Toner Consumption Calculation Using Edge and Pixel Counts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for accurately detecting toner consumption in image forming apparatuses face challenges due to varying toner consumption based on image types, such as character, line, and halftone images, which affect manufacturing costs and detection accuracy.
Innovation Solution
A method that calculates toner consumption by logically dividing halftone-processed image data into areas, using a window size of 20 × 5 pixels, and estimating toner amount based on edge count and pixel count within these areas, with reference tables and toner amount tables generated for different screen rulings to account for spatial frequency and depth of electrostatic latent images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If toner consumption is calculated based solely on pixel count or area ratio, then the calculation method is simple, but the detection accuracy is insufficient because toner consumption varies depending on image type
Solution Approach 1:
The image data is divided into multiple areas, and each area is further divided into blocks for analyzing edge counts and pixel counts. This segmentation allows the system to capture local image characteristics that affect toner consumption without requiring complex global analysis of the entire image.
Solution Approach 2:
Different calculation methods are applied to different areas of the image based on local characteristics. The system calculates edge counts and pixel counts for each block and uses these local measurements to determine toner consumption, rather than applying a uniform method to the entire image.
2Measurement precision
If a sensor is provided within the cartridge to detect toner consumption, then detection accuracy is improved, but manufacturing cost increases
Solution Approach 1:
The image forming apparatus itself performs the toner consumption detection by analyzing image data characteristics (edge count, pixel count, area ratio) rather than relying on external sensors in the cartridge. The system uses its existing image processing capabilities to self-determine toner consumption, eliminating the need for additional sensing components.
Solution Approach 2:
The patent replaces the mechanical/sensor-based detection system with an information-based calculation system. Instead of using physical sensors to measure toner consumption, the system uses image data analysis and mathematical calculations to estimate consumption based on image characteristics.
3Measurement precision
If toner consumption is estimated without considering image type characteristics, then the calculation process is simple, but the estimation accuracy varies significantly for different image types
Solution Approach 1:
The system pre-calculates and stores the relationship between image characteristics (edge count, pixel count, area ratio) and toner consumption for different image types. This preliminary analysis allows the system to quickly estimate toner consumption by comparing current image data against pre-established patterns, reducing real-time calculation time.
Solution Approach 2:
The system changes the parameters used for toner consumption calculation based on image type characteristics. By adjusting the weightings and calculation methods according to whether the image is text, graphical, or photographic, the system achieves accurate estimation across different image types without requiring separate calculation processes for each type.
Data Source
AI summary
An edge counter (802) counts an edge count that is the number of edges satisfying a predetermined condition. A pixel counter (803) counts a pixel count that is the number of pixels satisfying a predetermined condition. An image determination unit (804) and a toner amount acquisition unit (805) obtain a toner consumption amount based on the edge count and the pixel count for each area.