Wristband Control Panel — Real-time Situation View and One-Click
Response
The wristband control panel integrates a high-definition touch
display and easy-to-use buttons, providing real-time information on
multi-band interference, target distance and direction, remaining
battery power, and operating mode. Operators can initiate emergency
blocking with a single button or switch modes and power levels by
sliding. The wristband supports haptic feedback and visual alarms,
facilitating rapid decision-making and coordinated command in
complex outdoor environments.
Product Specifications
| Parameter | Description |
|---|
| Frequency Band Coverage | 400MHz–6GHz |
| Maximum Output Power | 20W |
| Interference Mode | Continuous/Pulse/Smart |
| Battery Capacity | 12000mAh |
| Battery Life | 2–6 hours (depending on power) |
| Weight | 1.8kg (including battery) |
| Communication Interface | USB-C / Bluetooth / Wireless Link |
| Positioning System | GPS + BeiDou Fusion |
| Protection Rating | IP55 |
| Quick-Release Shoulder Strap | Supports quick release and modular expansion |
Positioning Fusion — GPS/BeiDou Improved Accuracy
The device employs GPS and BeiDou dual-mode fusion positioning,
achieving centimeter-level to meter-level target positioning
accuracy through multi-source satellite data and filtering
algorithms. After fusion, it can quickly lock onto the trajectory
of moving drones, estimate flight altitude and speed, and transmit
location information back to the wristband and ground station. It
supports trajectory playback and event recording, significantly
improving the accuracy of interception and targeted hits.
Quick-release shoulder straps and ergonomic pressure-reducing
carrying system
The backpack features quick-release shoulder straps and adjustable
chest and waist belts, combined with contoured pressure-reducing
shoulder pads and a breathable back panel to distribute weight and
reduce shoulder and back pressure. The quick-assembly design
facilitates rapid deployment or short-term carrying by a single
person. Modular attachment points support external batteries or
tool bags, suitable for extended field inspections and emergency
use.
Low false alarm rate algorithm — reducing misjudgments
It incorporates a low false alarm rate recognition algorithm, based
on a classifier trained with multi-dimensional features (spectrum,
impulse model, flight trajectory, and acoustic/optical assistance),
effectively distinguishing between normal civilian drones,
industrial drones, and non-threat targets such as flocks of birds.
The algorithm supports online learning and threshold adaptation,
reducing the risk of false alarms to normal flight activities and
ecological disturbances.