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With built-in multi-scenario templates and one-click cloud upload, Pocket2 quickly generates standardized deliverables for a wide range of applications, including interior measurement, forestry surveys, digital asset capture, and robot deployment. Whether for individual users, collaborative teams, or industry-scale projects, Pocket2 simplifies complex workflows into a single, standardized process, enabling faster execution and higher efficiency.
Multi-Modal Sensor Fusion
No training required - simply power on and scan. Pocket2 combines a global shutter camera, LiDAR, and IMU with the MindSLAM® algorithm to deliver stable odometry and real-time,high-precision colored point clouds, even in complex or dynamic environments.
One-Tap Cloud Sync & Multi-Device Collaboration
It connects seamlessly with your app and the cloud, automatically generates high-quality, lightweight 3D files. Data can be viewed, edited, and exported across devices, enabling real-time collaboration and accelerated project delivery.
Real-Time Point Cloud & Measurement
Pocket2 supports a true "scan and see”workflow, allowing instant detail refinement. This reduces sparse areas and occlusion blind spots while ensuring data completeness, accuracy, and usability for measurement and modeling.
Robotic Collaboration Ecosystem
More than a scanner! It is the entry point to the Manifold Techecosystem. Through deep integration with the Odin module, it feeds precise 3D environmental data into robotic systems, enabling advanced perception and autonomous decision-making.
MindCloud Go
Designed for seamless on-site data acquisition and real-time point cloud visualization.
・Flexible Acquisition Modes: Supports both RTK and GCP (Ground Control Point) modes for high-precision data collection.
・Versatile Rendering: Instantly switch between Intensity, Elevation, and True Color rendering modes.
・Adaptive Scanning: Toggle between Standard and Degraded
・Scanning modes to handle challenging environments.
・On-Device Management: Features local project
・storage and real-time point cloud preview.
MindCloud Studio
Designed for efficient point clouds computation and conversion.
・High-Speed Computation: Advanced algorithms ensure rapid processing and superior visualization.
・Extensive Format Support: Fully compatible with .las, .laz, .fbx, .e57, .pcd, .ply, and .obj.
・Simulation & Modeling: Exports USD (NVIDIA Omniverse) format; generates White and True Color Meshes.
・Precision Registration: Features manual tie-point selection and ICP fine registration.
・Seamless Stitching: One-click scan relay for automatic multi-station data merging.
・GCP Integration: Supports importing external control points for enhanced accuracy.
| General | |
| Relative Accuracy | ≤1 cm |
| Absolute Accuracy | ≤5 cm (Typical 3 cm) |
| Weight | 1275g(Battery:485g/Unit:790) |
| Dimensions | 115 ×113×120 mm |
| Battery Capacity | 44.4Wh(4000mAh) |
| Data Interface | Type C-USB 3.0 |
| Storage | Built-in SSD, 256 GB |
| Battery Life (Single Battery) | Ups to 120 minutes |
| Working Temperature | -10°C~ 40°C |
| Water/Dust Proof | IP56 |
| GCPs Collection | Supported |
| Phone Holder | Supported |
| Real-time Color Point Cloud | Supported |
| Visual-SLAM | Supported |
| LiDAR | |
| Class | Class 1/905 nm |
| Range | 0.1~40m@10% reflectivity; 0.1m~70m@80% reflectivity |
| Point Cloud Rate | 200,000 points/s |
| Point Cloud Thickness | ≤1 cm |
| LiDAR FOV | Horizontal 360°; Vertical 59° (-7° to +52°) |
| LiDAR Installation | Tilt 15° to the ground |
| Point Cloud Accuracy | Better than 1cm |
| Laser Channels | 40 channels |
| Point Rate | 200,000 points/sec |
| Camera | |
| Number of Cameras | 3 |
| Camera System | 3 × 2 MP RGB Cameras |
| Shutter Type | Global shutter |
| Image Size | 1600*1296 pixels |
| RTK(Optional) | |
| Supported Constellations | BDS B1l, B2I, B31, B1C, B2a,B2b GPS L1C/A, L2C, L2P(Y),L5 GLONASS G1, G2 Galileo E1,E5a,E5b,E6 QZSS L1C/A,L2C, L5 |
| Global Positioning Accuracy | Better than 5 cm Typical 3 cm |
| Software | |
| Point Cloud Format | .las, .laz, .fbx, .e57, .pcd, .ply, .obj |
| MindCloud Studio | Suppor .usd format export (NVIDIA Omniverse) for robotic simulationand training Generate grayscale and true-color mesh models Support external control point import |
| MindCloud Go(APP) | Annotation mode with label import and quick review workflow One-tap switching between intensity and true-color rendering modes One-click cloud upload for LAS and colored point cloud data |