Low-Altitude Digital Intelligence Integrated Management Platform
Centered on low-altitude drone application technology, and built upon a self-developed digital platform foundation coupled with proprietary AI algorithms, this solution integrates multiple cutting-edge technologies—including IoT, AI, big data, and multi-modal sensing—to address critical challenges in interconnecting diverse protocols, data types, platforms, and spatial domains. It achieves deep integration and seamless collaboration among various intelligent entities such as application scenarios, AI algorithms, drones, robots, and surveillance systems, thereby constructing a comprehensive, all-domain, stereoscopic perception platform that features multi-dimensional data collection, intelligent analysis, unified scheduling, and coordinated response—all under a single, integrated digital and intelligent management network. This platform meets the diverse needs of applications including highway maintenance inspections, police intelligence gathering, law enforcement evidence collection, public security patrols, traffic emergency response, and disaster relief. Through innovative low-altitude applications, it continuously empowers a wide range of industries—including transportation, public security, emergency management, urban administration, agriculture and forestry, and power—enabling them to achieve greater efficiency and effectiveness.
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Wall-climbing intelligent industrial robot
This product is a new type of mobile, wall-climbing intelligent industrial robot that can strongly adhere to ferromagnetic metal surfaces and move freely and flexibly on both flat and curved surfaces at positive and negative angles. It is suitable for grinding, cleaning, washing, and painting surfaces such as secondary lining formwork supports, ships, chemical storage tanks, wind turbine towers, and other areas covered with stains, rust, paint flakes, and other adhering substances. Additionally, as a mobile robotic platform, it can be equipped with various end-effector tools—such as welding guns, cutting torches, and non-destructive testing devices—to expand its functionality into tasks including welding, cutting, non-destructive testing, and the handling of hazardous chemicals.
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A dynamic weighing system consists of sensors and an instrument equipped with data acquisition and analysis software. It is capable of measuring vehicle weight, axle count, wheelbase, speed, vehicle type, vehicle length, and other data while the vehicle is in normal motion. Dynamic weighing systems play a crucial role in areas such as road and bridge load monitoring, high-speed pre-inspection of overloads and overlimits, non-stop overweight management (non-site enforcement), traffic load monitoring, and traffic flow data collection.
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Video Displacement Monitoring System
The distributed integrated video-based displacement monitoring system captures the condition of structures by taking images, then uses passive targets in these images for identification and tracking, thereby calculating displacements or deformations and achieving round-the-clock monitoring of the structural health status. It is widely used for long-term static and dynamic displacement monitoring of structures such as bridges, slopes, tunnels, railways, dams, flood-control walls, mines, and buildings.
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Multifunctional Traffic Volume Survey System
The PuliDa multi-functional traffic survey system employs a combined radar-and-video device featuring dual LiDAR sensors to achieve multifunctional traffic flow surveys, supplemented by license plate recognition cameras. The traffic monitoring subsystem uses dual LiDAR sensors to collect vehicle contour data and other relevant information, coupled with high-definition video imaging from cameras. By leveraging artificial intelligence (AI) algorithms and fusion technologies, it performs identification and analysis to extract vehicle model data and speed information. Moreover, the system can capture video streams in real time, enabling accurate calculation of traffic volume data. Paired with a license plate recognition subsystem, the captured images and license plate information are integrated into the multi-functional traffic monitoring system. Through intelligent algorithms, vehicle models are matched, thereby meeting the needs of highway traffic surveys and road condition monitoring.
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AI-Based Rapid Disaster Identification and Alert System
The core of this system is an AI model recognition algorithm that integrates various technologies, including big data analytics, machine learning, computer vision, and sensor technology. By continuously optimizing the training model through online annotation of samples, the system achieves accurate and rapid identification of disasters and timely alerting.
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