Smartphone LiDAR Mapping for Precise Lost IoT Device Location

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Solution Overview

Problem

Existing IoT devices are difficult to locate when misplaced or lost, as conventional tracking apps provide only general locations and audible alerts fail when the device is not connected to a power source, leading to a sub-optimal user experience.

Innovation Solution

A smartphone with 3D visualization capabilities using LiDAR and Bluetooth proximity sensing to create a 3D map of the environment, augmenting it with IoT device location, and utilizing machine learning to recognize and notify the user of the device's precise location relative to objects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional tracking apps are used to locate IoT devices, then general location information can be obtained, but the precision of location detection is insufficient and the device cannot be accurately located when concealed by objects

Engineering Contradiction:
Improvelocation detection precisionVSAvoidtracking system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent transitions from 2D map-based location tracking to 3D spatial visualization using LiDAR technology. The system captures depth information and creates three-dimensional representations of the environment, allowing precise localization of IoT devices in three-dimensional space rather than merely on a flat map, thereby significantly improving location detection precision

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

Solution Approach 2:

The patent introduces LiDAR as an intermediary sensing mechanism between the user and the IoT device. The LiDAR sensor emits light pulses and measures their reflection to create precise spatial maps, serving as a mediator that enables accurate device localization even when conventional GPS or network-based tracking fails due to signal obstruction

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If audible alerts are used to help locate misplaced IoT devices, then the device can be heard, but the alerts fail when the device is not connected to a power source

Engineering Contradiction:
Improvelocation method reliabilityVSAvoidIoT device energy consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

Instead of making the IoT device emit audible alerts (which requires power), the patent inverts the approach by using the smartphone's LiDAR sensor to actively scan and detect the device's location. The detection burden is shifted from the powered IoT device to the smartphone, allowing location of completely powerless devices through passive reflection-based sensing

Inventive Principle:
Principle #13The other way round (Inversion)

Solution Approach 2:

The system uses the smartphone's own LiDAR capabilities to locate the IoT device without requiring the device to provide active signals. The smartphone performs self-service detection by scanning the environment and identifying the device's position through spatial mapping, eliminating the need for the IoT device to consume energy for alerting

Inventive Principle:
Principle #25Self-service

3Measurement precision

If 3D visualization with LiDAR is used to locate IoT devices, then precise location can be achieved, but the device complexity increases

Engineering Contradiction:
Improvedevice location precisionVSAvoidsmartphone system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent leverages the smartphone's existing LiDAR sensor, which was originally designed for photography and general 3D scanning purposes, and repurposes it for IoT device location. This multi-functional use of the LiDAR system avoids adding dedicated specialized hardware, thereby improving precision without proportionally increasing device complexity

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

Solution Approach 2:

The patent combines multiple functions into a unified 3D visualization interface: environmental mapping, device detection, and location display are merged into a single augmented reality view. This integration allows the system to achieve precise location tracking while presenting all information through one cohesive interface, reducing the perceived complexity for the user

Inventive Principle:
Principle #5Merging (Combining)

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

Enhances the ability to accurately and visually locate misplaced IoT devices by providing a 3D map with precise positioning, overcoming the limitations of conventional tracking methods.

Implementation Method 1

A smartphone with 3D visualization capabilities using LiDAR

Methodology Applied
Scientific EffectLight detection and ranging (LiDAR): LIDAR

Implementation Method 2

capture a three-dimensional (3D) visualization of a physical environment

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 3

Bluetooth proximity sensing to create a 3D map of the environment, augmenting it with IoT device location

Methodology Applied
Scientific EffectBluetooth wireless signal propagation: Electromagnetic Induction

Data Source

PatentUS12422558B2Wireless handheld mobile device configured for location visualization of internet-of-things device
Publication Date: 2025.09.23 T MOBILE US INC
  • US12422558B2 patent drawing
  • US12422558B2 patent drawing
  • US12422558B2 patent drawing

AI summary

Systems, methods, and devices for improving the ability to detect the location of a misplaced or lost Internet-of-Things (IoT) device. A 3D visualization of a physical environment including the misplaced IoT device and one or more physical objects is captured using a visualization sensor in a handheld mobile device. An estimation of the distance between the IoT device and at least the handheld mobile device or one or more physical objects is determined. Using the estimated distance between the IoT device and at least the handheld mobile device or one or more physical objects, the 3D visualization is augmented with location data. In doing so, the handheld mobile device is able to display a mapping of the environment including an indication of the location of the IoT device in the 3D visualization, allowing a user to find the misplaced or lost IoT device.