XGRIDS Pro Guide™ / Module 10: Resources

10.5 Device Specifications

Complete hardware specifications for the Lixel L2 Pro, K1, and PortalCam, plus processing computer requirements for LixelStudio and LCC Studio.

Lixel L2 Pro

The L2 Pro ships in three configurations differentiated by LiDAR channel count and working range. The sensor, camera, accuracy, and physical specifications are identical across all three. The differences are scan speed and working range only.

L2 Pro 16/120

Channels: 16

Working range: 0.5 m to 120 m

Scan speed: 320,000 pts/s

Notes: Entry configuration. Sufficient for most AEC use cases with building heights under 120 m.

L2 Pro 32/120

Channels: 32

Working range: 0.5 m to 120 m

Scan speed: 640,000 pts/s

Notes: Higher point density than 16/120. Recommended configuration for most professional use. Best scan efficiency of the three models.

L2 Pro 32/300

Channels: 32

Working range: 0.5 m to 300 m

Scan speed: 640,000 pts/s

Notes: Extended range for tall structures and large outdoor environments. Better drift management than 120 m models at distance. Building height support up to approximately 180 m.

Specification L2 Pro
LiDAR
Sensor systemLiDAR + Visual + IMU (Multi-SLAM)
Laser classClass 1 / 905 nm
Field of view360° × 270°
Working range0.5 m to 120 m (16/120, 32/120)  |  0.5 m to 300 m (32/300)
Scan speed320,000 pts/s (16/120)  |  640,000 pts/s (32/120, 32/300)
Cameras
Panoramic cameras2 × 48 MP  |  FOV 190° × 190°  |  Focal length 2 mm  |  Aperture F/2.0  |  CMOS 1/2"  |  Max panoramic output 56 MP  |  Rolling shutter
Visual positioning camera1 × 1 MP  |  FOV 190° × 119°  |  Global shutter
Camera count3
Accuracy (Processed)
Relative accuracy (RMSE)1.0 cm or better (3σ rule)
Absolute accuracy (RMSE)3.0 cm or better (3σ rule) — with RTK or GCPs applied
Repeat accuracy (RMSE)2.0 cm or better (3σ rule)
Pitch/roll accuracy0.015° or better
SLAM drift at 100 m3 cm RMSE
Real-Time Output
Real-time accuracy (RMSE)3.0 cm (horizontal and vertical)
Real-time colored point cloudSupported
Real-time loop closure optimizationSupported
Processing modeReal-time and post-processing
Resume scanning from breakpointSupported
Hardware
Weight1.7 kg (without battery)
Dimensions180 mm × 130 mm × 400 mm
CasingAero grade aluminum
Storage1 TB SSD (internal, non-swappable)
Data interfaceUSB 3.1 Gen2
WirelessWiFi 802.11 a/b/g/n/ac (2.4 GHz, 5.2 GHz, 5.8 GHz)
Power and Environment
Power supplyFast-lock battery or external power
Battery capacity46.8 Wh  |  Charging input 100–240 V / 16.8 V 2.0 A output
Charging timeApproximately 2 hours
Operating time90 minutes per battery
Power consumptionLess than 30 W
Operating temperature−20°C to +50°C (−4°F to +122°F)
IP ratingIP54
RTK fusionSupported  |  Channels: BDS B1I/B2I/B3; GPS L1/L2/L5; GLONASS L1/L2; Galileo E1/E5a/E5b
Output Formats
Point cloud formats.las, .laz, .e57 (structured)  |  Point clouds with intensity and color, 360° images, trajectory
Field appLixelGO (iOS and Android)
Processing softwareLixelStudio (point cloud)  |  LCC Studio (3D Gaussian Splatting)

Storage planning for L2 Pro: The 1 TB internal SSD holds approximately 12 to 16 hours of raw scan data at 60 to 80 GB per hour of scanning. Offload data to a processing workstation after each project. The SSD is not swappable; the only offload method is USB 3.1 Gen2 data transfer in USB mode or via the LixelGO app.

Lixel K1

The K1 is a single-configuration device. It is lighter and more compact than the L2 Pro with a shorter working range and lower scan speed, optimized for single-building indoor coverage at the scale of several thousand square meters per battery charge.

Specification K1
LiDAR
Sensor systemLiDAR + Visual + IMU (Multi-SLAM)
Laser classClass 1 / 905 nm
Field of view360° × −7° to +52°
Working range0.1 m to 40 m
Scan speed200,000 pts/s
Cameras
Panoramic cameras2 × 48 MP  |  Rolling shutter
Visual positioning cameras1 MP  |  Visual-aided positioning
Camera count4
Accuracy (Processed)
Relative accuracy (RMSE)1.2 cm or better (3σ rule)
Absolute accuracy (RMSE)3.0 cm or better (3σ rule) — with RTK or GCPs applied
Repeat accuracy (RMSE)2.0 cm or better (3σ rule)
Pitch/roll accuracy0.015° or better
SLAM drift at 50 m3 cm RMSE
GCP spacing maximum50 m (vs. 100 m for L2 Pro)
Software Features
Real-time colored point cloudSupported
Real-time loop closure optimizationNot supported (post-processing only)
Processing modeReal-time and post-processing
Resume scanning from breakpointSupported
Hardware
Weight1 kg
CasingAluminum
StorageTF card 256 GB (swappable)
Data interfaceUSB 3.1 Gen2
WirelessWireless app connection
Power and Environment
Power supplyFast-lock battery
Battery capacity28.8 Wh
Operating time90 minutes per battery
Power consumptionLess than 20 W
Operating temperature−20°C to +50°C (−4°F to +122°F)
IP ratingIP54
RTK fusionSupported
Output Formats
Point cloud formats.las, .laz, .e57  |  Point clouds with intensity and color, 360° images, trajectory
Field appLixelGO (iOS and Android)
Processing softwareLixelStudio (point cloud)  |  LCC Studio (3D Gaussian Splatting, requires firmware 1.2.0+)

K1 storage is swappable but limited in capacity. The 256 GB TF card holds approximately 3 to 4 hours of raw scan data. Carry spare TF cards for full-day projects. Label each card with the session date and segment name before swapping to avoid confusion during processing.

PortalCam

The PortalCam uses a 96-channel LiDAR with full spherical coverage (360° × 360°) paired with four cameras optimized for close-range, high-fidelity indoor capture. It outputs 3D Gaussian Splat models through LCC Studio only. Point cloud output is not supported. It does not produce absolute georeferenced coordinates.

Specification PortalCam
LiDAR
Sensor systemLiDAR + Visual + IMU (Multi-SLAM)
Laser classClass 1 / 905 nm
LiDAR channels96
Field of view360° × −90° to +90° (full sphere)
Working range0.1 m to 30 m at 10% reflectivity  |  0.1 m to 60 m at 90% reflectivity
Scan speed850,000 pts/s
Cameras
Panoramic cameras2 × 12 MP  |  FOV 100° × 85°  |  Focal length 1.23 mm  |  Aperture F2.0  |  Rolling shutter
Front camera1 × 12 MP  |  FOV 100° × 85°  |  Focal length 3 mm  |  Aperture F2.0  |  Depth of field 0.5 m to infinity  |  Rolling shutter
Macro camera1 × 12 MP  |  FOV 100° × 85°  |  Focal length 3 mm  |  Aperture F2.0  |  Depth of field 0.27 m to 0.55 m  |  Rolling shutter
Total camera count4
Image formatJPG
Accuracy
Relative accuracy (RMSE)2 cm
Repeat accuracy (RMSE)5 cm
Absolute accuracyNot applicable. 3DGS output only. No georeferenced coordinate system.
Ranging error vs. laser rulerLess than 1% across test scenarios (internal test data, small to medium indoor scenes)
Hardware
Weight870 g (without tripod)
Dimensions130 mm × 90 mm × 77 mm
StorageeMMC 512 GB (internal)
Data interfaceUSB 3.0
WirelessWiFi 802.11 a/b/g/n/ac/ax  |  Bluetooth 5.2
App WiFi range20 m
Voltage7.2 V
Power and Environment
Power supplyFast-lock battery
Battery capacity23.4 Wh
Operating time60 minutes per battery
Charging time70 minutes (0% to 90%)  |  90 minutes (0% to 100%)
Charging temperature5°C to 30°C
Power consumptionLess than 19 W
Operating temperature−20°C to +45°C
IP ratingNot formally rated (see note below)
Output and Software
Output format.lcc, .ply  |  3D Gaussian Splat models only
Point cloud outputNot supported
Field appLCC Scan (iOS and Android)
Processing softwareLCC Studio only
Map Fusion supportSupported (LCC Studio V1.10.0 and later)
Aerial-Ground Fusion supportSupported (LCC Studio V1.10.0 and later)

IP rating note: The PortalCam IP rating is listed as TBD in the product comparison documentation. Do not expose the PortalCam to rain, high humidity, or dusty environments until an official rating is confirmed by XGRIDS. The L2 Pro and K1 are both rated IP54, confirmed in their respective user manuals.

Processing Computer Requirements

Both software pipelines are Windows only. Neither runs on macOS or Linux. AMD GPUs are completely unsupported in LCC Studio with no workaround. LixelStudio also requires an NVIDIA GPU. Build or purchase processing workstations accordingly.

LixelStudio

Point cloud processing  •  Free with hardware  •  Windows 10/11 only

OS Windows 10 or Windows 11 (64-bit)
CPU Min Intel Core i7 11th generation or AMD equivalent
Performance scales meaningfully from 6 to 8 cores (+30 to 40%).
CPU Rec Intel Core i9 12th generation or newer
GPU Min NVIDIA RTX 3060 (12 GB VRAM)
AMD GPUs are unsupported. NVIDIA only.
GPU Rec NVIDIA RTX 3070 or better
24 GB VRAM supports point clouds with 200 M+ points without decimation.
RAM Min 32 GB
Supports approximately 15 minutes of scan data. LixelStudio holds the entire scan trajectory in memory during SLAM optimization. At 2 GB per minute of scan, 32 GB is the floor — not a comfortable working configuration for most projects.
RAM Rec 64 GB (128 GB for scans over 30 minutes)
Budget approximately 2 GB RAM per minute of scan data as a planning guide. A 64 GB machine supports approximately 30 minutes per segment; 128 GB supports approximately 60 minutes.
Storage 1 TB SSD minimum
Processing workspace requires 2 to 3 times the raw data size. A 60 GB raw scan may require up to 180 GB of temp space during processing.
Install Drive Install to D: or another non-system drive
Installing to C: can cause permission conflicts with Windows system protection. The LixelStudio installer allows drive selection.
NVIDIA Driver Version 520.0 or later

LCC Studio

3D Gaussian Splatting  •  $2,500/year premium subscription  •  Windows 10/11 only

OS Windows 10 or Windows 11 Professional or Home
CPU Min Intel i7 8700K or AMD R7 1700X (2017 or newer recommended)
CPU Rec Intel i7 8700K or better
LCC Studio is GPU-dominant. CPU is not the primary bottleneck for standard single-scene processing.
GPU Min NVIDIA RTX 2080 Ti (11 GB VRAM) or RTX 3060 (12 GB VRAM)
AMD GPUs are completely unsupported. CUDA is mandatory. There is no workaround.
GPU Rec NVIDIA RTX 3090 (24 GB VRAM) or RTX 4090 (24 GB VRAM)
VRAM determines the quality ceiling: 11 to 12 GB supports 2 to 4 M Gaussian points; 24 GB supports 8 to 12 M Gaussian points. RTX 4090 processes 3 to 4 times faster than RTX 3060 for large datasets.
RAM 64 GB for scans up to 30 minutes  |  128 GB for scans up to 60 minutes
Processing more than 50% above the stable limit (e.g., 45 minutes on 64 GB) risks reconstruction failure. For large models with total scan length 150 minutes or more, 96 to 128 GB is required.
Processing Time Approximately 20 minutes of processing per 1 minute of scan data
At Medium Quality settings on the recommended configuration. High Quality settings increase processing time significantly.
NVIDIA Driver Version 520.0 or later

Map Fusion and Aerial-Ground Fusion: Additional Requirements

Map Fusion and Aerial-Ground Fusion in LCC Studio place substantially higher demands on the processing computer than single-scene reconstruction. The hardware listed below is required for these workflows. Running fusion on hardware below these thresholds results in out-of-memory failures and corrupted or incomplete fusion outputs.

Component
Map Fusion and Aerial-Ground Fusion Requirements
CPU
AMD Ryzen 9 9950X or equivalent 16-core processor or better. Multi-scene alignment and global optimization are CPU-intensive phases that do not scale the same way single-scene reconstruction does.
RAM
64 GB DDR5 minimum. 96 to 128 GB recommended for larger datasets. For total scan length exceeding 150 minutes across all segments, 128 GB is required to maintain stable processing.
GPU
NVIDIA RTX 3090 minimum. RTX 4090 or 4090D recommended for optimal performance. Server-class alternatives: V100 (16 GB), A10 (24 GB), A100 (48 GB).
Storage
NVMe SSD strongly recommended. NVMe drives are 15 to 25% faster than SATA SSDs for the large sequential reads that fusion processing requires. Ensure sufficient free space: budget the total uncompressed size of all segments plus 2 to 3 times that size for working files.

Specifications sourced from XGRIDS official product documentation. Verify against current documentation at xgrids.com for the latest hardware guidance.

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