Metrontechlabs offers SLAM‑based 3D LiDAR sensors, including the METRON X and METRON X Pro, designed for portable, high‑accuracy mapping across construction, mining, forestry, and smart‑city applications.
Funding
Funding not disclosed
Founders
Product
Problem
Accurate 3D mapping of terrain, infrastructure, and underground spaces traditionally requires bulky, expensive LiDAR equipment and extensive post‑processing, limiting mobility and slowing survey workflows in construction, mining, forestry, and emergency response.
Solution
Metrontechlabs provides compact, SLAM‑based 3D LiDAR sensors—METRON X, METRON X Pro, and the backpack‑compatible METRON X Backpack—that generate high‑resolution point clouds in real time. The devices fuse SLAM algorithms with real‑time kinematic (RTK) corrections from the Survey of India CORS network to achieve centimeter‑level positioning without external base stations. Their lightweight form factor enables handheld or backpack deployment, allowing operators to capture accurate 3D data on‑site across diverse environments, from road corridors to underground mines. Data are streamed directly to a cloud or local workstation for immediate visualization, analysis, and integration with GIS or BIM platforms, reducing turnaround time and the need for costly post‑processing.
Target Audience
Primary customers are surveying firms, construction and mining companies, forestry and agricultural agencies, as well as emergency‑response teams that require fast, accurate 3D mapping in the field.
Features
- SLAM-driven 3D LiDAR delivering dense point clouds with real‑time mapping capability
- Integrated RTK correction via the Survey of India CORS network for centimeter‑level accuracy
- Portable hardware options: handheld METRON X, high‑performance METRON X Pro, and backpack‑mounted METRON X Backpack
- Immediate data export to cloud services or on‑premise workstations for GIS/BIM integration
- Low power consumption and rugged design suitable for outdoor, underground, and emergency‑response conditions
- Compatibility with standard geospatial file formats (e.g., LAS, LAZ, PCD) for seamless workflow adoption