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Feature

Core Features

  • SLAMTEC AI Deep Learning Engine
  • Provides real-time indoor and outdoor 3D mapping and positioning capabilities
  • 6DOF Spatial Localization: Delivers high-precision real-time position and attitude data
  • End-to-End Stereo Depth Estimation: Generates dense depth data in real time
  • AI Object Recognition and Segmentation: Produces real-time object segmentation maps
  • Expandable LiDAR: Supports higher-precision 2D mapping

Supporting Software & Development Resources

  • Equipped with Aurora Remote UI customized interaction software for scene reconstruction and digital twin implementation
  • Comprehensive Aurora Remote SDK available, supporting C++, ROS1/ROS2, and Python
    • Enables rapid secondary development, custom application building, and accelerated downstream product deployment

Feature Overview

  • AI Deep Learning vSLAM Engine
  • Integrated design with compact form factor
  • Out-of-the-box functionality with no external dependencies
  • Indoor/outdoor versatility with strong environmental adaptability

Specification

Core Parameter

Specific Specification

Maximum Mapping Area

>1,000,000 m²

Relocalization

Supports global relocalization, accuracy ±5cm

Map Management

Supports map continuation, loading and saving

Mapping & Localization Mode

Primarily based on deep learning vSLAM, compatible with LiDAR fusion

Multi-Sensor Synchronization Mechanism

Hardware time synchronization

Camera Specification

Binocular fisheye, 60mm baseline, FOV 180°, global shutter, RGB

Camera Frame Rate

Typical 15Hz, 10/30Hz customizable

Dense Depth Camera Function

Adopts end-to-end deep learning solution; supports strong light & weak texture scenarios; effective detection rate >90%

AI Object Recognition & Segmentation

Supports 18 outdoor scenes and 80 indoor scenes; expandable and customizable on demand

Maximum Tilt Angle (when LiDAR is equipped)

No requirement (to ensure 2D mapping effect, it is recommended not to exceed 30° tilt angle)

2D Map Resolution (when LiDAR is equipped)

Adjustable: 2cm/5cm/10cm

LiDAR Measurement Distance (when LiDAR is equipped)

Maximum measurement distance: 40m @70% reflectivity

Power Consumption

10W (typical value, excluding LiDAR)

Operating Temperature

-20°C ~ 50°C

Startup Temperature

≥0°C

Storage Temperature

-20°C ~ 60°C

Hardware Overview

No.

Category

Specification

Parameter/Description

1

Power Input

XT30PW-M

DC 9~24V

2

Power Input

USB Type-C

Supports USB PD3.0 protocol power input

3

Expansion Port

USB 3.1 Gen1

Supports OTG mode, compatible with Device/Host

4

I/O Port

SH1.0-6PWB

6-Pin external expansion port, used for LiDAR connection

5

Data Port

Ethernet RJ-45

Supports Gigabit Ethernet (1000BASE-T), full-duplex communication; default IP: 192.168.11.1

6

Operation Indicator

White LED

Used for device operation status indication

7

Status Indicator

Red/Green Bicolor LED

Used for device status indication

8

Reset Button

-

Press to power on; hold for 30 seconds to clear device configuration, then the device will restart automatically after configuration clearance

9

Storage Expansion

TF Card Slot

Supports TF card expansion, used for log storage

9

Storage Expansion

TF Card Slot

Supports TF card expansion, used for log storage

Application

Certification

HSCODE9031499000
USHSCODE9031499000
UPC
EUHSCODE9013101000
COOCHINA

Part List

 

Aurors S A2M2

x1

Adapter

x1

Accessory Kit

x1

SLAMTEC Aurora S,Integrated Spatial Perception Module

SKU 100035718

The Slamtec Aurora S is a next-generation compact AI-integrated spatial perception system launched by SLAMTEC. Integrating visual perception, inertial navigation, and SLAMTEC's self-developed AI deep learning vSLAM technology, it features high integration and plug-and-play functionality. Suitable for high-precision 3D mapping, perception, and spatial positioning across multiple indoor and outdoor scenarios, it can be widely applied in fields such as embodied intelligence, industrial automation, digital twins, and low-speed autonomous driving.

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USD$800.00
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