Medium Identification Device Using Specular and Diffused Reflection Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image forming technologies struggle to identify a wide variety of recording media, limiting their ability to optimize image formation processes.
Innovation Solution
A medium identification device and method using a two-dimensional image sensor to capture images of recording media, obtaining glossiness, surface roughness, and coloring evaluation values from specular and diffused reflection regions, allowing for the identification of recording media types by combining these determinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional image forming technologies are used to identify recording media, then the identification process is simple, but the range of identifiable media types is limited
Solution Approach 1:
The patent segments the reflection analysis into two distinct regions: specular reflection region and diffused reflection region. By separating the analysis of these two regions, the system can extract different types of surface information (glossiness from specular, texture from diffused) using a single image sensor, thereby expanding media identification capability without proportionally increasing device complexity
Solution Approach 2:
The patent transitions from conventional single-parameter or simple multi-parameter detection to a two-dimensional approach by analyzing both specular and diffused reflection regions simultaneously. This dimensional expansion in analysis methodology enables comprehensive media type identification while maintaining efficient operation through integrated processing
2Measurement precision
If multiple parameters are used to identify recording media types, then identification accuracy improves, but the complexity of the identification process increases
Solution Approach 1:
The patent merges the analysis of specular reflection region and diffused reflection region into a unified identification process. By combining the glossiness evaluation from specular region with texture and coloring information from diffused region, the system achieves high identification accuracy through integrated multi-parameter analysis without requiring separate complex detection systems for each parameter
3Reliability
If a single image sensor is used to capture reflection regions, then device simplicity is maintained, but the ability to distinguish between specular and diffused reflection is limited
Solution Approach 1:
The patent applies local quality analysis by treating the specular reflection region and diffused reflection region differently even though they are captured by the same image sensor. By applying region-specific evaluation methods (glossiness evaluation for specular, texture and coloring evaluation for diffused), the system achieves reliable distinction between reflection types while maintaining device simplicity
Solution Approach 2:
The patent introduces an intermediary processing layer that separates and analyzes different reflection regions from the image data captured by a single sensor. This intermediary analysis stage enables reliable distinction between specular and diffused reflection by applying appropriate evaluation methods to each region, bridging the gap between simple sensor hardware and sophisticated media identification
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 the identification of a broader range of recording media, allowing for optimized image formation processes, including determining ink discharge type and image resolution based on the identified media type.
Implementation Method 1
image data of a specular reflection region reflecting specular reflection light from the recording medium
Implementation Method 2
image data of a diffused reflection region reflecting diffused reflection light from the recording medium
Data Source
AI summary
A medium identification device identifies a type of a recording medium used for image formation. The medium identification device includes: a two-dimensional image sensor that captures an image of the recording medium; and an identifying unit that obtains a glossiness evaluation value indicating glossiness of the recording medium, a surface roughness evaluation value indicating surface roughness of the recording medium, and a coloring evaluation value indicating coloring of the recording medium, using image data of a specular reflection region reflecting specular reflection light from the recording medium and image data of a diffused reflection region reflecting diffused reflection light from the recording medium, the regions being in the image of the recording medium, and identifies the type of the recording medium by combining determination using the glossiness evaluation value, determination using the surface roughness evaluation value, and determination using the coloring evaluation value.