Unmanned Aerial Vehicle (UAV) Al Inspection System integrates digital twin, AI and next-generation information and communication technologies to conduct comprehensive and automatic high-precision inspection of railways, power supply systems, bridges, tunnels, water affairs and government affairs, etc. This system significantly enhances inspection efficiency and quality, and reduces labor intensity and safety risks of manual inspections, realizing the change from reactive to predictive maintenance, as well as real-time coordination between fault identification and emergency response. It offers innovative solutions for the automatic and intelligent operation of rail transit and smart cities.
With the virtual cockpit function, operators can remotely control drones, issue commands, or execute missions, realizing flight monitoring, control, and real-time image analysis for rapid emergency communication and response.
The system automatically annotates the protection zone boundaries and displays them on maps, videos, and images, facilitating defect localization and subsequent operations.
Leveraging computer vision and machine learning algorithms, the system analyzes the image and video data captured by the drone to rapidly detect defects through image recognition and comparison, greatly improving the efficiency and accuracy of inspection data processing.
The system generates inspection analysis reports through data statistics and analysis, as well as image detection and evaluation, enabling closed-loop management of maintenance work orders.
