Product Dimension Learning Estimator for Warehouse Inventory

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Solution Overview

Problem

In materials handling facilities, accurately determining the dimensions of items is challenging, leading to inefficiencies in storage and shipping, as well as increased costs due to inappropriate container selection and potential item damage, especially when dealing with diverse and changing inventory.

Innovation Solution

A computer-implemented method for estimating item dimensions based on the dimensions of containers and paths used in handling items, allowing for continuous refinement of these estimates as items are handled, and recommending suitable containers or paths for storage and transportation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If visual assessment method is used to determine item dimensions, then no additional measurement equipment is needed, but container selection accuracy deteriorates leading to higher costs and potential item damage

Engineering Contradiction:
Improvesimplicity of dimension determinationVSAvoidaccuracy of item dimension determination
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent replaces manual visual assessment with an automated image processing system that captures images of items and uses computer vision algorithms to automatically determine dimensions. This substitution of mechanical/manual measurement with optical/electronic systems resolves the contradiction by providing both automation (maintaining ease of operation) and improved measurement accuracy.

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

Solution Approach 2:

The patent creates a digital copy (image) of the physical item and extracts dimensional information from this copy rather than requiring direct physical measurement. This allows multiple items to be measured simultaneously from a single image, improving efficiency while maintaining or enhancing accuracy through automated analysis.

Inventive Principle:
Principle #26Copying

2Measurement precision

If manual measurement of each item is performed, then accurate dimensions can be obtained, but time consumption and labor costs increase significantly

Engineering Contradiction:
Improveaccuracy of item dimension determinationVSAvoidspeed of dimension determination
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent merges multiple measurement operations into a single image capture and processing step. By capturing an image containing multiple items and processing them together through automated algorithms, the system achieves accurate dimensions for all items simultaneously, resolving the contradiction between accuracy and productivity.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system enables items to be measured automatically without human intervention in the measurement process. The image processing algorithm autonomously identifies item boundaries, calculates dimensions, and outputs results, eliminating manual measurement labor while maintaining accuracy and significantly improving throughput.

Inventive Principle:
Principle #25Self-service

3Loss of energy

If inappropriate containers are selected based on inaccurate dimension information, then storage space may be wasted, but item damage risk increases and re-work costs increase

Engineering Contradiction:
Improvewaste of storage spaceVSAvoidrisk of item damage
Core Design Contradiction:
Loss of energyVSReliability

Solution Approach 1:

The patent implements a feedback mechanism where the automated dimension measurement system provides accurate size information to the container selection process. This feedback loop ensures that container choices are based on precise dimensional data, optimizing space utilization while preventing item damage through appropriate container matching, thus resolving the contradiction between space efficiency and reliability.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS8560406B1Product dimension learning estimator
Publication Date: 2013.10.15 AMAZON TECH INC
  • US8560406B1 patent drawing
  • US8560406B1 patent drawing
  • US8560406B1 patent drawing

AI summary

A computer-implemented method for automatically determining estimated item dimensions may facilitate operations of a materials handling facility when exact dimensions of items are not known. Such a method may involve determining dimensions of a container, portal, or dimensionally constrained path in which an instance of a given item is handled and determining estimated dimensions of the item dependent on dimensions of the container, portal, or path. In some embodiments, the method may include determining dimensions of a second container, portal, or path in which an instance of the item is handled and updating the estimated item dimensions dependent on the dimensions of the second container, portal, or path. In some embodiments, the method may include recommending a container, portal, or path suitable for storing or transporting one or more items dependent on the estimated dimensions. In some embodiments, the estimated dimensions may facilitate identifying items in an inventory area.