Core Technology

In-house core technologies

When installed on drones or robots, it gives them intelligence and manages their safety.

Autonomous driving
SLAM, path planning, collision avoidance, and 3D simultaneous control management
Inspection automation
AI, automatic POI generation technology, surveying

Mapping and
surveying

Map the specified
area

Outdoor facility
inspection

Inspect facilities within
the specified range

Indoor
monitoring

Inspect the
specified area

Various Usability

Diverse applicability

Integration with
drones enables

Creation and management of 3D structures

Integration with
robots enables

Creation and management of 3D structures

If carried by
a person

Automatic generation of 3D models

When installed in a fixed
location such as a crane

Real-time monitoring of construction sites

Cost Reduction

Cost reduction effect

Time reduction effect in inspections
with SIRIUS : Over 80%

  • Simultaneously control multiple drones/robots remotely for autonomous inspections and monitoring

Reduction in inspection personnel
with SIRIUS : Over 50%

  • No need for operators during inspections, and simultaneous use of multiple drones/robots
  • Automating inspections reduces the probability of inspection failures
    ※ Drone collision avoidance capability : 100%, Ground robot collision avoidance capability : 100% (Results of 20 test evaluations, certified test score report from an accredited institution)
Improve Quality

Improvement in inspection quality

Overcoming environmental constraints
Stable operation of drones and robots indoors and outdoors using rotary LiDAR SLAM technology
High-quality data
Capture high-quality data with seamless imaging at regular intervals (under bridges, tunnels, interiors of large factories, etc.)
※ End to End Translation Error: 0.128m, Average processing time: 0.016s (SLAM accuracy at the highest level domestically and internationally, test report from an accredited institution)

Inability to detect 0.3mm cracks due to
the acquisition of low-quality data not meeting legal standards

Due to the acquisition of high-quality data,
detection of cracks below 0.1mm is possible

Automation Function

Automated
management features

Inspection automation technology enables quick and accurate inspection of target facilities.

Damage to facilities is automatically analyzed using AI and managed on mobile devices.
By securing 100,000 sheets of data, precise facility damage such as cracks,
whitening, exposed rebar, and peeling can be confirmed.

※ Crack detection accuracy(mloU) = 0.847, Spalling detection accuracy(mAP) : 0.94
(World-class level, certified test score report from an accredited institution)
Introduction Inquiry

Inquiry about purchase and
introduction of dedicated equipment

Basic
Information

Weight
1.7kg
Communication
LTE
Voltage/current
24V / 7A
Operating temperature
-10℃ - 40℃
Compatibility
PX4 / ArduPilot
Mounting/
utilization
method
Drone / Ground Robot /
Handy (Handheld) /
Fixed (Stationary)
Utilization space
Indoor/outdoor
USBport
Yes
Storage capacity
512GB
Memory
32GB
Number of
simultaneous
controls
5 units (expandable)

Lidar and
Scanning

Mapping method
Rotating LiDAR SLAM
Maximum
detection range
100m
FOV
360 x 280

Camera/Gimbal
(Optional)

Camera
SONY A7R IV
Lens
SEC 85F187
FE 85mm F1.8
Sensor size
35.9 x 23.9
Resolution
9504 x 6336
Gimbal and
camera control
Available

Autonomous

Inspection
path generation
Facilities (such as bridges, tunnels, buildings etc.)
Pathfinding
(Navigation)
Available
collision
avoidance
Available
collision
prevention
Available
Landing error
less than 0.5 m

AI Detection

Segamentation

- mlOU
0.84
- Detection Speed
0.17s

Object Detection

- mAP
0.92
- Detection Speed
0.02s
Inquiry