Shredder Feed Scanning for Unfit Material Exclusion

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Solution Overview

Problem

Existing shredding systems lack the ability to efficiently identify and exclude materials that are unfit for shredding, such as containers or high-density objects, which can cause damage to the shredder or pose safety risks.

Innovation Solution

A system incorporating a scanner that uses x-ray energy to generate images of objects on a conveyor, coupled with an image parser employing machine learning to identify unfit portions, and a controller to manage the shredding process, ensuring safe and efficient operation by adjusting conveyor and shredder operations based on the scanner's findings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional shredding systems process all materials without inspection, then productivity is maintained, but harmful factors increase due to damage risks from unfit materials

Engineering Contradiction:
Improveshredder safetyVSAvoidshredding throughput
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary inspection of materials using X-ray scanning and image parsing before they enter the shredder. This advance detection identifies unfit materials (containers, high-density objects) and allows the system to adjust operations or exclude problematic items before shredding begins, preventing damage while maintaining continuous processing of suitable materials

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

An intermediary inspection system comprising X-ray scanners, image parsers, and controllers is introduced between material input and the shredder. This intermediary layer analyzes materials and provides real-time feedback to adjust shredder operations, enabling the system to safely process fit materials while excluding or pre-treating unfit materials

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If a scanner system is added to inspect materials before shredding, then reliability improves by identifying unfit materials, but device complexity increases

Engineering Contradiction:
Improvematerial identification accuracyVSAvoidsystem structure
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The controller serves multiple functions: it receives and processes images from the scanner, parses images to identify unfit materials, determines appropriate actions, and controls both the conveyor and shredder operations. This multi-functionality consolidates what could be separate complex systems into a single coordinated controller, managing reliability improvements while controlling overall system complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements a feedback loop where the scanner continuously monitors materials, the image parser analyzes findings, and the controller adjusts conveyor speed or shredder operations based on real-time identification results. This automated feedback mechanism enables reliable material classification while using existing system components efficiently, reducing the need for additional complex hardware

Inventive Principle:
Principle #23Feedback

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 identifies and prevents the shredding of unfit materials, reducing the risk of damage to the shredder and ensuring safe operation by allowing for the exclusion or further inspection of such objects.

Implementation Method 1

A system incorporating a scanner that uses x-ray energy to generate images of objects on a conveyor

Methodology Applied
Scientific EffectX-ray: X-Ray

Data Source

PatentUS20260056144A1Shredder scanner
Publication Date: 2026.02.26 IND SERVICES SOLUTIONS
  • US20260056144A1 patent drawing
  • US20260056144A1 patent drawing
  • US20260056144A1 patent drawing

AI summary

A system may include a shredder and a conveyor to transport a shred object to the shredder. The system may include a scanner upstream of the shredder to generate an image of the shred object on the conveyor. The system may include an image parser to generate an indication of a portion of the shred object as unfit for shredding by parsing the image of the shred object based on an identifier model trained on a sample training data set. The system may include a controller in communication with: the image parser to receive the indication from the image parser; and at least one of the shredder, the conveyor, or a removal tool to provide, in response to the indication of the unfit portion of the shred object, an operational command to reduce a likelihood that the unfit portion of the shred object is processed by the shredder.