Portable lidar scanner producer 2025: 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 additional info on slam scanner.
Reducing Costs for Small-Scale Projects – For short-duration or localized surveys, handheld LiDAR may offer a more cost-effective solution compared to drone systems, which involve higher equipment, maintenance, and training costs. A Flexible Choice for Diverse Field Applications – When drones are not suitable due to environment, precision, response time, or regulatory reasons, handheld LiDAR systems provide a reliable alternative. They continue to expand their presence across industries as demand for mobile, accurate 3D scanning grows.
The expansion of global manufacturing and the transition to smart factories highlight the need for humanoid robots. Factors such as labor shortages, rising costs, advancements in AI, and shifting market demands drive adoption. Core capabilities, including visual recognition, voice interaction, and precise handling, are essential for robots to operate in complex industrial environments. High-demand sectors like automotive and electronics manufacturing benefit from humanoid robots in assembly, sorting, inspection, and maintenance tasks. These robots offer solutions to labor-intensive, hazardous, or repetitive processes while addressing automation gaps in specialized 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 additional info on https://www.foxtechrobotics.com/.
Heritage Building Scanning in Ximen Old Street, Yiwu, Zhejiang (Handheld + Aerial Mode) – According to user requirements, a historical building was scanned using both aerial and handheld modes, resulting in a complete dataset of the heritage structure. Highway Bridge Facade Scanning in Zhejiang (Aerial Mode Only) – Data collection focused on evaluating bridge navigability. The measured area included both facades of a 1400-meter bridge section. Manual drone flights enabled full-scope scanning in a single mission, significantly improving efficiency. The data showed elevation accuracy better than 5 cm, supporting accurate navigability assessments.
Imagine this: you’re surveying a construction site. Instead of spending days with traditional tools, you can walk the site with a handheld scanner and capture all the data you need in a few hours. This frees up your team to focus on other critical tasks. Less downtime, more productivity. It’s a win-win. Here’s a breakdown of how handheld lidar boosts efficiency: Faster Data Collection: Capture data much quicker than traditional methods. We’re talking hours versus days in many cases. Reduced Fieldwork: Less time spent in the field means lower labor costs and fewer potential safety hazards. Streamlined Workflows: Data processing is faster and more automated, reducing bottlenecks. Real-time Data: Some scanners offer real-time data visualization, letting you make decisions on the spot.
Alexa Botez
Letitia Fernandez