18274652. INTRUSION DETERMINATION DEVICE, INTRUSION DETECTION SYSTEM, INTRUSION DETERMINATION METHOD, AND PROGRAM STORAGE MEDIUM simplified abstract (NEC Corporation)

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INTRUSION DETERMINATION DEVICE, INTRUSION DETECTION SYSTEM, INTRUSION DETERMINATION METHOD, AND PROGRAM STORAGE MEDIUM

Organization Name

NEC Corporation

Inventor(s)

Eiichi Tokumi of Tokyo (JP)

Shohe Ikeda of Tokyo (JP)

INTRUSION DETERMINATION DEVICE, INTRUSION DETECTION SYSTEM, INTRUSION DETERMINATION METHOD, AND PROGRAM STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18274652 titled 'INTRUSION DETERMINATION DEVICE, INTRUSION DETECTION SYSTEM, INTRUSION DETERMINATION METHOD, AND PROGRAM STORAGE MEDIUM

Simplified Explanation

The detection device described in the patent application combines multiple types of sensors, including a photographing device, radar, lidar, and passive radar, to detect unmanned aerial vehicles (UAVs) in monitored airspace. The device acquires sensor signals and uses image processing to detect UAVs through object recognition. A determination unit then assesses whether a suspicious vehicle, such as an unauthorized UAV, has entered the monitored airspace based on the sensor outputs and image analysis.

  • The detection device combines various sensors, including a photographing device, radar, lidar, and passive radar, to detect UAVs.
  • Image processing is used for object recognition to identify UAVs in monitored airspace.
  • The determination unit evaluates if a suspicious vehicle, like an unauthorized UAV, has intruded into the monitored airspace based on sensor data and image analysis.

Potential Applications

The technology can be applied in various industries and sectors, including:

  • Military and defense for airspace security
  • Law enforcement for monitoring unauthorized drone activity
  • Critical infrastructure protection against potential UAV threats

Problems Solved

This technology addresses the following issues:

  • Unauthorized UAVs entering restricted airspace
  • Ensuring safety and security in monitored areas
  • Enhancing surveillance capabilities for UAV detection

Benefits

The benefits of this technology include:

  • Improved detection and identification of UAVs
  • Enhanced security measures in monitored airspace
  • Real-time monitoring and response to potential threats

Potential Commercial Applications

The technology has potential commercial applications in:

  • Security and surveillance systems for airports, government facilities, and public events
  • Drone detection and countermeasure solutions for private companies and organizations
  • Integration into existing airspace monitoring systems for enhanced security measures

Possible Prior Art

One example of prior art in this field is the use of radar systems for UAV detection and tracking. Additionally, there are existing technologies that utilize image processing for object recognition in surveillance applications.

Unanswered Questions

How does the detection device differentiate between different types of UAVs based on sensor data and image analysis?

The patent application does not provide specific details on how the device distinguishes between various UAV models or types. Further information on the algorithms or criteria used for classification would be beneficial.

What is the range and accuracy of the detection device in identifying UAVs in monitored airspace?

The abstract does not mention the operational range or accuracy of the detection device in detecting UAVs. Understanding the limitations and capabilities of the technology in different environmental conditions would be essential for potential users.


Original Abstract Submitted

A detection device is constructed by a combination of a plurality of types of detection sensors, which include at least a photographing device serving as a sensor that detects an unmanned aerial vehicle, among a plurality of types of detection sensors including a radar, a lidar, a passive radar, and the photographing device. An acquisition unit acquires a sensor signal output. An image processing unit detects an unmanned aerial vehicle by object recognition processing from an image photographed. A determination unit determines whether or not a suspicious vehicle, which is an unmanned aerial vehicle not permitted to fly in the monitored airspace, has intruded into the monitored airspace on the basis of the result of detecting an unmanned aerial vehicle from the photographed image and a sensor signal output from a detection sensor other than the photographing device among the plurality of types of detection sensors constructing the detection device.

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