Locomotive integration, man-machine driving
The vehicle directly controls the drone to provide a comfortable and safe driving and riding experience Support autonomous driving and remote control, switching between manned and unmanned modes
Multi-dimensional and cross-domain complement each other
Perfect integration of key technologies such as air-ground cross-domain collaboration and man-machine driving Integrate air-ground inspection tasks and path planning to achieve collaborative and autonomous flight
Fully automated operations improve inspection efficiency
Drone command system
The vehicle and aircraft end controls the drone to complete line patrol and modeling work, and the system automatically completes the task after editing the task route.
Single and dual machine switching operation
High-intensity inspection tasks with little manual participation
Integrate air-ground inspection tasks, path planning, decision-making and reasoning capabilities to achieve intelligent ecological monitoring and early warning
Ecological wings, refined and intelligent inspection
DJI Airport 2 is smaller in size, lighter in weight, large operating radius and long flight time Cooperate with Geely Radar's new energy pickup trucks to meet the inspection needs of wider power facilities and longer lines
AI helps air-ground perception, and no one assists decision-making
Automatically identify and warn monitoring problems, link drones to track and shoot, and provide important auxiliary information for decision-making.
5G is connected and can also be controlled offline
20 TOPS AI computing power, 4G, 5G wireless transmission, cloud-edge collaboration
The offline version of the shared driving control system can realize offline driving control and network recovery and supplementary transmission of operation data
Support national standard fast charging, environmentally friendly and convenient
Integrated charging, energy storage and discharge can charge drone airports while driving Meet large-scale ecological mobile monitoring needs
Various application scenarios
Unmanned system integration solutions to meet different needs
Inspection Monitoring Advance standby |
Self-driving unmanned vehicles are equipped with automatic nests to achieve fully unmanned automatic duty and automatic inspection in closed fields. When an unmanned vehicle is driving automatically according to the planned path, an abnormal situation is found, which can trigger the multi-rotor drone in the autonomous aircraft nest to carry out surrounding patrols. Combined with multiple fixed monitoring equipment deployed on site, it can carry out dead-angle inspection and monitoring. On-duty inspections are conducted 24 hours a day to improve the temporal and spatial density of patrol monitoring.
One-person driving a vehicle with an automatic machine nest for inspection along the line, starting the automatic machine nest at the designated point, and automatically flying and inspecting the aircraft according to the pre-planned route. Personnel do not need to operate drones in the car, only need to monitor. The drone will automatically return to charge and upload inspection results after completing its mission. The vehicle will continue to move to the next mission point, greatly reducing fuel consumption and time costs.
The pre-standby and emergency evidence-gathering modified vehicle is equipped with an automatic machine nest to reach the pre-standby point or conflict point. Feibo combines with KIteBeam to automatically carry out ground monitoring, shouting, flight inspection, and real-life three-dimensional real-life modeling to generate on-site multi-dimensional real-life model, which can mark surface physical information, people, vehicles, aircraft and passable areas and other information. Facilitate on-site command and control.
Support national standard fast charging, environmentally friendly and convenient
Integrated charging, energy storage and discharge can charge drone airports while driving to meet large-scale ecological mobile monitoring needs
Feibo R1 Feibo F1 Feibo G1 |
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