合作了一款高性价比3D扫描仪！

Core Viewpoint - The article introduces the GeoScan S1, a highly cost-effective handheld 3D laser scanner designed for industrial and research applications, emphasizing its advanced features and capabilities for real-time 3D scene reconstruction and mapping. Group 1: Product Features - GeoScan S1 offers a lightweight design with a one-button start for efficient 3D scanning solutions, achieving centimeter-level accuracy in real-time scene reconstruction [2][10]. - The device can generate point clouds at a rate of 200,000 points per second, with a maximum measurement distance of 70 meters and 360° coverage, supporting large-scale scanning over 200,000 square meters [2][30]. - It integrates multiple sensors, including a high-precision IMU and RTK, enabling high-accuracy mapping and data synchronization [35][39]. Group 2: Technical Specifications - The GeoScan S1 operates on an Ubuntu system and supports various data export formats, including .pcd and .las, with a relative accuracy of better than 3 cm and absolute accuracy of better than 5 cm [23][28]. - The device dimensions are 14.2 cm x 9.5 cm x 45 cm, weighing 1.3 kg without the battery and 1.9 kg with the battery, and it has a power input range of 13.8V to 24V [23][24]. - It features a battery capacity of 88.8 Wh, providing approximately 3 to 4 hours of operational time [23][27]. Group 3: Market Positioning - The GeoScan S1 is positioned as the most cost-effective handheld 3D laser scanner in the market, with a starting price of 19,800 yuan for the basic version [10][58]. - The product is backed by extensive research and validation from teams at Tongji University and Northwestern Polytechnical University, with over a hundred projects demonstrating its capabilities [10][39]. Group 4: Application Scenarios - The GeoScan S1 is suitable for various environments, including office buildings, parking lots, industrial parks, tunnels, forests, and mining sites, effectively constructing 3D scene maps in complex settings [39][47]. - It supports cross-platform integration, making it adaptable for use with drones, unmanned vehicles, and robotic systems for automated operations [45][47].