Document Placement Surface Contrast for White Object Recognition
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Solution Overview
Problem
In image processing apparatuses, it is difficult to distinguish objects placed on a white-colored placement portion from the background due to similar colors, leading to identification challenges.
Innovation Solution
The apparatus employs a placement portion with a color represented by a Y-value closer to black than white in the YCbCr method, ensuring distinguishability of objects from the placement surface, and includes features like radiation units and adjustable light sources to enhance object recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the placement portion is made white to provide a clean and simple appearance, then the aesthetic quality is improved, but the object becomes difficult to distinguish from the background when the object is also white
Solution Approach 1:
The placement portion is divided into a first placement area with a first color (e.g., white) and a second placement area with a second color (e.g., black or dark gray). The image capturing member captures images of both areas, and the system determines whether to display the captured image based on the presence of objects in either area. This local differentiation allows the placement portion to maintain aesthetic quality in the first area while providing sufficient contrast in the second area for object detection.
2Difficulty of detecting and measuring
If the placement portion uses a dark color to improve object visibility, then object identification is improved, but the clean and simple appearance is compromised
Solution Approach 1:
Instead of making the entire placement portion dark, only a specific second placement area is made dark while the first placement area maintains a light, clean appearance. This allows the system to achieve good object visibility in the second area without compromising the overall aesthetic quality of the placement portion.
Solution Approach 2:
The placement portion is segmented into multiple functional areas with different color characteristics. The first placement area provides a clean aesthetic appearance, while the second placement area provides high contrast for object detection. The image capturing member captures both areas, and the system integrates information from both areas to determine object presence.
3Ease of manufacture
If the placement portion is made white for simplicity, then manufacturing simplicity is improved, but distinguishability between white objects and the placement surface deteriorates
Solution Approach 1:
The placement portion incorporates a second placement area with a dark color that provides high contrast for object detection, while the first placement area maintains a light color for aesthetic purposes. This local quality differentiation resolves the contradiction by providing both manufacturing simplicity (large area of simple light color) and object-background distinction (specific dark area for contrast).
Data Source
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AI summary
An image processing apparatus includes a medium discharge portion onto which a medium to be taken out by a person with the person standing is discharged, a placement portion that is installed above the medium discharge portion, an object in color that is represented by using a Y-value closer than a value that represents black color to a value that represents white color where the color is represented by using a Y-value that represents luminance in a YCbCr method being placed on the placement portion, an image capturing member that is installed above the placement portion and that captures an image of the object that is placed on the placement portion. Color of an upper portion of the placement portion is represented by using a Y-value closer than the value that represents the white color to the value that represents the black color where the color is represented by using the Y-value that represents the luminance in the YCbCr method such that the object and the placement portion are distinguishable from each other in the image that is captured by the image capturing member.