Imaging Apparatus Detection Frame Homogeneity
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Solution Overview
Problem
Existing imaging apparatuses can make users uncomfortable by erroneously detecting humans as animals, leading to visually distinguishable detection frames that highlight incorrect identifications.
Innovation Solution
An imaging apparatus with an image sensor, display, and controller that uses a common displaying style for human and animal detection frames when neither is the main object, preventing users from noticing erroneous detections by displaying human and animal detection frames in a non-distinguishable manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the imaging apparatus displays detection frames for humans and animals with different styles to indicate accurate identification, then the detection accuracy and user awareness are improved, but users may feel uncomfortable when humans are erroneously detected as animals
Solution Approach 1:
The patent applies local quality by differentiating the display style of detection frames based on the detected object type. Human detection frames use a first display style (e.g., solid line), while animal detection frames use a second display style (e.g., dashed line). This localized differentiation allows users to accurately identify detection results while preventing discomfort from erroneous human-animal misdetections, as only correct animal detections receive the distinctive styling.
Solution Approach 2:
The patent implements preliminary action by pre-establishing different display styles for human and animal detection frames before the detection process. The system prepares distinct visual identifiers in advance and automatically applies them based on the detected object type, ensuring that erroneous detections are visually distinguished from correct ones without requiring real-time user intervention or post-processing.
2Ease of operation
If the imaging apparatus uses a unified display style for all detection frames to simplify the interface, then the ease of operation is improved, but users cannot distinguish between human and animal detections
Solution Approach 1:
The patent applies local quality by differentiating the display style of detection frames based on the detected object type. Human detection frames use a first display style (e.g., solid line), while animal detection frames use a second display style (e.g., dashed line). This localized differentiation allows users to accurately identify detection results while preventing discomfort from erroneous human-animal misdetections, as only correct animal detections receive the distinctive styling.
3Loss of information
If the imaging apparatus displays all detection results prominently to ensure user awareness, then the information completeness is improved, but the possibility of highlighting erroneous detections increases
Solution Approach 1:
The patent applies local quality by differentiating the display style of detection frames based on the detected object type. Human detection frames use a first display style (e.g., solid line), while animal detection frames use a second display style (e.g., dashed line). This localized differentiation allows users to accurately identify detection results while preventing discomfort from erroneous human-animal misdetections, as only correct animal detections receive the distinctive styling.
Solution Approach 2:
The patent converts the potentially harmful effect of displaying all detection results (including erroneous ones) into a benefit by using display style differentiation. Erroneous human detections are displayed with the first style (solid line), while correct animal detections use the second style (dashed line). This transformation allows the system to display all detections for completeness while automatically highlighting only correct animal detections, converting the potential harm of erroneous detection visibility into a beneficial distinction between accurate and inaccurate identifications.
Data Source
AI summary
An imaging apparatus includes: an image sensor that captures an image of an object to generate a captured image; a display that displays the captured image; a first detector that detects, when the object is a human, at least a portion of the human; a second detector that detects, when the object is an animal, at least a portion of the animal; and a controller that controls the display to display a first detection frame and a second detection frame on the captured image, the first detection frame corresponding to the human and the second detection frame corresponding to the animal, wherein the controller controls the display to display the first and second detection frames in a common displaying style when neither the first detection frame nor the second detection frame is a third detection frame corresponding to a main object of the objects.


