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An AI/ML-enabled Anti-Drone Solution, Dedrone is revolutionizing drone defence with an advanced AI-Driven Autonomous C2 platform.
We have gone beyond the limits of simple sensor correlation to incorporate advanced algorithms and proprietary machine learning techniques, such as behavior model filters, neural networks and AI-based imagery through over 18 million images. By leveraging these sophisticated methods, Dedrone has virtually eliminated false positives in our drone detection system, providing unmatched accuracy and reliability.
Our cutting-edge platform and continuous commitment to innovation is changing the game for lower airspace security.
Drone Detection
Dedrone's systems employ a multi-sensor approach to detect drones. This includes RF sensors that analyze the radio frequency spectrum to identify drone signals, acoustic sensors that detect the distinct sounds produced by drones, and optical cameras that provide visual confirmation. By combining data from these sensors, Dedrone's detection algorithms can accurately identify and locate drones within the monitored airspace.
Classification and Threat Assessment
Once a drone is detected, Dedrone's software analyzes various parameters to classify the type of drone and assess its potential threat level. This includes evaluating flight patterns, determining whether it is a consumer-grade or commercial-grade drone, and examining communication signals to identify any potential hacking or unauthorized access attempts. By understanding the characteristics of the drone, Dedrone's system can make informed decisions on the appropriate response.
Real-time Monitoring and Alerts
Dedrone's platform provides real-time monitoring of drone activities, allowing security personnel to visualize and track drones on a centralized dashboard. Alerts are generated when unauthorized drones are detected, enabling rapid response and mitigation. The system can provide insights into flight paths, repeat offenders, and even potential patterns or coordinated activities involving multiple drones.
Countermeasures and Mitigation
Dedrone's counter-drone solutions encompass a range of measures designed to neutralize unauthorized drones and prevent potential harm or disruption. These countermeasures can include the use of frequency jammers to block the drone's control signals, takeovers that allow operators to gain control of the drone and land it safely, or physical capture mechanisms like nets or other means to physically intercept and remove the drone from the airspace.
Integration and Scalability
Dedrone's technology is designed to integrate with existing security infrastructure, such as video management systems, access control systems, and other third-party sensors. This allows for a comprehensive security ecosystem that combines multiple layers of protection. Dedrone's systems are scalable, enabling deployment in various environments, ranging from critical infrastructure sites like power plants and prisons to large-scale public events or urban.
An AI/ML-enabled Anti-Drone Solution, Dedrone is revolutionizing drone defence with an advanced AI-Driven Autonomous C2 platform.
We have gone beyond the limits of simple sensor correlation to incorporate advanced algorithms and proprietary machine learning techniques, such as behavior model filters, neural networks and AI-based imagery through over 18 million images. By leveraging these sophisticated methods, Dedrone has virtually eliminated false positives in our drone detection system, providing unmatched accuracy and reliability.
Our cutting-edge platform and continuous commitment to innovation is changing the game for lower airspace security.
Drone Detection
Dedrone's systems employ a multi-sensor approach to detect drones. This includes RF sensors that analyze the radio frequency spectrum to identify drone signals, acoustic sensors that detect the distinct sounds produced by drones, and optical cameras that provide visual confirmation. By combining data from these sensors, Dedrone's detection algorithms can accurately identify and locate drones within the monitored airspace.
Classification and Threat Assessment
Once a drone is detected, Dedrone's software analyzes various parameters to classify the type of drone and assess its potential threat level. This includes evaluating flight patterns, determining whether it is a consumer-grade or commercial-grade drone, and examining communication signals to identify any potential hacking or unauthorized access attempts. By understanding the characteristics of the drone, Dedrone's system can make informed decisions on the appropriate response.
Real-time Monitoring and Alerts
Dedrone's platform provides real-time monitoring of drone activities, allowing security personnel to visualize and track drones on a centralized dashboard. Alerts are generated when unauthorized drones are detected, enabling rapid response and mitigation. The system can provide insights into flight paths, repeat offenders, and even potential patterns or coordinated activities involving multiple drones.
Countermeasures and Mitigation
Dedrone's counter-drone solutions encompass a range of measures designed to neutralize unauthorized drones and prevent potential harm or disruption. These countermeasures can include the use of frequency jammers to block the drone's control signals, takeovers that allow operators to gain control of the drone and land it safely, or physical capture mechanisms like nets or other means to physically intercept and remove the drone from the airspace.
Integration and Scalability
Dedrone's technology is designed to integrate with existing security infrastructure, such as video management systems, access control systems, and other third-party sensors. This allows for a comprehensive security ecosystem that combines multiple layers of protection. Dedrone's systems are scalable, enabling deployment in various environments, ranging from critical infrastructure sites like power plants and prisons to large-scale public events or urban.
