Batman 1CUA Portable Drone Detector

1. Overview

Batman 1CUA drone detector is a portable drone monitoring platform, used for detection, identification, location and tracking of drones and pilots. Batman 1CUA is suitable for drone monitoring in scenarios such as major events, daily security patrol, VIP secret service, critical infrastructure etc. It works offline or online, with option to connect multiple devices to cover large area. It is highly portable, easy to carry and use, ready to deploy in seconds.

2. Functions

• Drone detection and identification: 1CUA detects and identifies various name brand drones such as DJI and AUTEL, as well as WiFi drones, FPVs, some DIY drones；
• Trajectory tracking and display: The real-time flight trajectory of the tracked drones can be displayed on the GIS map；
• Pilot position display: The position of the pilot (remote controller) can be tracked and displayed, and the location information can be updated in real time；
• Drone detailed information monitoring: The detailed information of drones and pilots can be displayed in real time, including: drone ID, frequency, latitude and longitude, model, altitude, height, pilot latitude and longitude, distance between the device and the pilot (or the distance between the drone and the reference point) and other information；
• Sole identity: For each drone, H1C can identify its unique S/N number；
• Black and white list: Distinguish between “friend” and “foe”, H1C will not alarm when a “friend” drone is detected, a “friend” or “foe” can be tagged (only support DJI series drones)；
• Intrusion alarm: When the device detects a drone intrusion, an audible and/or visual alarm is performed；
• Map operation: Support online map and local map；
• Map types: Support a variety of digital maps, including AutoNavi, Bing, Baidu, Google, etc.；
• Historic data playback: Record and playback of historic drone trajectories, model, pilot location and home point and other information；
• Data record query: User can query the historic data of the drones detected according to the time period；
• Data statistics: Historical drone detection data statistics and graphical analysis；
• Drone swarm tracking: Multiple drones can be tracked at the same time and different drone trajectories are displayed with different colors；
• Multi-device networking: Multiple devices can access the back-end management platform at the same time for unified device management and data management, and can merge the detection results of multiple devices (including drones, pilots, and trajectories).