One-Dimensional Optical Sensor for Conveyor Jam Detection

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Solution Overview

Problem

Conveyor belt systems face challenges in detecting the motion of continuous or uniform objects, such as long rolls of paper, which can be difficult to distinguish from jammed states, often requiring direct human intervention or camera-based systems, and existing methods are inefficient and prone to false detections.

Innovation Solution

A non-contact motion detection system using a one-dimensional optical sensor that captures and compares pixel images over time, generating a frame differential image value to determine if objects are moving or jammed, with a processor-driven algorithm to analyze pixel signal strength and distance measurements, reducing hardware requirements and false alarms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a camera-based system is used to monitor object flow on the conveyor belt, then the ability to detect motion is improved, but the device complexity and cost increase

Engineering Contradiction:
Improvemotion detection capabilityVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the essential function needed for motion detection from a full camera system. Instead of using a two-dimensional camera array, it employs a one-dimensional optical sensor that captures only the necessary cross-sectional view of the conveyor belt, eliminating unnecessary hardware while maintaining detection capability

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system creates a simplified optical copy of the conveyor belt surface using a single-line array sensor. This one-dimensional representation captures sufficient motion information without requiring a complete three-dimensional visual copy that a camera would provide, reducing hardware complexity while preserving detection functionality

Inventive Principle:
Principle #26Copying

2Device complexity

If direct human observation is used to determine object flow, then the system complexity is reduced, but the productivity and reliability decrease due to manual intervention requirements

Engineering Contradiction:
Improvesystem complexityVSAvoidautomated monitoring efficiency
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The optical sensor system performs automated self-monitoring of the conveyor belt. The sensor continuously captures images and the processor automatically analyzes them to detect motion or jam conditions without requiring human intervention, enabling the system to monitor itself and report its own operational state

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of human observation with an optical sensing system. The one-dimensional optical sensor and image processing algorithm substitute for human eyes and brain analysis, providing automated detection while maintaining simplicity

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Device complexity

If a one-dimensional optical sensor is used instead of a camera system, then the hardware cost and complexity are reduced, but the ability to detect uniform objects may be compromised

Engineering Contradiction:
Improvehardware requirementsVSAvoiddetection accuracy for uniform objects
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The system performs preliminary image processing by comparing each captured image with a reference image of the conveyor belt. This preliminary comparison establishes a baseline and enables the detection of even subtle changes in the uniform pattern, allowing accurate detection of uniform objects with simplified hardware

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The sensor continuously captures images at regular intervals and performs periodic comparison with the reference image. This periodic sampling and comparison approach allows the system to detect motion in uniform objects by identifying changes over time, compensating for the limited spatial resolution of the one-dimensional sensor

Inventive Principle:
Principle #19Periodic action

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

The system effectively detects motion and jam states with minimal hardware, reducing false detections and easily identifying movement of uniform, light-colored, dark-colored, or multi-colored objects, providing a cost-competitive and economical solution for conveyor belt monitoring.

Implementation Method 1

A single optical imaging source, such as a one-dimensional sensor, may launch a linear optical beam that illuminates a target object being transported by a conveyor system and generate a detection signal as a function of a reflection of the linear optical beam off the target object

Methodology Applied
Scientific EffectReflection: Reflection

Implementation Method 2

A single optical imaging source, such as a one-dimensional sensor, may launch a linear optical beam that illuminates a target object and generate a detection signal as a function of a reflection of the linear optical beam off the target object

Methodology Applied
Scientific EffectPhotoelectric Effect: Photoelectric Effect

Data Source

PatentUS11854216B2Image-based jam detection
Publication Date: 2023.12.26 BANNER ENGINEERING CORP
  • US11854216B2 patent drawing
  • US11854216B2 patent drawing
  • US11854216B2 patent drawing

AI summary

Apparatus and associated methods relate to a method of non-contact motion detection. A one-dimensional optical sensor detects motion of a target or objects on a conveyor belt through a continuous measurement of targets or objects and a real-time comparison of the pixel images captured by the one-dimensional optical sensor. In an illustrative embodiment, a one-dimensional sensor may be configured to determine motion of objects based on changes to the captured intensities of pixel images over time. The sensor may continually capture photoelectric pixel images and compare a current pixel image with a previous pixel image to determine a frame differential image value. The frame differential image value is evaluated against a predetermined threshold over a predetermined time period. Based on the evaluation, a signal is output indicating whether the objects on the conveyor belt are moving or jammed.