Main products
CARTIER
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.
View details →
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.
View details →
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.
View details →
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.
View details →
Contact Information
Address: 4th Floor, North Building, No. 1 Factory, Zhengxin Science and Technology Park, No. 2 Gao Hua Road, Nanning City
