. When images are evaluated as inappropriate for detection, the system can adjust its operation or discard those images, ensuring that only suitable images undergo the full detection process

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent performs a partial evaluation of all captured images through the image evaluation unit before committing to full detection processing. This preliminary partial action filters out unsuitable images, ensuring that resources are only expended on images that have a reasonable chance of containing detectable persons

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12470802B2Image processing method

Publication Date: 2025.11.11 NEC CORP

AI summary

An image processing apparatus according to the present invention includes: a position detecting unit configured to detect the position of a specific object in an image; a distribution generating unit configured to generate the distribution in the image of the specific object; and an imaging information generating unit configured to generate information used at the time capturing a new image based on the distribution.