The XF D-80U Intelligent 4K Full-Color Night Vision Spherical Pod is a compact 3-axis mechanical gimbal camera pod designed for UAV and other carrier platforms. It integrates an 80x hybrid zoom 4K camera, AI-ISP full-color night vision imaging engine, advanced HDR, and AI multi-object detection and tracking, delivering stable, high-resolution day and night imaging with precise attitude control.
Key Features
80x hybrid zoom 4K camera (10x optical, 8x digital) for long-range, high-definition imaging.
AI-ISP full-color night vision imaging engine provides clear full-color images in low-light environments.
Advanced HDR ensures both highlight and shadow details remain visible under high-contrast lighting.
AI multi-object detection and tracking can intelligently detect people and vehicles in the image and continuously track any selected target.
Low-profile spherical pod with 3-axis nonorthogonal mechanical stabilization minimizes gimbal radius and wind resistance; yaw axis supports continuous 360-degree rotation.
Dual-IMU complementary algorithms with IMU temperature control and carrier AHRS fusion achieve stabilization accuracy of approximately +/-0.01°.
Supports network, UART and S.BUS control; compatible with both private protocol and MAVLink protocol.
Can be mounted in downward or upward orientation on multiple types of carriers.
Dragonfly software enables live viewing, pod control without protocol docking, and online download of photos and videos.
Customized QGC software allows full pod function control in conjunction with an open-source autopilot.
On-screen display (OSD) overlay: time, camera attitude, carrier coordinates, zoom rate, and storage status.
EXIF image metadata: time, camera attitude, carrier coordinates, and resolution. Live video stream and recording support SEI data saving (SEI to be enabled by subsequent firmware updates).
Wide 20 ~ 53 VDC power input range with average power consumption of 6.5 W.
For ordering, integration or technical support regarding the XF D-80U Intelligent 4K Full-Color Night Vision Spherical Pod, please contact the customer service team via https://rcdrone.top/ or email support@rcdrone.top.
3840 x 2160 @30fps (3840 x 2160 @30fps recording will be supported via subsequent firmware updates)
OSD content
Time, camera attitude, carrier coordinate, zoom rate, storage status
EXIF content
Time, camera attitude, carrier coordinate, resolution
SEI
Will be supported via subsequent firmware updates
Stream encode format
H.264, H.265
Stream network protocol
RTSP
Average Stream Delay & Frame Rate [4]
OSD / Target detection
Software
Average delay
Frame rate
OSD OFF & target detection OFF
Dragonfly
210 ms
30 fps
OSD OFF & target detection OFF
QGC
260 ms
30 fps
OSD ON & target detection OFF
Dragonfly
300 ms
30 fps
OSD ON & target detection OFF
QGC
330 ms
30 fps
OSD OFF & target detection ON
Dragonfly
370 ms
21 fps
OSD OFF & target detection ON
QGC
400 ms
21 fps
OSD ON & target detection ON
Dragonfly
530 ms
13 fps
OSD ON & target detection ON
QGC
600 ms
13 fps
Storage
Supported SD cards
Supports a U3/V30 or above MicroSD card with a capacity of up to 256 GB
Environment
Operating temperature
-20°C ~ 50°C
Storage temperature
-40°C ~ 60°C
Operating humidity
<=85% RH (non-condensing)
Notes
[1] Reference dimension of person: 1.8 x 0.5 m. Critical dimension under Johnson criteria is 0.75 m.
[2] Reference dimension of light vehicle: 4.2 x 1.8 m. Critical dimension under Johnson criteria is 2.3 m.
[3] Reference dimension of large vehicle: 6.0 x 4.0 m. Critical dimension under Johnson criteria is 4.9 m.
[4] Measured with the pod directly wired to a computer at 1x zoom ratio. When the zoom ratio exceeds 10x, video stream delay will increase and frame rate will decrease.
Applications
The XF D-80U Intelligent 4K Full-Color Night Vision Spherical Pod is suited for UAV and mobile platform integration where precise, stabilized, long-range 4K imaging is required in both daytime and low-light conditions. Typical use cases include aerial imaging, inspection tasks, and general observation where compact size, high zoom capability, and AI-based tracking are beneficial.
