Made for creating floor plans!
PICOSLAM is a compact SLAM-based LiDAR scanner, ideal for rapid floor plan creation. Equipped with a high-performance SLAM LiDAR system and an integrated computing unit,
enables the immediate export of floor plans in DXF format.
Mapping Area
300m x 300m
Up to 100.000 square meters
Scan Range
Detect objects from 10cm up to 40m
DXF Floor Plan
Export the Floor Plan immediately as DXF
Integrated SLAM
Speed
Lightweight
Data Processing Unit & LiDAR SLAM Sensor
The PicoSLAM system comprises two key components: a SLAM LiDAR sensor and a Data Processing Unit (DPU).
This setup ensures immediate and local data processing, maximizing system efficiency.
The system’s modular design allows for the LiDAR sensor and the DPU to be operated independently by two different individuals. This division of tasks enables a flexible and more effective workflow. Communication between the two units is facilitated by a reliable WiFi connection, ensuring seamless data transfer and coordination between the two operators, even over larger distances.
Easy & Fast Workflow!
DATA EXPORT
The data will be saved directly on the device while simultaneously converting it into DXF, PNG, and YAMBL formats. Data transfer is conveniently done via a USB stick, making it quickly and easily accessible on any computer for CAD applications. This functionality offers a practical solution for professionals in architecture, design, and real estate to seamlessly integrate accurate spatial data into their workflows.
At no point are the data processed in a cloud!
PICOSLAM represents user-friendliness and efficiency in digital space mapping.
Technical Details
Mapping Area |
300m x 300m (up to 100.000 square meter) |
Measuring Range |
0.1m – 40m |
Sample Rate |
9.2k |
Data Refresh Rate |
10Hz |
Max. Moving Speed |
2m/s |
Re-localization Accuracy |
< 0.02m |
Slope Angle |
±3° |
Resolution |
5cm |
Memory |
64 GB (changeable USB-Stick) |
Display |
4.3″ Capacitive Touch Display |
Battery |
External Powerbank |
Laser |
IEC-60825 Class 1 |
Graph Optimizing Working Time |
About 1 hour |