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KPT — Korea Positioning Technology
KPT — Korea Positioning Technology
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AI BASED SMARTPHONE LOCALIZATION

Continuous positioning. On your smartphone.

AI Based Smartphone Localization uses the built-in sensors of commercial smartphones and a supporting map database to estimate a user's position continuously, in real time, across outdoor and indoor environments.

Discuss Smartphone LocalizationWatch the Demo
Photorealistic concept of a smartphone displaying an indoor–outdoor route, surrounded by an AI network visualization
Phone sensorsAI positioningMap context
Concept illustration · Watch the product demo below

FROM MOVEMENT TO LOCATION

Every step. A connected story.

Follow a smartphone from the outdoor plaza into a building — while viewing the screen, taking a call, or carrying it with a natural arm swing. Explore how sensor data, AI and map context come together as one continuous trajectory.

A continuous journey
INTERACTIVE ILLUSTRATION

Three ways to carry your phone.

Select a posture to explore

View screen

Held in front of the body while looking at the screen.

A walk begins outside.

The phone moves with its user. Built-in sensors supply the measurements used by the positioning system.

Sensor stream

01

Illustrative sensor signals change with the phone’s carrying posture.

AI estimation

02

An AI model interprets sensor data to estimate position.

Location trajectory

03

Continuous location updates, placed in their map context.

Map database/Spatial context across outdoor and indoor environments.

Concept illustration with simulated movement and signals. See the video demo for the actual system.

SMARTPHONE SENSING

Positioning intelligence on hardware you already carry.

Like the KAILOS Neural Engine, this system uses an AI model to estimate position from sensor data. It brings that principle to the built-in hardware of commercially available smartphones.

As a person walks with a phone, its sensors provide a stream of measurements. The AI model interprets that data to estimate position over time, turning everyday movement into a continuous location trajectory.

Explore KAILOS Neural Engine

From sensing to location

  1. Smartphone sensor data
  2. AI model
  3. Estimated position
Sensor data from commercial smartphones is interpreted by an AI model to estimate the user's position.

INDOOR–OUTDOOR CONTINUITY

A continuous location across the doorway.

A map database supports the AI-based positioning system as the user moves between outdoor spaces and indoor environments. Together, sensor data, AI models and map information enable continuous, real-time location updates.

The map provides the spatial context for the location estimate. The result is a trajectory that can be followed across the transition from an outdoor space to a building interior.

Map-supported continuity

OUTDOORINDOOR
A supporting map database helps maintain continuous, real-time positioning across outdoor and indoor environments.

CAPABILITIES

Smartphone sensors. AI models. Map support.

Commercial smartphone hardware

Uses sensors already built into commercial smartphones.

AI-based position estimation

Applies an AI model to sensor data to estimate the user's position.

Map-supported continuity

A map database supports continuous positioning across outdoor and indoor environments.

VIDEOS

See Smartphone Localization in action

All videos

Bring continuous positioning to your smartphone application.

Talk to KPT about your smartphones, map coverage and indoor–outdoor positioning requirements.

Talk to Our Team