XGRIDS Lixel Kity K1 Workflow

This technical deployment resource introduces the core operational workflow required to collect, optimize, and process a centimeter-accurate SLAM LiDAR point cloud using the mobile XGRIDS Lixel Kity K1 terrestrial scanner. The compact K1 scanning platform is specifically engineered to excel in complex, dynamic, indoor, or hard-to-access job sites where rapid spatial data acquisition and immediate 3D modeling are crucial project prerequisites.

App Connection & Interface

The K1 scanner provides multiple operational configurations. Operators can control the physical system hardware using the on-board physical action buttons or pair a mobile smartphone accessory to interact with a comprehensive graphical user interface (GUI). App communication channels can be bridged using a wireless mobile hotspot profile or by linking a dedicated interface cable directly. If you have connected to your specific K1 scanner unit in a prior session, plugging the interface data cable establishes the receiver application connection path automatically; otherwise, tap the plus addition symbol and follow the on-screen configuration wizard prompts to link the devices.

From the main menu layout dashboard, field operators can interact with several core operational modules:

• Project Storage Manager: Explore and review logged raw structural data asset inventories kept on device files.
• USB Mass Storage Mode: Enable this software toggle to expose data files on local computer networks for immediate processing.
• System Settings Workspace: Adjust screen display properties, link up localized real-time network RTK base correction streams, and adjust diagnostic capture parameters.

Field Capture & Initialization

Tapping the Go button switches the mobile app workspace into the primary data collection view. Engaging the software record trigger prompts the application interface to explicitly ask for your target project classification framework before initiating hardware tracking systems.

To align internal inertial measurement components accurately, the K1 requires a mandatory 15-second static initialization sequence. Ensure the hardware remains perfectly motionless during this countdown window. Once completed, operators can walk smoothly through the target job site environment, monitoring the raw point cloud scan take shape in real time across the interactive viewport graphics canvas.

Point Cloud Optimization

Raw mobile mapping sweeps typically capture considerable ambient site noise or tracking artifacts (such as passing objects or parts of the field operator's body breaking the active sensor line of sight). To clean up these raw spatial datasets, transfer the complete raw capture folder out of your MicroSD card and launch the included Lixel Studio desktop engineering environment.

Initialize a new project folder layout to isolate your exports cleanly, and import your raw data file string to review the scene. To eliminate data errors automatically, leverage the built-in automated processing modules:

• Confirm your destination directory path routines and engage the Project Processing tool block. This algorithm carries out the calculation-heavy lifting to isolate structural geometry from structural noise.
• Apply secondary localized filter tools to fine-tune point tolerances and resolve body path artifact echoes.
• Once the progress verification bar fills solid, import your optimized processing calculations.

Denoising, Slicing & Export

With major noise remnants removed, slice out peripheral data boundaries using volume selection tools to isolate target assets and optimize database storage size rules. This yields a far more responsive layout file structure, enabling secondary desktop operations:

• Execute specialized post-processing scripts for localized Denoising, advanced element Smoothing, or strategic point cloud Resampling.
• Perform precise structural cuts or boundary cross-sections depending on what you require your finalized export file layer configuration to look like.
• Export clean data profiles out into native survey formats—such as standard LAS point files or high-density PLY meshes. These optimized assets are completely structured for advanced spatial data extrapolation within third-party engineering environments like PIX4Dsurvey.

Web-Based Model Visualization

Beyond standard coordinate generation workflows, K1 datasets integrate natively with advanced spatial modeling networks. You can upload files directly into the Lixel CyberColor (LCC) application universe to view point structures transformed instantly into realistic, navigable true-color models. The unified web infrastructure enables project team members to check annotations, isolate features, and run point-to-point geometric site measurements inside a standard web browser interface.