Full-Image Thermometric
640 x 512 High-Resolution
Thermal Imaging (Thermometric)
Thermal Imaging (Thermometric)
4K Ultra HD
Recording & Photography
Recording & Photography
Split Image
Synchronized Zoom
Synchronized Zoom
Yaw Axis 540-Degree
Rotation
Rotation
Nose Mode
Upside Down Mode
Compatible with ArduPilot
& PX4 (Mavlink)
& PX4 (Mavlink)
Ethernet, HDMI,
CVBS Video Output
CVBS Video Output
High Accuracy & High Collaboration
Control Algorithm
Control Algorithm
Dual Sensors, Mini Size & Lightweight
ZT6 is a mini size and lightweight optical pod integrated with an optical sensor and a thermal imaging sensor.
Dual sensors collaborate efficiently to detect heat sources and measure temperature, to capture clear picture and provide a broad view
Dual sensors collaborate efficiently to detect heat sources and measure temperature, to capture clear picture and provide a broad view
High Resolution Thermal Imaging
ZT6 mini dual-sensor optical pod carries a 640 x 512 resolution thermal imaging sensor of 13 mm focal length and 30 fps frame rate.
Vision is wide, video is smooth and clear. Quick and accurate reactions can be taken as long as abnormal heat source is detected where
temperature can be measured by touching on infrared images
Full-Image Thermometric
Box Thermometric
Point Thermometric
Infrared Zoom
Synchronized Zoom
Video Split-Image
Gimbal Working Mode
Gimbal mounted on the head of the plane at an angle of 90 degrees to the horizon will automatically enter the nose mode, which is easy for installation on VTOL drones and planes to achieve an excellent angle and a wider field of view
Horizontally, gimbal follows when aircraft rotates
Gimbal rotates simultaneously as aircraft rolls to get FPV view, and output enhanced stable images
Horizontally, gimbal does not follow when aircraft rotates
High Accuracy and High Collaboration Control Algorithms
SIYI has done even more in control algorithms and stabilization algorithms
IMU Calibration Algorithms
Compensate and correct errors of the inertial measurement unit, reduce interference factors such as zero bias, scale factor, inter-axis error, temperature drift, noise, etc., greatly improve the measurement accuracy of IMU, and improve the stability of the gimbal in large temperature differences, wide margin steering, and strong vibration environments
Attitude Fusion Algorithms
Comprehensively utilize the data of sensors such as accelerometers and gyroscopes, obtain the pitch angle, roll angle, and yaw angle of the gimbal through mathematical models and filtering algorithms, and fuse this information to effectively improve system performance, stability, and robustness
Industry-Level 3-Axis Stabilization Algorithms
Deeply integrate and utilize 3-axis gyroscopes, 3-axis accelerometers, PID controllers, motors, and magnetic encoders to achieve gimbal attitude stabilization control and continuously output stable high-definition video images during motion
High-Precision FOC Motor Control Algorithms
Control the current components of the motor to control torque and magnetic field respectively, thereby achieving decoupling control of the brushless motor and greatly reducing picture jitter
Product Interface
Typical Connection Diagram
Gimbal Control Typical Connection Diagram
