The DC1 micro UAV gimbal camera leverages dual visible-light sensors to capture sharp imagery in various lighting conditions. Its 3-axis gimbal compensates for horizontal, roll, and pitch movements, ensuring stable video output. This stability is critical for forest fire monitoring, public security, and law enforcement missions where clear images impact decision-making. Moreover, the integrated 10x optical zoom and 40x hybrid zoom enable rapid switching from wide surveillance to detailed target recognition. Consequently, the field of view ranges from 98.5°x66.3° for scanning areas down to 26.2°x14.9° for pinpoint identification. The FHD EO camera delivers 1920×1080 video at 50 fps, while H264/H265 encoding and MP4 storage simplify post-mission analysis. Additionally, the 3-axis gimbal tracks objects at angular velocities greater than 100°/s, enabling rapid response. Onboard picture-in-picture and rich OSD overlays display camera information, target data, and robot status in real time. For connectivity, UDP/RTSP streaming and RS232/net control methods are supported. Therefore, this micro UAV gimbal reduces the integration complexity often associated with airborne imaging systems.

From law enforcement patrols to industrial infrastructure inspections, the DC1 UAV payload camera adapts to various mission profiles. Its 71-gram weight and compact size allow mounting on the smallest drones without reducing flight endurance. In public security scenarios, the DC1 micro UAV gimbal camera delivers stable visible-light imaging to monitor crowds, track suspects, and document evidence. Environmental projects benefit from its ability to capture high-resolution aerial footage over forests, coastlines, and disaster zones. Meanwhile, firefighters use the hybrid zoom to assess wildfire perimeters from a safe distance. Law enforcement teams value the picture-in-picture feature, which displays a magnified area alongside the main image. Furthermore, industrial inspectors examine pipelines, power lines, and wind turbines with exacting detail using the drone gimbal camera. The RS232/net control method offers flexibility for robotic vision platforms requiring a stabilized FHD EO camera. Therefore, this UAV payload camera enhances situational awareness and opens new possibilities for automated aerial data collection. Moreover, its rugged design and wide voltage input range make it suitable for commercial and government agency operations.