The DFOS-based infrastructure safety solution is

an integrated monitoring system that utilizes distributed fiber optic sensors to detect anomalies such as vibration, temperature, and strain in real time. It is linked with an AI video analysis system to identify and respond to potential hazards at an early stage.


It can be applied to a wide range of infrastructures such as roads, tunnels, bridges, pipelines, and industrial complexes. The system automatically detects various risk factors—including intrusion, flooding, cracking, leakage, and displacement—enhancing infrastructure stability and maintenance efficiency.

01 Udas-A (DAS)


Data Output Items
Vibration / Acoustic

Sensing Distance

20km

Optical Wavelength

1550nm

Sensor Fiber Type

Single-Mode Fiber (SMF)

Optical Pulse Rate

1, 2, 2.5, 10, 20 (kHz)

Frequency Range

10 (kHz)

Spatial Resolution

1, 2, 5, 10 (m)

Housing

19-inch rack mount, 2U

Optical Connector

E2000/APC

Input Voltage

220VAC (50/60Hz)

Operating

Temperature Range

0 ~ 50 (℃)

02 Udas-ST (DSTS)


Data Output Items
Strain Difference / Temperature

Sensing Distance

50km

Optical Wavelength

1550nm

Sensor Fiber Type

Single-Mode Fiber (SMF)

Optical Pulse Rate

1, 2, 2.5, 10, 20 (kHz)

Output Spatial

Sampling Interval

1.25, 2.5, 5, 10, 20, 40 (m)

Sensing

Temperature Range

-200℃ ~ +800℃ (varies by cable material)

Minimum Detectable Strain Resolution

20µε

Housing

19-inch rack mount, 2U

Optical Connector

E2000/APC

Input Voltage

220VAC (50/60Hz)

Operating

Temperature Range

0 - 50 (℃)

03

DFOS Analysis Server

(Distributed Fiber Optic Sensing)


DFOS Signal Analysis
Application-specific signal analysis and anomaly detection algorithms

Event

Detection

Crowd density, perimeter intrusion, pipeline leakage, real-time temperature/strain monitoring

Functions

- Configuration and control of DFOS instruments (Udas-A, Udas-ST)
- Real-time trace and waterfall charts for acoustic, temperature, and strain signals
- Event configuration and mapping by optical cable section
- GPS map-based event visualization
- Real-time data storage and playback
- Event history storage and search

Update Rate

(DAS) 0.5ms~, (DSTS) 15s~

Platform

Windows, .NET Framework 4.7 or higher

Applications

Wide-area monitoring (landslides, embankments, structures, pipelines, perimeter intrusion, etc.)

04 AI Video Analysis Server


Object
Detection
Object detection based on RGB/IR video (humans, vehicles, animals, etc.)

Crowd

Counting

Head counting and crowd estimation models

Video

Control

Supports region setting within video and real-time video streaming

Event

Detection

Crowd congestion, perimeter intrusion, loitering, falling, drowning, etc.

Functions

GPS map-based event visualization and black box functionality

Supported

Streaming

Resolution

1920*1080

Video

Channels

16 channels (expandable)

Platform

Windows/Linux, Web-based client support

Applications

Disaster safety, smart cities, industrial complexes, airports, and high-security facilities

Additional

Features

- GS Certification Grade 1
- Multi-channel real-time streaming (H.264 / MJPEG)
- RTSP server–compatible video streaming

DFOS Technology Applications

Wide-Area Perimeter System

An optical sensing system for intrusion detection and anomaly monitoring, applicable to defense, disaster safety, and critical facility protection sectors requiring real-time surveillance in wide or rugged areas.

Wide-Area Fire Monitoring

A monitoring system that installs optical cables in power tunnels, parking facilities, and similar environments to detect temperature rises and abnormal sounds, enabling real-time response to fires or explosions through integration with CCTV systems.

Landslide and Embankment Collapse Prediction

A disaster prevention monitoring system that installs optical sensors in landslide- and embankment-prone areas to detect ground vibration, acoustic signals, and temperature changes in real time, enabling early prediction and warning.

Structural Deformation and Collapse Monitoring

A structural safety monitoring system that installs optical cables inside and outside tunnels or buildings to detect signs of collapse, acoustic signals, and temperature changes, enabling early prediction of fires, leaks, and other hazards.

Pipeline Monitoring

A monitoring solution that installs fiber optic sensors on the outer surface of pipelines—such as water, gas, and subsea lines—to detect leaks and external impacts in real time.

Sinkhole Monitoring

An underground safety monitoring system that embeds optical cables around roads and buildings to detect subtle ground deformations, cavity formations, leaks, and vibrations in real time.

The DFOS-based infrastructure safety solution is

an integrated monitoring system that utilizes distributed fiber optic sensors to detect anomalies such as vibration, temperature, and strain in real time. It is linked with an AI video analysis system to identify and respond to potential hazards at an early stage.



It can be applied to a wide range of infrastructures such as roads, tunnels, bridges, pipelines, and industrial complexes. The system automatically detects various risk factors—including intrusion, flooding, cracking, leakage, and displacement—enhancing infrastructure stability and maintenance efficiency.





01

Udas-A (DAS)


Data Output ItemsVibration / AcousticSensing Distance20km
Sensor Fiber TypeSingle-Mode Fiber (SMF)Optical Wavelength1550nm
Optical Pulse Rate1, 2, 2.5, 10, 20 (kHz)Frequency Range10 (kHz)
Spatial Resolution1, 2, 5, 10 (m)Optical ConnectorE2000/APC
Housing19-inch rack mount, 2UOperating Temperature Range0 - 50 (℃)
Input Voltage220VAC (50/60Hz)

02

Udas-ST (DSTS)


Data Output ItemsStrain Difference / TemperatureSensing Distance50km
Sensor Fiber TypeSingle-Mode Fiber (SMF)Optical Wavelength1550nm
Optical Pulse Rate1, 2, 2.5, 10, 20 (kHz)Optical ConnectorE2000/APC
Output Spatial Sampling Interval1.25, 2.5, 5, 10, 20, 40 (m)Minimum Detectable Strain Resolution20 µε
Sensing Temperature Range-200°C to +800°C
(varies by cable material)
Input Voltage220 VAC
(50/60 Hz)
Housing19-inch rack mount, 3UOperating Temperature Range
0 – 50 °C

03

DFOS Analysis Server (Distributed Fiber Optic Sensing) 


DFOS Signal Analysis
Application-specific signal analysis and anomaly detection algorithms

Event Detection

Crowd density, perimeter intrusion, pipeline leakage, real-time temperature/strain monitoring

Functions

- Configuration and control of DFOS instruments (Udas-A, Udas-ST)
- Real-time trace and waterfall charts for acoustic, temperature, and strain signals
- Event configuration and mapping by optical cable section
- GPS map-based event visualization
- Real-time data storage and playback
- Event history storage and search

Update Rate

(DAS) from 0.5 ms / (DSTS) from 15 s

Platform

Windows, .NET Framework 4.7 or higher

Applications

Wide-area monitoring (landslides, embankments, structures, pipelines, perimeter intrusion, etc.)

04

AI Video Analysis Server


Object Detection
Object detection based on RGB/IR video (humans, vehicles, animals, etc.)

Crowd Counting

Head counting and crowd estimation models

Video Control

Supports region setting within video and real-time video streaming

Event Detection

Crowd congestion, perimeter intrusion, loitering, falling, drowning, etc.

Functions

GPS map-based event visualization and black box functionality

Supported Streaming Resolution

1920×1080

Video Channels

16 channels (expandable)

Platform

Windows/Linux, Web-based client support

Applications

Disaster safety, smart cities, industrial complexes, airports, and high-security facilities

Additional Features


- GS Certification Grade 1
- Multi-channel real-time streaming (H.264 / MJPEG)
- RTSP server–compatible video streaming
DFOS Technology Applications

Wide-Area Perimeter System

An optical sensing system for intrusion detection and anomaly monitoring, applicable to defense, disaster safety, and critical facility protection sectors requiring real-time surveillance in wide or rugged areas.

Landslide and Embankment Collapse Prediction

A disaster prevention monitoring system that installs optical sensors in landslide- and embankment-prone areas to detect ground vibration, acoustic signals, and temperature changes in real time, enabling early prediction and warning.

Pipeline

Monitoring

A monitoring solution that installs fiber optic sensors on the outer surface of pipelines—such as water, gas, and subsea lines—to detect leaks and external impacts in real time.

Structural Deformation and Collapse Monitoring

A structural safety monitoring system that installs optical cables inside and outside tunnels or buildings to detect signs of collapse, acoustic signals, and temperature changes, enabling early prediction of fires, leaks, and other hazards.

Wide-Area Fire Monitoring

A monitoring system that installs optical cables in power tunnels, parking facilities, and similar environments to detect temperature rises and abnormal sounds, enabling real-time response to fires or explosions through integration with CCTV systems.

Sinkhole

Monitoring

An underground safety monitoring system that embeds optical cables around roads and buildings to detect subtle ground deformations, cavity formations, leaks, and vibrations in real time.


Headquarters R&D Center

#506, The First Tower, 10 Dongtandaero 21-gil, Yeongcheon-dong, Hwaseong-si, Gyeonggi-do


Factory

#510, The First Tower, 10 Dongtandaero 21-gil, Yeongcheon-dong, Hwaseong-si, Gyeonggi-do


2nd R&D - Yonsei University 

Room 212-A-2, Engineering Hall, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul


3rd R&D - KAIST Mobility Center

Room 207(208), 2F, 6 Cheomdansandan 5-gil, Hongbuk-eup, Hongseong-gun, Chungcheongnam-do




Headquarters R&D Center

#506, The First Tower, 10 Dongtandaero 21-gil, Yeongcheon-dong, Hwaseong-si, Gyeonggi-do


Factory

#510, The First Tower, 10 Dongtandaero 21-gil, Yeongcheon-dong, Hwaseong-si, Gyeonggi-do


2nd R&D - Yonsei University 

Room 212-A-2, Engineering Hall, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul


3rd R&D - KAIST Mobility Center

Room 207(208), 2F, 6 Cheomdansandan 5-gil, Hongbuk-eup, Hongseong-gun, Chungcheongnam-do