Toner Authorization Detection Using Scan Pattern Analysis
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Solution Overview
Problem
Existing printing devices face challenges in authenticating the use of authorized toner, which can lead to degraded image quality and potential device damage, while authentication devices increase manufacturing costs for both devices and consumable item assemblies.
Innovation Solution
A method to determine toner authorization based on toner scatter patterns, color, and image artifacts, using machine learning models to analyze scanned images, without requiring additional hardware in the printing device or consumable item assemblies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If authentication devices are added to printing devices and consumable item assemblies, then toner authorization can be verified, but manufacturing costs increase
Solution Approach 1:
The patent uses image copying instead of physical authentication devices. The printing device prints a test image with toner, then scans the printed image to analyze toner characteristics. This virtual copy-based authentication eliminates the need for physical authentication hardware in both the printing device and consumable assemblies, reducing manufacturing costs while maintaining authorization verification capability
Solution Approach 2:
The patent replaces mechanical/authentication hardware systems with an optical and computational system. Instead of using physical authentication devices that require mechanical contact or proximity sensing, the system uses optical scanning of printed images combined with machine learning analysis to determine toner authorization, substituting mechanical systems with optical-computational ones
2Reliability
If authentication devices are added to printing devices and consumable item assemblies, then toner authorization can be verified, but device complexity increases
Solution Approach 1:
The patent makes existing components perform multiple functions. The printing device's existing print function is used to create test patterns, and the existing scan function is used to analyze toner characteristics. This multi-functionality approach allows authorization verification without adding dedicated authentication hardware, thereby reducing device complexity
Solution Approach 2:
The system uses itself to authenticate itself. The printing device prints test images and scans them using its own built-in scanner, analyzing the toner characteristics through machine learning. This self-service approach eliminates the need for separate authentication devices, reducing overall system complexity
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
Effectively authenticates toner authorization at lower cost, preventing unauthorized use and maintaining print quality, while reducing manufacturing costs by eliminating the need for authentication devices in devices and consumable item assemblies.
Implementation Method 1
scan hardware to optically scan the image as printed
Data Source
AI summary
An image printed using toner is optically scanned. Whether the toner is authorized is determined by one or multiple of the following. A toner scatter pattern can be identified within the scanned image and whether the identified toner scatter pattern conforms to expected toner scatter patterns associated with authorized toner can be determined. A color within the scanned image can be identified and whether the identified color conforms to an expected corresponding color associated with the authorized toner can be determined. An image artifact within the scanned image associated with failure of a cartridge in which the toner is installed can be identified and whether the image artifact conforms to expected image artifacts associated with failure of an authorized cartridge in which the authorized toner is installed can be determined.