AI Metallic Object Detection for Print Rendering

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Solution Overview

Problem

Customers lack the knowledge to effectively implement metallic toners or inks in printing, leading to underutilization of these premium materials, resulting in missed opportunities for printer manufacturers and toner/ink producers, as they often do not know which objects to render metallic and how to achieve optimal results.

Innovation Solution

A system utilizing an artificial intelligence-based object detection routine trained on metallic objects to identify and render metallic objects with metallic toners or inks, providing users with options to accept, edit, or reject the metallic rendering, and allowing for printing with either metallic or non-metallic toners/inks, with features like boundary boxes and confidence levels for detected objects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If customers manually decide which objects to render with metallic toner or ink, then they can exercise control over the rendering process, but they lack sufficient knowledge to make effective decisions leading to underutilization of metallic materials

Engineering Contradiction:
Improvecustomer control over renderingVSAvoidutilization of metallic toner or ink
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The system enables self-service by automatically detecting metallic objects and applying metallic rendering without requiring customer expertise. The object detection routine autonomously identifies suitable objects and applies metallic toner or ink, allowing customers to benefit from advanced rendering capabilities while the system handles the complex decision-making process.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system changes the operational parameters by introducing automated object detection and classification capabilities. Instead of relying on customer knowledge, the system uses computational algorithms to analyze images, identify metallic objects, and determine appropriate rendering parameters, thereby increasing utilization while maintaining ease of use.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If an automated object detection routine is implemented to identify metallic objects, then utilization of metallic toner or ink increases, but system complexity increases due to AI-based detection and multiple processing options

Engineering Contradiction:
Improveutilization of metallic toner or inkVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by detecting and classifying metallic objects before the actual printing process. The object detection routine analyzes images in advance, identifies suitable candidates for metallic rendering, and prepares rendering options, thereby increasing utilization while managing complexity through structured pre-processing.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary layer between the customer and the printing process. The object detection routine and rendering engine act as intermediaries that automatically handle the complex tasks of object identification and metallic rendering decision-making, allowing customers to benefit from increased utilization without directly engaging with the complex technical processes.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Ease of operation

If multiple printing options are presented to users including edit and reject functions, then customer satisfaction and control improve, but processing time and system complexity increase

Engineering Contradiction:
Improveuser control and satisfactionVSAvoidprocessing time
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system implements partial action by providing selective levels of user involvement. Customers can choose to accept automatic rendering decisions, edit specific objects, or reject and reprint, allowing them to invest time only when necessary. This approach maintains ease of operation for satisfied users while providing control options for those who need customization.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system segments the printing process into distinct stages: automatic detection, rendering generation, user review, and final printing. This segmentation allows users to intervene only at the review stage if needed, rather than being involved in every aspect of the process, thereby balancing user control with efficient processing time.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20240303009A1System and method for improved print rendering using metallic object detection techniques on input images
Publication Date: 2024.09.12 XEROX CORP
  • US20240303009A1 patent drawing
  • US20240303009A1 patent drawing
  • US20240303009A1 patent drawing

AI summary

A system and method are provided wherein, in at least one form, artificial intelligence is used to identify objects in a document to be considered for metallic rendering or printing on a substrate. Then, the options for printing, including the considerations for rendering in metallic toner or ink, are, in at least one form, presented to the user for acceptance or rejection before the actual printing is initiated.