VAR200
Based on the design concepts of AI learning and electro-optical integration, the system boasts outstanding performance, comprehensive functionality, and unique features. It supports a full suite of operational capabilities, including:
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Active Detection & Intelligent Identification
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Target Positioning
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Evidence Collection & Tracking
Run Independently
The system operates independently as a stand-alone unit. It does not rely on any other equipment, such as radar or radio frequency (RF) devices, to function effectively.
Cost-Effective
A single set of equipment provides full functionality and can be used for individual operations. It is easy to deploy and is also designed to work in seamless coordination with other security systems.
Active Detection
Based on a servo gimbal architecture, the system automatically scans and searches the surrounding airspace. Once a drone is detected, an alarm is triggered immediately.
User Friendly
With a simple click, the system runs automatically, performing autonomous detection and alarm functions without complex manual oversight.
Intelligent Early Warning
By adopting self-developed intelligent visual analysis and AI recognition algorithms, the system accurately recognizes and provides early warning for a wide variety of drone types.
Network Coordination
By adopting self-developed intelligent visual analysis and AI recognition algorithms, it can accurately recognize and give early warning to various drones.
Specifications
The Active Optoelectronic Detection System VAR200 integrates precision gimbals with intelligent AI vision technology. It represents a significant breakthrough by removing the traditional dependence on radar or radio spectrum detection equipment.
The VAR200 is a comprehensive solution that combines:
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Active Detection & Intelligent Identification
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Target Positioning & Evidence Tracking
The system supports 7/24 hours of uninterrupted monitoring, identifying, positioning, and tracking of drones within the surrounding low-altitude range.
Our proprietary AI vision technology integrates three core pillars: Visual Analysis, Model Training, and Deep Learning.
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Precision Learning: The system analyzes the characteristics of “low, small, and slow” drones using a vast database of image data to ensure accurate detection.
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Neural Networks: It utilizes deep neural networks to automatically extract and classify image data.
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Enhanced Efficiency: This significantly improves the accuracy and efficiency of drone detection and identification, playing a critical role in securing airspace against modern UAV threats.
Related Solution
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