Equipped with AI multi-target detection and tracking capabilities, it can intelligently recognize pedestrians and vehicles in the captured images and continuously lock and track any of them. The wide-angle and 30x hybrid zoom camera form a dual field of view combination, allowing for quick switching between global view and detail images.
Laser rangefinder can provide the distance and position coordinates of the observed target, assisting in fast and accurate positioning.
Adopting a small-sized spherical shape and a non orthogonal three-axis mechanical stabilizing structure, we strive to minimize the turning radius and wind resistance. The yaw axis can rotate continuously 360 ° xN.
Cooperate with GCU to support network, serial port, and S BUS control, compatible with private protocols and MAV Link protocols, facilitating secondary development.
By using the dual IMU complementary algorithm, combined with IMU temperature control and carrier inertial navigation data fusion, the image stabilization accuracy can reach ± 0.01 °, and the pod can still remain stable during severe maneuvers of the carrier.
Supports both upright and inverted installation, allowing for quick installation on various carrier platforms.
In conjunction with GCU and Dragonfly display and control software, real-time display of images can be achieved on the computer without the need for protocol integration, while also enabling control of the pod.
The customized QGC software can be paired with open-source flight controllers to achieve all the functions of the pod.
The screen supports OSD information such as latitude, longitude, and altitude in Rongjia. Photos support writing the coordinates of the shooting point EXIF information. Video streams support adding SE1
14~53 VDC wide voltage input
