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High-precision, long-range handheld LiDAR scanner developed by Feima Robotics

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Slam200
handheld
lidar scanner

SLAM2000 is another innovative industry-level handheld laser scanner developed by Feima Robotics.

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Slam2000
handheld
lidar scanner

handheld lidar scanner

Feima X-1

Feima Intelligent Aerial Photogrammetry,Remote Sensing,
Inspection,Emergency Command and Logistics Transportation System

Feima x1

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designed for use in various hazardous working environments, including underground and gas mines

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Slam100
intrinsically safe
handheld
lidar scanner

slam100 intrinsically safe
slam100 handheld lidar scanner

Slam100
handheld
lidar scanner

SLAM100 is the first handheld mobile LiDAR scanner launched by China feima-Robotics Co., Ltd.

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DJI M350 RTK PAYLOAD

oblique payload
for dJI uAV platform

DP500 is a tilt photography module developed by Feima Robotics based on market demand, designed to adapt to the DJI UAV platform

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Feima UAV

Feima V500R

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Simple yet powerful

feima D2000s

Feima D2000S

One-stop high-precision operation platform based on high-performance rotor platform

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feima feima e2000s

Feima E2000S

Pegasus Intelligent Aerial Survey System
Focus on high-precision aerial survey and rebuild the real world

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SLAM100/slam2000 Data process (HandHeld Mode)

SLAM100 / SLAM2000 Raw Data

SLAM100:

The data collected by the SLAM 100 is stored on the device’s SD card, and the collected data packages are stored in a folder named “SN_XXXXX”. The raw data contains photo data, IMU file data, raster file data, laser file data, equipment calibration file etc. .

SLAM2000:

The data scanned by SLAM2000 will be saved in the onboard storage, and the collected data packages are stored in a folder named “SN_XXXXX”. The raw data contains Video data, IMU file data, raster file data, laser file data, equipment calibration file etc. .

Create Project

Click [New], set the project name and project path, the platform to select [Hand]

Click [Next], in the input path to select the folder where the original data, the software will automatically identify the data in the folder

Click [Finish] to complete the project creation.

Import GCP (Optinal)

If there are control points in the data, we need to import them before starting the project processing.

Right-click [Control Data] in the DataManager window, select [Add Data], importing the organized GCP into the software. The software supports local coordinate system and the projected coordinate system.

One-Click solve:

After creating the project , the easiest way to solve the data is use [one-click solve] button

In general, we can stick to the default parameters. If you want to colorize the point cloud, you can check the “Color Point Cloud” option. However, this will increase the processing time.

Once you click the [OK] button, the data processing starts immediately.

Basic project structure of slam100/slam2000

If you use the “one-click solve” method and select the “Color Point Cloud” option, the point cloud data will be saved in the “optimizer” folder and the “texture” folder. The “optimizer” folder contains the optimized point cloud, while the “texture” folder contains the colorized point cloud.

Add point cloud data to viewer

Once the data has been processed, we can add it to the viewer for observation

Data export

After confirming that the data is free of issues and suitable for production, we can export the data in LAS format.