KR20230135275A - Anti-drone detection system for privacy - Google Patents

Abstract

The present invention relates to an anti-drone detection system for privacy protection. To be described in more detail, an acoustic detection sensor is installed in buildings in urban areas, including high-rise buildings, apartments, hotels, etc., for the purpose of privacy protection, and when a drone enters the detection area, Data that detects the sound (noise) frequency generated from the propeller when the drone's motor is driven is transmitted to the server. Data for each drone, angle, and distance are collected, compared and analyzed with the data stored in the database, and then sent to the browser on the client computer. It is characterized by protecting the privacy of users and customers by transmitting a signal notifying the location and intrusion of the drone.
The anti-drone detection system for privacy of the present invention detects using an acoustic detection sensor, so the production cost is low, so it can be manufactured as a low-cost product, and the installation space can be reduced as much as possible by minimizing the volume, so it can be widely used in the private sector. There is a characteristic.

Description

Anti-drone detection system for privacy}

The present invention is installed in buildings in urban areas, including high-rise buildings, apartments, hotels, etc., for the purpose of protecting privacy, and when a drone enters the detection area, the sound (noise) frequency generated from the propeller when the drone's motor is driven by an acoustic detection sensor is used. A drone scanner that detects drones, a communication unit that transmits data from detected drones to a server, and the transmitted data is collected in a database by drone, angle, and distance, compared and analyzed with the stored data, and then sent to the client computer's browser. It is about an anti-drone detection system that protects the privacy of users and customers and consists of a server that transmits signals notifying the location and intrusion of drones.

In general, a drone, a name derived from the buzzing sound of an unmanned aerial vehicle or a bee, is controlled remotely from the ground without a pilot directly boarding the aircraft, and flies autonomously or semi-automatically according to a pre-programmed route or is equipped with artificial intelligence. It refers to the entire system, including aircraft, ground control equipment, and communication equipment support equipment that performs missions according to its own environmental judgment.

Depending on the field of use, it is equipped with various equipment (optical, infrared, radar sensors, etc.), attracting attention as a major means of military power, including missions such as surveillance, reconnaissance, guidance of precision attack weapons, communication/information relay, EA/EP, and decoy. I'm receiving it.

In recent years, drones have been growing rapidly. They can float in the air by rotating propellers, can fly by guiding radio waves, and are remotely controlled from a distance, so they are designed to be easy to control.

As an example, a drone may be equipped with multiple propellers and multiple motors.

Meanwhile, with the development of wireless technology, drones, which are small, wireless reconnaissance flying objects owned by individuals rather than for military use, have recently been commercially available and used.

Drones are equipped with cameras and operated to fly for purposes such as capturing terrain information or for broadcasting or military purposes.

Drones are usually operated by a radio control device based on GNSS location information, and most drones use multiple helicopters and horizontal rotors, making it very easy to control their location and direction.

In particular, shooting in a stationary state is possible, so it is used for selfies or video shooting for broadcasting. However, for selfie shooting, the user must operate the drone with his own terminal, and for video shooting, shooting is done by a separate drone operator. .

However, the use of drones in various industries is not always positive.

With just a little bit of skill, anyone can easily fly a drone and send it to a place that is difficult for humans to access. Not only is there always a risk of crashes and accidents with drones flying in the sky, but the functional characteristics of drones developed for military use prevent them from being used in crime or terrorism. It is abused.

In addition, as the use of drones for hobbies and entertainment by the private sector has rapidly increased in recent years, the number of privacy infringement complaints is rapidly increasing.

Although a wide range of information is collected and recorded through Goseong cameras mounted on drones, there is a lack of legal and institutional measures to prevent indiscriminate leakage of personal information.

The above reason is that although most drones are equipped with cameras, drones are not included in “image processing devices” under the Personal Information Protection Act.

For example, in September 2019, in Yeonsu-gu, Incheon, many residents saw drones flying at night in front of their windows. This led to anti-drone protests (illegal), which complained of not only invasion of privacy but also mental damage due to noise. Civil complaints have been filed and are causing social problems.

In addition, the reality is that the possibility of invasion of privacy, such as entering a person's private property or building without permission or taking video there, is increasing.

In order to respond to such side effects of drone use, domestic regulatory laws related to drones have been subdivided into the "Aviation Safety Act, Aviation Business Act, and Airport Facilities Act" and have been in effect since March 30, 2017, and "Article 129 of the Aviation Safety Act" ④ Unmanned Flight Devices Personal information (hereinafter referred to as “personal information”) pursuant to Article 2, Paragraph 1 of the [Personal Information Protection Act] or personal location information pursuant to Article 2, Paragraph 2 of the [Act on the Protection and Use of Location Information] When collecting or transmitting personal information (hereinafter referred to as “personal location information”), the protection of personal information and personal location information shall be governed by the provisions of the applicable laws,” and specifies regulations on infringement of personal information and personal privacy. However, there are limits to preventing invasion of privacy caused by drones.

Therefore, awareness that privacy protection is a priority is increasing, especially in developed countries, and a drone detection system that can detect drones in the private sector is needed.

Drone detection systems currently in use on the market include radar, RF scanners, optical/infrared (EO/IR) cameras, and LiDAR as sensors for drone detection.

The drone detection system has the characteristics, advantages and disadvantages as shown in the table below.

- Conventional drone detection sensor
Middle classification

Subcategory
technology concept




detection
radar
Detection using X-band (8 ∼ 12 GHz) and Ku-band (12 ∼ 18 GHz)

RF scanner
Detect drone by analyzing communication signals between drone and operator

optical camera
Detection using a camera with an optical sensor

IR camera
Detection using a camera equipped with an IR sensor

- Pros and cons of each drone detection sensor
type

Advantages
disadvantage






radar



active

- Long-distance detection possible
- Not affected by weather conditions
- Operates in low light situations
- Detects even drones that do not transmit RF signals
possible

- Radar signal reflectivity varies from object to object, so it is not effective for all objects.
- Difficulty distinguishing between birds and drones
- High power consumption
- Unable to detect behind obstacles


manual

- No separate transmitting device required
- Mobile communication base station preferred, broadcasting signal available
- Detection performance can be improved by installing additional receivers on active radar.

- Installation of multiple receivers (can be installed fixedly or mounted on a manned or unmanned vehicle)
- Performance depends on transmitter location and surrounding environment


EO/IR cameras



- High accuracy of target location (azimuth, elevation).
- Target detection and classification possible through SW processing
-Capable of long-distance detection compared to RF/sound
- Significantly influenced by weather conditions
- Distance and speed accuracy is not high
- Requires continuous maintenance of the lens
- Unable to detect behind obstacles


LiDAR




- 3D image creation possible
- Poor environment (bad weather, strong sunlight, etc.)
Decreased distance perception performance in
- Limited detection range
-Cannot be detected behind obstacles



RF



- No signal transmission required
- Easy to detect remotely controlled drones using RF signals

- Cannot be detected if RF signal is not transmitted
- Difficult to detect drone signals in the ISM band
- Difficulty detecting signals when using mobile communication

Conventional drone detection methods use radar, RF scanners, optical/infrared (EO/IR) cameras, LiDAR, etc., so they are bulky and expensive, making commercialization impossible in the private sector.

In addition, radar, RF scanners, etc. have many procedural difficulties for commercialization, such as radio wave authentication, depending on the frequency of use.

Domestic and international drone detection and anti-drone system development is centered on the military market, and is focused on developing high-performance systems for military defense and security of major national facilities, so the problem is that there are no low-cost commercialized products that can be used in the private sector. there is.

Therefore, the conventional drone detection system has advantages and disadvantages for each detection sensor, but it has the problem that it cannot be used as a drone detection method for individuals because it is so expensive.

In addition to expensive, special-purpose drone detection methods, the reality is that a low-cost, small-sized drone detection system that can be easily used by individuals is essential to prevent invasion of privacy.

Korean Patent Application No. 10 - 2020 - 0080646 "Image-based anti-drone detection device and method using deep learning model"

In order to solve the above problems, the present invention considers that the flight of an anti-drone that causes privacy infringement is carried out at a short distance, and to protect the privacy of the individual, the sound generated from the propeller when the drone's motor is driven through an acoustic detection sensor is provided. In addition to detecting (noise) frequencies to inform users and clients of the drone's location, acoustic detection sensors are relatively more expensive than sensors used in existing radars, RF scanners, optical/infrared (EO/IR) cameras, LiDAR, etc. The purpose is to be inexpensive and small in size so that it can be installed and used in desired locations such as high-rise buildings, apartments, hotels, etc. in urban areas.

As a means of solving the above problem, the present invention includes a sound cam that detects the sound (noise) frequency generated from the propeller when the drone's motor is driven by an acoustic detection sensor, and the sound cam is connected to a hub and an Ethernet ( Ethernet), the hub is connected to the communication unit (POE: Power over Ethernet) attached to the sound cam via Ethernet, and the communication unit is connected to the server via Ethernet, and is connected to the sound cam and drives in the forward, left, and right directions. A drone scanner consisting of a drive motor,

The sound (noise) generated from the drone's propeller is processed by analyzing the data collected from each drone, angle, and distance through an acoustic detection sensor, and the data stored in the database and the information of the detected drone. Then, it provides an anti-drone detection system for privacy protection consisting of a server that informs linked client computers of the drone's intrusion and location.

As described above, the anti-drone detection system for protecting privacy of the present invention installs a sound cam with a plurality of acoustic detection sensors attached to buildings in urban areas, including high-rise buildings, apartments, hotels, etc., for the purpose of protecting privacy, and When a drone intrudes into the detection area using an acoustic detection sensor, the sound cam detects the acoustic (noise) frequency generated from the propeller, analyzes it on the server, and then sends a signal notifying the location and intrusion of the drone to the client computer browser to provide information to users and customers. It has the effect of protecting one's privacy.

The anti-drone detection system for privacy protection of the present invention does not require radio wave authentication depending on the frequency of use, so it can be installed directly in a desired location.

Therefore, the anti-drone detection system for privacy protection of the present invention can be manufactured as a low-cost product due to low production costs due to detection by an acoustic detection sensor, and can be widely used in the private sector because the installation space can be reduced as much as possible by minimizing the volume. There is an effect.

In addition, the data analysis method of the acoustic detection sensor can be modified and applied depending on the detection target object, which has the effect of increasing the privacy protection effect from drone flight.

The present invention has the effect of transmitting a signal notifying the location and intrusion of a drone to a mobile client browser through a mobile communication network.

In addition, the present invention has the effect of developing an entry-level, low-cost, and small-sized drone detection system, enabling it to dominate the global market through early market development.

Since the present invention detects drones using an acoustic detection sensor, it is possible to detect drones even if there are obstacles at close range, and has the effect of detecting drones that do not emit RF signals.

Figure 1 is a block diagram showing an anti-drone detection system for privacy protection of the present invention.
Figure 2 is a perspective view showing the drone scanner of the present invention.
Figure 3 is a side view showing the drone scanner of the present invention.
Figure 4 is an exemplary diagram showing the interior of the drone scanner of the present invention.

In order to achieve the above objectives and effects, the present invention will be described in detail with the accompanying drawings as follows.

Figure 1 is a block diagram showing the anti-drone detection system for privacy protection of the present invention, Figure 2 is a perspective view showing the drone scanner of the present invention, and Figure 3 is a side view showing the drone scanner of the present invention.

In order to detect anti-drones for privacy protection of the present invention, an anti-drone detection system (1) for privacy protection is largely comprised of a drone scanner (2), a communication unit (POE: Power over Ethernet) (6), a server, and a client computer browser (7). This is composed.

The drone scanner (2) includes a sound cam (3) that detects the sound (noise) frequency generated from the propeller by driving the drone's motor by the sound detection sensor (14), and the sound cam (3) is connected to a hub (4) and Ethernet, the hub (4) is connected to a communication unit (POE: Power over Ethernet) (6) and Ethernet, and the sound cam (3) is a driving motor ( 5, 5') and rotates forward, backward, left, and right.

The sound cam (3) is capable of detecting drones at angles of ±30° left and right, 0 to 30° up and down, and within a distance of 300 m by the drive motor (5).

The communication unit (POE: Power over Ethernet) (6) installed in the sound cam (3) transmits the data of the intruding drone transmitted through the hub (4) by being connected to the server (9) via Ethernet.

The server 9 is a small computer, and a database 8 that pre-stores data collected by drone, angle, and distance through an acoustic detection sensor for the sound (noise) generated by the drone's propeller, and the data After analyzing the data stored in the base (8) and the data from the detected drone, a signal notifying the intrusion of the drone is transmitted to the linked client computer browser (7).

In addition, although not shown in the drawings, it includes a control unit that controls the above configuration.

The client computer browser 7 provides signals to users and customers to recognize the information transmitted to the server 9.

The sound detection sensor 14 combines two propellers into one unit depending on the drone's movement mode, so when a difference in rotation occurs, the sound pattern emitted is different, and the sound time difference is accordingly adjusted using TDOA (Time Difference of Arrival) technology. Detect using

The drone's movement mode consists of stationary hovering, up and down movement, forward and backward movement, rotational movement in place, and left and right movement, and these are detected.

The acoustic detection sensor 14 is a time difference (TDoA: Time Difference of Arrival: difference in time when noise arrives) of drone sounds (noise) detected by several acoustic detection sensors 14 at a short distance of about 300m. Calculates and detects the exact location of the drone.

When the drone's motor is driven, the sound pattern emitted from the propeller is detected using TDoA technology. Depending on the movement mode of the drone, a difference in rotation speed occurs between the two propellers, and the sound pattern emitted changes accordingly. detect.

- Propeller rotation speed changes depending on the drone’s exercise mode -

In order to detect a drone using the acoustic detection sensor 14, the present invention requires graph analysis of sound pressure level (SPL) by frequency according to the difference in propeller rotation speed in each situation, such as drone type, angle, distance, and drone movement mode. In addition, the main frequency range and overall SPL derivation technology for each drone is required, and the data is collected and stored.

The anti-drone detection system for privacy protection of the present invention detects drones using an acoustic detection sensor (1). The first step is to establish measurement methods and standards such as the drone's exercise mode, then collect acoustic sensor data, and the second step is to detect background noise. ) and local SPL graph comparison analysis of the drone, step 3 is spectrogram analysis according to the drone's movement mode, step 4 is derivation of the drone's main sound frequency, overall SPL, and SPL by distance and angle through step 2 and 3 analysis, 4 Based on the results of this step, the drone detection suitability and sensor data analysis technology of the acoustic detection sensor 14 are secured and stored in the database to enable drone detection and drone location estimation through acoustic sensor data collected in real time.

In addition, the server is connected to the AWG Cloud (10) and the mobile client browser (11) through a mobile communication network and transmits a signal notifying the drone's location and intrusion.

Figure 4 is an exemplary diagram showing the interior of the drone scanner of the present invention.

The drone scanner (2) has a main body (12) with a rotating stand (13) coupled to the bottom and a sound cam (3) with an acoustic detection sensor (14) installed on the front, and a bottom inside the main body (12). A drive motor 5 is installed, and the drive arm 15 of the drive motor 5 is connected to the rotation stand 13 to rotate the main body 12 in the left and right directions, and the drive motor 12 is inside the main body 12. (5') is installed, and the drive arm 15' of the drive motor 5' is connected to the sound cam 3 and rotates the sound cam 3 in the up and down directions.

Therefore, the sound cam (3) and the main body rotate in a range of ±30° left and right for each angle by the drive motor (5), and the sound cam (3) rotates in a range of 0 to 30° up and down, and the sound detection sensor (14) It is possible to detect drones approaching at a distance of less than 300m.

To describe an embodiment of the anti-drone detection system for privacy protection of the present invention, a drone scanner (2) is installed in buildings (structures) including high-rise buildings, apartments, hotels, etc.

The acoustic detection sensor 14 of the drone scanner 2 detects the acoustic (noise) frequency generated from the propeller when the drone enters the detection area.

The acoustic frequency data of the detected drone is transmitted to the server (9) through the communication unit (7).

The sound frequency data of the detected drone transmitted to the server 9 is analyzed and compared with pre-entered data and stored.

Through the analyzed data, a signal notifying the drone's location and intrusion is transmitted to the client computer browser (7).

As described above, detecting a drone based on the acoustic detection sensor 14 is inexpensive, safe, and protects privacy. Privacy is protected by detecting acoustic (sound wave) frequencies generated from motors, propellers, etc., rather than the existing radar (electromagnetic wave) method. It can detect all existing flying objects, including intruding drones.

In the present invention, the anti-drone detection system 1 for privacy protection is structured so that the acoustic detection sensor 14 can detect drones even if there are obstacles, and can also detect drones that do not emit RF signals.

1: Anti-drone detection system for privacy protection
2: Drone Scanner 3: Sound Cam
4: Hub 5, 5': Drive motor
6: Communication Department 7: Client computer browser (Browser)
8: Database 9: Server
10: AWS Cloud 11: Portable Client Browser
12: Main body 13: Rotating stand
14: Acoustic detection sensor 15, 15': Drive arm

Claims (5)

A sound cam (3) that detects the sound (noise) frequency generated from the propeller by driving the drone's motor by the sound detection sensor (14), and the sound cam (3) is connected to the hub (4) and Ethernet, the hub 4 is connected to the communication unit (POE: Power over Ethernet) 6 and Ethernet, and the sound cam 3 is connected to the drive motors 5 and 5'. Drone scanner (2) moving forward, backward, left, and right; and
A communication unit (POE: Power over Ethernet) (6) installed in the sound cam (3) and connected to the server (9) and Ethernet to transmit the data of the intruding drone transmitted through the hub (4); and
A database (8) that pre-stores data collected by drone, angle, and distance through an acoustic detection sensor for the sound (noise) generated by the propeller of the drone, and the data stored in the database (8) A server (9) that analyzes data from the detected drone and then notifies the browser of the linked client computer of the drone's intrusion; and
An anti-drone detection system for privacy protection, characterized by a control unit that controls it.
According to claim 1, since the acoustic detection sensor consists of stationary hovering, up and down movement, forward and backward movement, rotational movement in place, and left and right movement according to the movement mode of the drone, the two propellers are bundled into one unit. An anti-drone detection system for privacy protection, characterized in that when a difference in rotation occurs, the sound pattern emitted is different and the sound time difference is detected accordingly using TDOA (Time Difference of Arrival) technology.
The anti-drone detection system for privacy protection according to claim 1, wherein the sound cam (3) has a plurality of sound detection sensors (14) arranged on the front.
According to claim 1, the drone scanner (2) includes a main body (12) to which a rotating stand (13) is coupled to the lower part and a sound cam (3) with an acoustic detection sensor (14) installed to the front, and the main body (12) A drive motor 5 is installed on the inner floor, and the drive arm 15 of the drive motor 5 is connected to the rotation stand 13 to rotate the main body 12 in the left and right directions, and the main body (12) 12) A drive motor (5') is installed inside, and the drive arm (15') of the drive motor (5') is connected to the sound cam (3) and rotates the sound cam (3) in the up and down directions. Anti-drone detection system for privacy protection.
The anti-drone detection system according to claim 1, wherein the server transmits a signal notifying the location and intrusion of the drone to the mobile client browser (11) through a mobile communication network.