RF-Optical Hybrid Tracking for Indoor Navigation

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Solution Overview

Problem

Shoppers often face frustration due to difficulty in locating items within stores, leading to inefficient navigation and retracing steps while searching for items on their shopping list.

Innovation Solution

A system combining radiofrequency (RF) technology and optical imaging to track individuals within a building, using RF nodes and cameras to identify and assign RF-transmitting devices to individuals, providing personalized navigation by determining routes based on shopping lists and displaying them on mobile devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If RF nodes and optical devices are deployed to track and identify individuals, then navigation accuracy and shopping efficiency are improved, but device complexity and system cost increase

Engineering Contradiction:
Improveshopping efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system divides the tracking function into two independent modules: RF nodes for initial identification and optical devices for continuous tracking. This segmentation allows each module to specialize in its strength while reducing overall system complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system merges RF technology and optical imaging technology into a unified tracking framework, where RF nodes provide initial identification and optical devices provide continuous visual tracking, creating a hybrid system that leverages the advantages of both technologies.

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If multiple RF nodes and optical devices are installed throughout the building to improve tracking accuracy, then location precision is improved, but installation cost and system complexity increase

Engineering Contradiction:
Improvelocation accuracyVSAvoidinstallation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system transitions from purely RF-based tracking to a hybrid RF-optical approach, adding the visual dimension to enhance location accuracy. Optical devices provide spatial context and visual confirmation that complements RF signal data.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The optical devices serve as intermediaries that bridge the gap between RF signal reception and precise location determination. By capturing images and detecting orientation markers, optical devices provide additional reference points that improve location accuracy without requiring dense RF node deployment.

Inventive Principle:
Principle #24Intermediary (Mediator)

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

Enables efficient navigation by accurately tracking individuals and guiding them to desired items, improving the shopping experience by reducing search time and effort.

Implementation Method 1

The at least one RF node has an RF receiver to receive RF signals from RF-transmitting devices near the entrance to the building

Methodology Applied
Scientific EffectRadiofrequency signal transmission and reception: Electromagnetic Induction

Implementation Method 2

At least one optical device disposed near the entrance to the building, the at least one optical device capturing an image of a plurality of persons

Methodology Applied
Scientific EffectOptical imaging: Photography

Data Source

PatentUS20240027195A1System and method of personalized navigation inside a business enterprise
Publication Date: 2024.01.25 POSITION IMAGING INC
  • US20240027195A1 patent drawing
  • US20240027195A1 patent drawing
  • US20240027195A1 patent drawing

AI summary

Systems and methods for tracking movement of individuals through a building receive, by one or more RF nodes disposed near an entrance to the building, RF signals from RF-transmitting mobile devices carried by persons near the entrance, capture an image of the persons while they are near the entrance, determine an identity and relative distance of each RF-transmitting mobile device from each RF node based on information associated with the RF signals received by that RF node, detect humans in the image, determine a relative depth of each human in the image, and assign the identity of each RF-transmitting mobile device to one of the humans detected in the image based on the relative distance of each RF-transmitting mobile device from each RF node and the relative depth of each human in the image, thereby identifying each individual who to be tracked optically as that individual moves throughout the building.