It adopts a 16mm fixed-focus visible light module and a 19mm uncooled IR thermal imager.
With full configuration, its weight is only about 350g.
Internally, it utilizes a two-axis, two-frame structure and integrates high-precision electronic image stabilization technology, which not only improves accuracy but also enhances system reliability.
It is equipped with a target recognition and tracking module, enabling real-time identification, positioning, and tracking of dynamic targets such as people and vehicles.
It also supports deep network learning, allowing for quick and convenient updates to the recognition model.
Model No | ZX-GD75 |
Max Angular Velocity | Roll:≥60°/s; Pitch:≥60°/s |
Max Angular Acceleration | Roll:≥100°/s2; Pitch:≥60°/s2 |
Range | Roll: 0°-360° |
Pitch | -80°--50° |
Stability Accuracy | ≤1mrad |
Tracking Accuracy | ≤200urad |
IR Thermal Imager | |
Detector Type | Uncooled Vox |
Resolution | 640*512 |
Pixel Pitch | 12μm |
NETD | ≤30mk |
Range | 8μm-14μm |
Focus Length | 19mm |
FOV | 22.8°*18.3° |
Max Frame | ≥50fps |
CMOS | |
Focus Length | 16mm |
Resolution | 1920*1080 |
Pixel Pitch | ≤4μm |
FOV | 26.9°*15.3° |
Fog Penetrating | YES |
Visual Navigation | |
Map | Embedded Google map, can be updated on ground |
Location Altitude | 500m-800m |
Location Accuracy | ±2m |
Used for city, countryside, Gobi, grassland and forest farm day and night | |
Application | |
Target Recognition and Tracking | |
Recognition Mode | Auto |
Recognition Rate | 94% |
Recognition Way | Based on neural network deep learning |
Tracking Mode | Auto and Manual |
Min Target Size | 5*5 Pixel |
Weight | ≤500g |
Dimension | Φ75mm*127mm |
Color | Blue and Grey |
Power Supply | DC 14V-28V |
Operating Temperature | -40°C--60°C |
Storage Temperature | -45°C --65°C |
Waterproof Level | IP66 |
Power Consumption | Static:≤10W, Peak:≤20W |