Imaging Device Reflection Analysis and Object Identification
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Solution Overview
Problem
Current imaging devices face challenges in accurately identifying specific objects, such as photographers or tripods, within captured images, especially when external light or reflection is present, making it difficult to determine if desired three-dimensional information has been correctly acquired.
Innovation Solution
An imaging device equipped with an imaging unit, a projector, a light receiver, and a determination unit that analyzes both image and light reflection data to distinguish between high reflection objects, distant objects, image blur, and the presence of specific objects, allowing for real-time display feedback on a display unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If image processing is performed to reduce reflection effects, then the adverse effect of reflection is reduced, but the ability to accurately identify specific objects deteriorates
Solution Approach 1:
The patent segments the object recognition process into multiple stages: first capturing the original image, then analyzing reflection characteristics separately, and finally combining both information streams. This allows reflection reduction processing to be applied selectively to specific regions while preserving object identification capabilities in other areas.
Solution Approach 2:
The patent introduces an intermediary analysis layer that examines reflection patterns without completely removing them. This intermediary processing stage analyzes the reflection characteristics as a separate data stream and uses this information to enhance rather than hinder object identification, turning the reflection from a harmful factor into a useful diagnostic tool.
2Measurement precision
If multiple data types are analyzed simultaneously, then object identification accuracy is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple data types (image data, reflection data, and processing results) into a unified analysis framework. By combining these diverse data streams into a single integrated processing pipeline, the system achieves high object identification accuracy without proportionally increasing device complexity, as the merging process consolidates rather than multiplies the processing components.
Solution Approach 2:
The patent implements a universal processing architecture that handles multiple data types through a single multi-functional system. The same processing unit analyzes both image and reflection data, and the same output interface presents both types of information, eliminating the need for separate dedicated systems for each data type and thereby controlling overall device complexity.
3Productivity
If real-time display feedback is provided, then productivity is improved, but use of energy increases
Solution Approach 1:
The patent implements periodic update of the display feedback rather than continuous real-time updating. The system processes data in discrete intervals and updates the display at these periodic moments, which significantly reduces energy consumption compared to continuous updating while still maintaining high productivity by providing timely feedback on data acquisition status.
Solution Approach 2:
The patent applies partial updating to the display feedback, where only critical changes or significant events trigger a display update rather than updating every data point. This selective or excessive action approach ensures that productivity is maintained through adequate feedback while energy consumption is reduced by avoiding unnecessary continuous updates.
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
Enables accurate identification of specific objects within captured images, reducing the need for repeated data acquisition and enhancing the efficiency of three-dimensional data collection by providing immediate feedback on image content.
Implementation Method 1
a projector configured to project light onto the object; a light receiver configured to receive light reflected from the object
Data Source
AI summary
An imaging device includes an imaging unit configured to capture an image of an object; a projector configured to project light onto the object; a light receiver configured to receive light reflected from the object; a determination unit configured to determine whether a presence or absence of at least one of a high reflection object, a low reflection object, a distant object, or an image blur, based on both an output of the light receiver and an output of the imaging unit; and a display controller configured to cause a display unit to present a different display according to the presence or absence of at least one of the high reflection object, the low reflection object, the distant object, or the image blur.