3D激光扫描仪

Search documents
手持激光雷达即可在线实时重建点云!超高性价比3D扫描仪来了~
自动驾驶之心· 2025-08-07 23:32
Core Viewpoint - The GeoScan S1 is presented as the most cost-effective 3D laser scanner in China, designed for various applications such as campus and indoor scene reconstruction, featuring lightweight design and user-friendly operation [1][7]. Group 1: Product Features - The GeoScan S1 offers centimeter-level precision in real-time 3D scene reconstruction using a multi-modal sensor fusion algorithm [1]. - It 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 scenes over 200,000 square meters [1][27]. - The device is equipped with a built-in Ubuntu system and various sensor devices, allowing for flexible power supply and integration with other equipment [3][10]. - It supports real-time mapping and high-precision modeling, with relative accuracy better than 3 cm and absolute accuracy better than 5 cm [20]. Group 2: User Experience - The device is designed for ease of use, allowing users to start scanning with a single button and export results without complex setups [5]. - It features a compact design with integrated sensors and expandable interfaces, enhancing hardware performance [10][36]. - The GeoScan S1 supports offline and online rendering, providing users with immediate visualization of scanning results [6]. Group 3: Market Positioning - The product is marketed at a competitive price, starting from 19,800 yuan for the basic version, with additional versions available to meet various needs [7][56]. - The company emphasizes its strong background and project validation through collaborations with academic institutions, showcasing its credibility in the industry [7]. Group 4: Application Scenarios - The GeoScan S1 is suitable for a wide range of environments, including office buildings, parking lots, industrial parks, tunnels, forests, and mines, effectively completing 3D scene mapping [36][45]. - It can be integrated with various platforms such as drones, unmanned vehicles, and robots, facilitating unmanned operations [42].
厘米级精度重建!最强性价比3D激光扫描仪~
自动驾驶之心· 2025-08-04 03:23
Core Viewpoint - The article introduces the GeoScan S1, a highly cost-effective 3D laser scanner designed for industrial and research applications, emphasizing its lightweight design, ease of use, and advanced features for real-time 3D scene reconstruction. Group 1: Product Features - The GeoScan S1 offers centimeter-level precision in 3D scene reconstruction using a multi-modal sensor fusion algorithm, capable of generating point clouds at a rate of 200,000 points per second and covering distances up to 70 meters [1][29]. - It supports scanning of large areas exceeding 200,000 square meters and can be equipped with a 3D Gaussian data collection module for high-fidelity scene restoration [1][30]. - The device is designed for easy operation with a one-button start feature, allowing users to quickly initiate scanning tasks without complex setups [5][42]. Group 2: Technical Specifications - The GeoScan S1 integrates various sensors, including a high-precision IMU and RTK, enabling it to handle complex indoor and outdoor environments effectively [34][46]. - It features a compact design with dimensions of 14.2cm x 9.5cm x 45cm and weighs 1.3kg without the battery, ensuring portability [22]. - The device operates on a power input range of 13.8V to 24V and has a battery capacity of 88.8Wh, providing approximately 3 to 4 hours of operational time [22][26]. 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 [9][57]. - The product is backed by extensive research and validation from teams at Tongji University and Northwestern Polytechnical University, enhancing its credibility in the industry [9][38]. - The scanner supports cross-platform integration, making it compatible with various unmanned platforms such as drones and robotic vehicles, facilitating automation in data collection [44][46].