Zorelit v4
Product descripton: Zorelit v4 by VL4NK / Vluchnyk
Zorelit v4 is a high-speed, battlefield-proven counter-UAV interceptor developed to engage and destroy fast aerial threats, including Shahed-type loitering munitions and other hostile UAVs. The platform is optimized for rapid interception, high maneuverability, and reliable target engagement in both day and night operations.
The interceptor is available in multiple configurations, including daytime analog, daytime digital, and thermal imaging variants. The thermal version enables effective night operations, while optional AI-assisted target highlighting, autonomous navigation, and terminal guidance further enhance interception success rates.
Designed for operational flexibility, Zorelit v4 supports multiple ELRS receiver frequencies and can be integrated with SkyMap for autonomous navigation to the target area. Optional terminal auto-homing and machine learning-based target detection improve final-stage accuracy against high-speed aerial targets.
The UAV has confirmed combat use and is field-proven under real operational conditions.
Technical specifications
| Parameter | Specification |
|---|---|
| Role | Counter-UAV interceptor |
| Primary Targets | Shahed-type drones and other fast aerial targets |
| Maximum Speed | 348 km/h |
| Operational Range | 35 km (single charge) |
| Long-Range Configuration | 65–70 km |
| Standard Configuration Range | 46 km |
| Endurance | ~20 min (100–130 km/h cruise speed) |
| Payload Capacity | 300–600 g warhead |
| Flight Controller | F405 |
| Video Transmitter | 4990–6100 MHz, 2.5 W |
| VTX Antenna | 5 dBi RHCP |
| Receiver | ELRS (150 / 340 / 500 / 620 / 750 / 915 MHz, 2.4 GHz, Sine.Link, others) |
| Camera Options | Thermal (384 px / 640 px), Analog Day (Caddx Pro), Digital Day (Walksnail), Thermal with AI |
| Camera Mechanism | Pan mechanism included |
| Initiation System | Remote detonation with physical safety pin |
| Optional Capabilities | SkyMap autonomous navigation, terminal auto-guidance, AI thermal target highlighting, ML-based Shahed detection |
| Combat Status | Battlefield-proven with confirmed combat deployment |