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Model: KOOL Handheld 3D Laser Scanner
Features
Applications
Specification
Lightweight by Design, Ready for the Field
Weighing only 1.12 kg, KOOL brings high-performance 3D scanning into a compact handheld form.
The quick-release handgrip and 150-minute operating time support efficient mobile data capture across indoor and outdoor sites.

Ultra-Wide Field of View
With a 360° horizontal and 130° vertical field of view, KOOL captures rich spatial data as you move.
Its scanning range reaches up to 40 m on low-reflectivity targets and up to 100 m on high-reflectivity targets.

Real-Time Scanning Feedback
MapStar displays panoramic imagery, true-color point clouds and the scanning trajectory in real time,
allowing users to check coverage and data quality while working in the field.

High-Fidelity Point Cloud Colorization
Equipped with dual 12 MP cameras, KOOL produces high-fidelity colored point clouds that make scanned objects easier to recognize, inspect and present.

Reliable Centimeter-Level Accuracy
KOOL delivers relative accuracy of 1 cm or better, providing clean and reliable point-cloud geometry for measurement, drafting, modeling and inspection.

One-Click Automated Processing
AcuteLas Studio streamlines trajectory computation, point-cloud registration and result generation.
It supports Pure SLAM, GCP, PPK and RTK processing modes for different project requirements.

Industrial Plant Scanning and 3D Modeling
KOOL efficiently captures machinery, pipework and complex plant structures, providing accurate point clouds for as-built documentation, equipment layout, retrofit planning and 3D modeling.

Construction Sites and Underground Spaces
KOOL can rapidly document construction areas, basements, corridors and other GNSS-denied spaces,
supporting progress records, spatial verification and complete site documentation.

Earthwork and Stockpile Volume Calculation
Users can scan terrain and stockpiles with KOOL and calculate volumes in AcuteLas Studio, creating an efficient workflow from field data capture to earthwork results.

Architecture and As-Built Documentation
KOOL captures complete building and interior data for renovation, facility management and design.
Point clouds can be used to generate plans, elevations, sections and 3D models.

Heritage and Complex Architecture Documentation
KOOL records detailed geometry and color without physical contact, making it suitable for historic buildings, ornate interiors, restoration planning and digital archiving.

Immersive 3D Visualization
True-color point clouds can be transformed into mesh and Gaussian Splatting models for virtual tours, cultural display, design communication and project presentation.

| KOOL Handheld 3D Laser Scanner | Scan Range | 0.1-40m @10% reflectivity; 0.1-100m @90% reflectivity |
| FOV | 360°(H.)x130°(V.) optimized for data redundancy |
|
| Scanner Sensor |
Mixed solid-state laser with stable internal structure |
|
| Mapping Method |
SLAM, with realtime point cloud display |
|
| Process Mode | Realtime and post-process both | |
| Scan Rate | 200,000 pts/sec (equivalent to 1.2 million pts/sec resulted from non-repetitive scanning and exclusive vari-frequency tech) |
|
| Laser Class | Class-1 eye-safety | |
| Camera Lens | 2x 12MP |
|
| Fieldwork Control | MapStar |
|
| Data Process | AcuteLas Studio | |
| Accuracy Performance | ≤1cm relative accuracy | |
| Geo-referencing | Control points establishment for localization |
|
| Power Supply | Handgrip battery, 3,150mAh, 45.36Wh |
|
| Power Consumption | 23W | |
| Endurance | 150 min |
|
| Data Management |
TF card and Type-C |
|
| Memory Capacity |
128 GB, expandable |
|
| Ingress Protection |
IP5X | |
| Net Weight |
1.12 kg | |
| Dimension | 111x222x33 mm |
|
| Working Temperature | -20℃ to 45℃ |
|
| Storage Temperature |
-20℃ to 45℃ |
Note: 1. Non-repetitive scanning refers to the effective global covered point clouds in the even and random mode, and the line-spacing and blind spots from the conventional fixed laser beams would not exist. Therefore, it enjoys much fewer data gaps and better data integrity even in motion. 2. Optimized FOV directly results in much less repetitive scanning and fewer data gaps. When it comes with non-repetitive scanning, the point cloud data enjoys a much smaller size and faster processing. 3. All information herewith is subject to change without any prior notice.
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