Target Area Image Detection for Higher Accuracy and Lower Processing Load
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image detection techniques, such as those described in PTL 1 and PTL 2, are inefficient in detecting target objects due to the need for processing all images to identify faces, leading to reduced efficiency in processing and detection.
Innovation Solution
A detection system and method that involves acquiring a first image and a second image of a narrower area, generating map information from the first image, determining a target area, and analyzing the second image to detect the target object, utilizing a detection system comprising an acquisition unit, map generation unit, and detection unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all images are processed to detect target objects, then detection accuracy is improved, but processing efficiency deteriorates
Solution Approach 1:
The patent divides the detection process into two stages: first, map information is generated from a first image to identify a target area; second, detection is performed only on a second image of the identified target area. This segmentation approach allows comprehensive coverage while focusing computational resources on relevant regions, resolving the contradiction between processing all images for accuracy and selective processing for efficiency
Solution Approach 2:
The patent performs preliminary generation of map information from the first image before conducting detailed detection. This preliminary action identifies the target area in advance, allowing the subsequent detection process to focus only on relevant regions rather than processing all images uniformly, thus improving efficiency while maintaining detection accuracy
Data Source
AI summary
A detection system includes an acquisition unit, a map generation unit, a determination unit, and a detection unit. The acquisition unit acquires a first image and a second image. The second image is an image acquired by capturing an image of a narrower area than in the first image. The map generation unit generates, by using the first image, map information. The determination unit determines a target area in the map information. The detection unit analyzes the second image acquired by capturing an image of the target area, and thereby detects a target object.