Anew handheld reality capture instrument from XGrids, the Lixel K2, made its debut at 3DISE in Prague in early May. Together with the release of LixelStudio 4.0, the company is striving to set a new benchmark for engineering-grade point cloud data.
Weighing approximately 1.2kg, the Lixel K2 is a compact, lightweight scanner designed for extended field use without the complexity associated with traditional survey-grade equipment. Positioned as a portable solution for precision outputs and high-quality 3D Gaussian Splatting, it combines integrated cameras with Lidar technology to generate realistic, measurable 3D representations of the surrounding environment in real time. With a relative accuracy of up to 1cm and a point cloud density of less than 1cm, walls, openings, structures and objects are rendered with a high degree of sharpness and definition.
The device is aimed at professionals across a broad range of sectors, including surveying, construction, real estate, heritage documentation, inspection and volume measurement. Whether measuring a building interior, scanning a site or calculating stockpile volumes, the K2 is designed to deliver reliable data without requiring complex workflows or specialist processing knowledge.
During scanning, a colourized point cloud is visible in real time via the LixelGO app on a smartphone or tablet. This allows operators to verify data quality on the spot and address any gaps before leaving the site. Data is subsequently processed in LixelStudio and exported to all standard file formats.
LixelStudio 4.0, which is also compatible with the XGrids L2 Pro and K1 scanners, introduces significant algorithm upgrades across the processing pipeline. The result is cleaner point clouds, improved colour accuracy, stronger alignment and more stable mesh reconstruction.
Together, the Lixel K2 and LixelStudio 4.0 form an integrated workflow from capture to deliverable. With this release, XGrids is formalizing the concept of engineering-grade point clouds, producing data that is not just visually accurate, but also reliable enough for measurement, modelling and real-world decision-making.
