Image Capturing Apparatus Automatic Capture Reliability
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Solution Overview
Problem
Existing automatic image capturing techniques fail to accurately recognize object status due to factors like small face size, shadows, and accessories, leading to incomplete or delayed image capture when multiple objects are involved.
Innovation Solution
An image capturing apparatus with an image input unit, status determination unit, automatic image capturing instruction unit, and shooting control unit that stores images based on predetermined conditions, ensuring image capture even if initial conditions are not met by selecting suitable images after a predetermined time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If recognition processing is executed to detect object status for automatic image capturing, then automatic image capturing can be triggered when conditions are met, but recognition may fail due to small face size, shadows, accessories, or multiple objects leading to no image being captured
Solution Approach 1:
The system performs preliminary recognition processing on multiple objects simultaneously, storing recognition results and corresponding images in advance. When recognition fails for one object, the system can still access previously stored recognition results and images of other objects, ensuring that at least some images are captured rather than none at all.
Solution Approach 2:
The system changes the evaluation parameter from requiring all objects to be successfully recognized to requiring at least one object to be successfully recognized. This parameter change allows the system to proceed with image capturing even when some objects fail recognition, thereby improving the reliability of automatic image capturing.
2Reliability
If recognition processing is executed for multiple objects, then comprehensive coverage is achieved, but processing time increases and may result in very long time to perform automatic image capturing
Solution Approach 1:
The system performs recognition processing on multiple objects in advance and stores the results along with corresponding images. This preliminary action allows the system to have recognition results ready before the actual image capturing decision is made, significantly reducing the time required at the moment of capturing while maintaining comprehensive object coverage.
Solution Approach 2:
The system prepares multiple candidate images and recognition results in advance, creating a buffer or cushion of pre-processed data. When the automatic image capturing function is triggered, the system can quickly select from pre-prepared images rather than performing time-consuming recognition processing at that moment, thus reducing time loss.
3Manufacturing precision
If strict recognition conditions are applied for automatic image capturing, then image quality is ensured, but no image may be shot when conditions are not met even in practice
Solution Approach 1:
Instead of requiring all objects to meet strict recognition conditions, the system applies partial action by accepting images where at least one object meets the conditions. This partial satisfaction approach ensures that images are captured even when not all objects perfectly meet the criteria, maintaining image quality while increasing the frequency of successful captures.
Solution Approach 2:
The system changes the logical condition from universal quantification (all objects must meet conditions) to existential quantification (at least one object must meet conditions). This parameter change in the recognition logic maintains image quality standards while significantly improving the reliability and frequency of successful image capture in practical scenarios.
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
Ensures that images are captured accurately and efficiently, avoiding incomplete or delayed captures by selecting images that meet conditions after a predetermined time, thus improving the reliability of automatic image capturing.
Implementation Method 1
an image input unit which photo-electrically converts an object image to generate an image signal
Data Source
AI summary
An image capturing apparatus includes an image input unit which photo-electrically converts an object image to generate an image signal, a status determination unit which determines an object status in an image generated by the image input unit, an automatic image capturing instruction unit which starts an automatic image capturing operation as an operation to automatically store the image generated by the image input unit in the first storage unit when the object status determined by the status determination unit satisfies a predetermined automatic image capturing condition, and a shooting control unit which automatically stores the image generated by the image input unit in the second storage unit when the object status does not satisfy the automatic image capturing condition even upon the lapse of a predetermined time after the automatic image capturing instruction unit designates the automatic image capturing operation.