Portable lidar scanner factory supplier today: We offer a variety of robot chassis, including tracked, wheeled, and Automated Guided Vehicle (AGV) platforms, suitable for industrial, security, and logistics applications. These chassis feature high payload capacity, all-terrain adaptability, and intelligent navigation systems, enabling efficient automation solutions. Our UGV Crawler Chassis offers robust all-terrain mobility for demanding applications. Designed for payloads ranging from 50kg to 120kg, these platforms are ideal for outdoor inspections, remote operations, and security tasks. Featuring advanced navigation and rugged track designs, they ensure stable performance on various terrains. Read more info on https://www.foxtechrobotics.com/integrated-joint-for-robot.

Monitoring Slope Stability and Structural Damage – Handheld LiDAR is useful in monitoring geohazards such as landslides and debris flows. It allows for the capture of detailed terrain models and post-event assessments, including building damage or ground deformation after natural disasters like earthquakes. Measuring Tree Metrics in Dense Forests – In forestry, handheld LiDAR systems can evaluate key parameters like tree height, trunk diameter, and canopy density. These measurements help in forest inventory management, resource planning, and ecological assessments.

Since the start of the year, the global competition in humanoid robotics has intensified. Videos showcasing robots dancing, flipping, and running have flooded social media, captivating audiences worldwide. While these feats highlight impressive technological breakthroughs, the true value of humanoid robots lies beyond entertainment. The Global Boom in Humanoid Robotics – Some argue that robots are now living the ideal lives of humans—dancing and running while we remain at work. However, the real question is: how close are we to seeing these robots solving practical challenges in industries?

In a coal bunker project, high-precision handheld SLAM equipment was used to scan the surface of material piles. The resulting point cloud was processed to reconstruct the 3D shape and calculate the stockpile volume. When paired with density values, the system could also compute total material weight. Two sets of tunnel scan data were collected using explosion-proof equipment for excavation deviation analysis. The following figures present sample data and report results (anonymized): Tunnel cross-section model, Over/under-excavation deviation report. Fully domestically developed: Core technologies are 100% local, ensuring data security and supply chain independence. Discover even more details at foxtechrobotics.com.

Handheld Mode: Lightweight (only 1.9kg including base and battery) with ergonomic design, supports one-hand operation, suitable for detailed tasks like facade surveying, underground garages, and cultural relic digitization. Equipped with two 12MP panoramic cameras, it synchronously captures high-precision colored point clouds and real texture data to generate centimeter-level accurate 3D models. Aerial Mode: Quickly connects to drones via quick-release interface and uses the drone’s power supply system, reducing payload weight. The main unit weighs only 1.4kg, equipped with two 12MP panoramic cameras, supports 300m ranging, and offers 360° full-range scanning. Maximum flight altitude reaches 120m. Application Scenarios: From Construction Surveying to Emergency Response – The dual-mode design of the SLAM200 demonstrates unique advantages across multiple fields.

Here’s how handheld lidar improves data quality: High-Density Point Clouds: Millions of data points create a rich and detailed 3D model. Millimeter Accuracy: Lidar scanners offer exceptional precision, ensuring accurate measurements. Reduced Human Error: Automated data capture minimizes the risk of mistakes associated with manual measurements. Comprehensive Data: Lidar captures everything in its field of view, including hard-to-reach areas. Calibration is crucial for maintaining accuracy. Regularly calibrate your scanner according to the manufacturer’s instructions. This ensures that your data is always reliable. Also, consider environmental factors like temperature and humidity, which can affect accuracy.