AI Recognition Software

During autonomous flight, the drone performs real-time AI analysis on its live video stream, integrating data from a variety of sensors—including visible light, thermal infrared, and multispectral imagers. This capability is applicable across a wide range of industry scenarios, such as smart city management, environmental monitoring, fire early warning systems, security surveillance, factory inspections, traffic monitoring, inspections of wind turbine blades, communication base stations, and photovoltaic arrays, as well as land surveys, target drone management, and anti-drone radar calibration.
Leveraging a comprehensive repository of intelligent AI recognition algorithms, users can either customize specific algorithms to meet unique operational needs or select pre-existing algorithms from the repository that are tailored to their specific use cases. This enables the construction of a fully automated, end-to-end inspection and oversight system—eliminating the need for substantial human and material resource investment in routine monitoring tasks—while simultaneously and significantly boosting both inspection efficiency and the speed of issue resolution.
Aerial AI Inspection System

Drones are utilized to conduct patrol inspections of security zones along subway lines. Simultaneously, artificial intelligence technology is employed to analyze the captured imagery, automatically detecting safety hazards—specifically those involving mechanical construction activities—within these security zones and generating early warning alerts, thereby ensuring a secure environment along the subway corridors.


Cloud Platform
The platform comprises: a Security Zone Information Center, Equipment Management Center, AI Model Center, Inspection Task Center, Inspection Results Center, and Emergency Dispatch module.
It features capabilities such as flight path planning, task scheduling, AI model management, airfield equipment management, inspection report generation, and inspection incident review.