Touchscreen operated anti-drone deception, strike, and detection integrated

I. Touchscreen Panoramic Visualization Interface

This system employs a touchscreen panoramic visualization interface, integrating and displaying multi-source information such as radar detection, photoelectric identification, and electronic countermeasures. Operators can zoom, rotate, and manage zones of the airspace via multi-touch, achieving three-dimensional situational awareness of the target area. The interface supports a modular layout, allowing for free switching between surveillance, strike, and jamming views according to mission requirements, significantly improving operational efficiency and response speed in complex electromagnetic environments.

II. Main Product Parameters

III. Real-time UAV Target Trajectory Display

The system possesses high-precision real-time trajectory drawing capabilities, dynamically displaying the UAV's flight path, speed, and altitude change trends on a 3D airspace map. Through overlay analysis of historical trajectories and current motion states, the system can predict the target's future flight direction and distinguish threat levels using different colors, enabling operators to quickly identify high-risk targets and formulate response strategies.

IV. Support for Deception and Jamming Strategy Linkage

The system integrates a deception and electronic jamming linkage mechanism, automatically matching the optimal countermeasure strategy based on the target type. When an illegal UAV is detected, multiple methods such as navigation signal deception, spectrum suppression, and communication link blocking can be simultaneously activated to achieve integrated closed-loop control of "detection-judgment-deception-suppression." It also supports customizable strategy rule bases to meet tactical needs in different scenarios.

V. Cloud Data Analysis and Storage

The system supports cloud data synchronization and large-scale storage and analysis capabilities, uploading all target data, trajectory records, and jamming logs to the cloud platform in real time. Through big data analysis and AI model training, long-term modeling of UAV activity patterns and threat prediction are achieved. It also supports multi-terminal access and remote command and dispatch, improving overall collaborative combat and situational awareness capabilities.