KR20200065917A - System and method for preventing crime using gps data - Google Patents

Abstract

The present invention relates to a system for preventing crime by using global positioning system (GPS) data and location-based service (LBS) data and a method thereof. In particular, according to the present invention, GPS data or LBS data is received from a plurality of mobile terminals and analyzed to determine density, shape of movement, speed, place and time. In addition, a crime score is determined by performing AI analysis on each of the determined elements by using accumulated big data and the sum is found to calculate the total crime score. The total crime score is compared with first and second setting values to determine crime possibility so as to transmit display data corresponding to the first setting value to at least one of a police station server and a guidance terminal when the crime possibility is greater than or equal to the first setting value, thereby preventing crime.

Description

Crime prevention system and method using GPS data or LBS data{SYSTEM AND METHOD FOR PREVENTING CRIME USING GPS DATA}

The present invention relates to a crime prevention system and method using GPS (Global Positioning System) data or LBS (Location Based Service) data, in particular, by receiving and analyzing GPS data or LBS data from a plurality of mobile terminals, density, movement form, Determine the speed, place and time, AI analyze each of the determined factors using accumulated big data to determine the crime score, calculate the total crime score, and compare the total crime score with the first and second set values The present invention relates to a crime prevention system and method using GPS data or LBS data to determine a possibility of a crime and deliver corresponding display data to one or more of a police station server and a guardian terminal when the first set value is exceeded.

Recently, the anxiety of the general public has increased due to the frequent crimes of children and women, but limited security personnel and equipment lack the means and methods to respond, and in order to respond to these crimes, security authorities, local governments, and telecommunication companies have advanced We are looking for a way to respond using IT technology, and currently developed or promoted, students pass through a sensor attached to a bag with RFID tags that contain the student's personal information, such as name and contact information, through sensors detected at schools and school roads. A system for securing child safety using an RFID tag that transmits photos taken at the time to a guardian's cell phone, and when a child presses the button of the emergency caller equipped with GPS in a dangerous situation, the CCTV installed nearby automatically sounds a warning sound and the emergency caller It aims to shoot the location and transmit the video to 112 or 119 centers, schools, parents' mobile phones, etc. Usually, parents can use the GPS receiver and CCTV to check their children's location in real time via the Internet or mobile phones. There is a kidnapping prevention system, and as a commercialized service, an automatic identification system installed on the front door recognizes the electronic name tag attached to the child's bag when you go to and from school. However, in the case of RFID tag system and GPS (satellite navigation system) CCTV linkage system, RFID reader, photo transmission system or pager, and directional CCTV must be installed on all children's paths. It is possible, but in rural areas with low population density, it is difficult to apply due to a wide area, and there is a limit to the readable distance of RFID readers and the range of CCTV cameras. There was a problem in that even if a criminal approached a child and committed a crime, no preventive or protective measures were taken. Therefore, recently, a law was adopted that monitors criminals by filling in electronic bracelets (or electronic anklets) with criminals targeted at children, and in response, it detects the frequency of electronic bracelets and alerts them, as well as a technology to notify the police and parents, etc. It has been done.

In the Korean Patent Registration No. 1453248 (hereinafter referred to as prior art), a map showing the location of the wearer of the electronic anklet is used to map the information matching the location of the user and the electronic anklet to the user terminal in the risk tracking server. Disclosed is a crime prevention monitoring system for electronic anklet wearers that can protect themselves from electronic anklet wearers by providing real-time monitoring.

However, this prior art is a method of inducing crime prevention by monitoring the position of the wearer who wears the electronic anklet, so if the criminal removes the electronic anklet or the electronic anklet malfunctions, it does not work and induces crime prevention. Therefore, there is a problem that the crime prevention effect cannot be achieved if the person in danger is not focused without monitoring.

Therefore, the present invention has been made to solve the above-described conventional problems, and the object of the present invention is to detect the possibility of crime by simply having a mobile terminal and automatically deliver it to the police station server and the guardian terminal when placed in a dangerous situation. Therefore, it is to provide a crime prevention system and method using GPS data or LBS data, which has excellent crime prevention effects.

To achieve the above object, according to an embodiment of the present invention, a crime prevention system using GPS data or LBS data includes: a GPS/LBS data receiver configured to receive GPS data or LBS data from a plurality of mobile terminals; A GPS/LBS data analysis unit configured to determine density, movement type, speed, place and time by analyzing the GPS data or LBS data; Each of the factors determined by the GPS/LBS data analysis unit (density, movement type, speed, place, and time) is analyzed by AI using accumulated big data to determine the crime score, and the total crime score is calculated by summing the crime score, A crime likelihood determination unit configured to calculate the likelihood of crime by comparing the total crime scores with the first and second set values; And a display data generator configured to generate and display display data of "special information" or "criminal possible" when the possibility of the crime is greater than or equal to a set value.

In the crime prevention system using the GPS data or LBS data according to the embodiment of the present invention, if the total crime score is less than the first set value or less than the second set value, the crime probability determining unit determines "specific matter" , If the total crime score is greater than or equal to the second set value, it may be determined as "criminal possible".

In order to achieve the above object, according to another embodiment of the present invention, a crime prevention method using GPS data or LBS data comprises: a GPS/LBS data receiving unit receiving GPS data or LBS data from a plurality of mobile terminals; The GPS/LBS data analysis unit analyzes the GPS data or LBS data to determine density, movement type, speed, place, and time; Determining a crime score by AI analysis of each of the determined factors (density, movement type, speed, place, and time) of the crime probability determining unit and calculating a total crime score by summing the crime score; Determining whether the total crime score is greater than or equal to a first set value by the crime probability determination unit; If the total crime score is greater than or equal to the first set value, determining whether the total crime score is greater than or equal to a second set value by the crime probability determining unit; And if the total crime score is greater than or equal to the second set value, the crime probability determining unit determines that the crime is possible, and the display data generation unit generates display data called “criminal possible” to one or more of the guardian terminal and the police station server. And providing a warning signal from one or more of the guardian terminal and the police station server in addition to the delivery.

In the crime prevention method using the GPS data or the LBS data according to the other embodiment, in the determination step of whether or not the second set value or more, if the total crime score is less than the second set value, "special" Determining, and at this time may further include the step of informing the at least one of the guardian terminal and the police station server.

According to the crime prevention system and method using GPS data or LBS data according to an embodiment of the present invention, GPS data or LBS data is received from a plurality of mobile terminals, and the GPS data or LBS data is analyzed to provide density and movement form. , Determines the speed, place and time, AI analyzes the determined factors (density, movement type, speed, place and time) using accumulated big data to determine the crime score, calculates the total crime score by summing the total , It is determined whether the total crime score is greater than or equal to the first set value, and if the total crime score is greater than or equal to the first set value, it is determined whether the total crime score is greater than or equal to the second set value, and the total crime If the score is greater than or equal to the second set value, it is determined to be "criminal possible", and at this time, the display data "criminal possible" is generated and transmitted to at least one of the guardian terminal and the police station server, and at least one of the guardian terminal and the police station server is generated. By configuring to generate a warning signal, it is excellent in crime prevention because it can detect the possibility of a crime simply by carrying a mobile terminal and automatically deliver it to the police station server and guardian terminal when it is in danger.

1 is a block diagram of a crime prevention system using GPS data or LBS data according to an embodiment of the present invention.
2 is a flowchart illustrating a crime prevention method implemented by a crime prevention system using GPS data or LBS data according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

1 is a block diagram of a crime prevention system using GPS data or LBS data according to an embodiment of the present invention.

According to an embodiment of the present invention, a crime prevention system 100 using GPS data or LBS data, as shown in FIG. 1, a GPS/LBS data receiving unit 110, a GPS/LBS data analysis unit 120, And a crime possibility determining unit 130 and a display data generating unit 140.

The GPS/LBS data receiving unit 110 serves to receive GPS data or LBS data from a plurality of mobile terminals M and deliver them to the GPS/LBS data analysis unit 120.

The GPS/LBS data analysis unit 120 analyzes GPS data or LBS data received from the GPS/LBS data receiving unit 110 to determine the density, movement type, speed, place and time of mobile terminal (M) holders Do it.

The crime likelihood determination unit 130 determines the crime score by AI analysis of the factors (density, motion type, speed, place, and time) determined by the GPS/LBS data analysis unit 120 using the accumulated big data, It plays a role of calculating the total crime score by taking the total sum and comparing the total crime score with the first and second set values.

That is, if the total crime score is greater than or equal to the first set value or less than the second set value, it is determined as "special" (that is, the likelihood of crime is not high, but should be watched). It is possible" (that is, a high risk of crime).

The display data generation unit 140 generates display data corresponding to the corresponding situation when it is determined to be "special" by the crime possibility determination unit 130, while the display data corresponding to the warning signal when it is determined to be "criminal possible" Generates, serves to deliver to one or more of the guardian terminal (S) and the police station server (P).

On the other hand, the police station server (P), if the analysis area of the GPS data or LBS data is difficult to observe the CCTV can send a drone to shoot the area.

A crime prevention method implemented by a crime prevention system using GPS data or LBS data according to an embodiment of the present invention configured as described above will be described.

2 is a flowchart for explaining a crime prevention method implemented by a crime prevention system using GPS data or LBS data according to an embodiment of the present invention, where S means a step.

First, the GPS/LBS data receiving unit 110 receives GPS data or LBS data from a plurality of mobile terminals M (S10), and the GPS/LBS data analysis unit 120 analyzes the received GPS data or LBS data Thus, the density, movement type, speed, place and time are determined (S20).

Subsequently, the crime likelihood determination unit 130 analyzes AI using the accumulated big data for each of the determined elements (density, movement type, speed, place, and time) to determine the crime score (using a weight assigned according to the criteria set therein). The crime score is calculated) to determine the total crime score by calculating the total sum (S30).

Thereafter, it is determined whether the total crime score is greater than or equal to the first set value by the crime likelihood determination unit 130 (S40).

In step S40, if the total crime score is greater than or equal to the first set value (YES), it is determined whether the total crime score is greater than or equal to the second set value by the crime likelihood determination unit 130 (S50).

On the other hand, if the total crime score in step S40 is less than the first set value (NO), the process proceeds to step S10.

If the total crime score in the step (S50) is greater than or equal to the second set value (YES), the possibility of crime determination unit 130 determines that "criminal is possible", and at this time, the display data generation unit 140 is "criminal possible" The display data is generated and transmitted to at least one of the guardian terminal S and the police station server P, and at least one of the guardian terminal S and the police station server P generates a warning signal (S60).

If the total crime score in the step (S50) is less than the second set value (NO), the likelihood determination unit 130 determines as "special information", at this time, the guardian terminal (S) and the police station server (P) Inform one or more of them (S70).

According to the crime prevention system and method using the GPS data or LBS data according to an embodiment of the present invention configured as described above, receiving GPS data or LBS data from a plurality of mobile terminals, and analyzing the GPS data or LBS data Determine the density, movement type, speed, place and time, and analyze each AI using the accumulated big data of the determined factors (density, movement type, speed, place, and time) to determine the crime score and total the total crime Calculate a score, determine whether the total crime score is greater than or equal to a first set value, determine whether the total crime score is greater than or equal to a second set value if the total crime score is greater than or equal to the first set value, When the total crime score is greater than or equal to the second set value, it is determined to be "criminal", and at this time, the display data of "criminal possible" is generated and transmitted to one or more of the guardian terminal and the police station server, and the guardian terminal and the police station server By configuring the warning signal to be generated by one or more of them, it is possible to detect the possibility of crime by simply having a mobile terminal and automatically deliver it to the police station server and the guardian's terminal when it is in danger.

In the drawings and the specification, an optimal embodiment has been disclosed, and specific terms have been used, but this is only for the purpose of describing the embodiments of the present invention, and is used to limit the meaning or limit the scope of the present invention described in the claims. It is not done. Therefore, those skilled in the art will appreciate that various modifications and other equivalent embodiments are possible. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

M: Mobile terminal
100: crime prevention system
110: GPS/LBS data receiver
120: GPS / LBS data analysis unit
130: crime possibility determination unit
140: display data generation unit
S: Guardian terminal
P: Police Station Server

Claims (4)

A GPS/LBS data receiver 110 configured to receive GPS data or LBS data from a plurality of mobile terminals M;
A GPS/LBS data analysis unit 120 configured to determine density, movement type, speed, place and time by analyzing the GPS data or LBS data;
Each of the factors determined by the GPS/LBS data analysis unit (density, movement type, speed, place, and time) is analyzed by AI using accumulated big data to determine the crime score, and a total sum is calculated to calculate the total crime score, A crime likelihood determination unit 130 configured to calculate the likelihood of crime by comparing the total crime scores with the first and second set values; And
Display data generating unit 140 configured to generate and display display data of "special information" or "criminal possible" when the possibility of the crime is greater than or equal to a set value, and transmit it to one or more of the guardian terminal S and the police station server P Including, crime prevention system using GPS data or LBS data. According to claim 1,
The crime possibility determination unit
If the total crime score is greater than or equal to the first set value and less than the second set value, it is determined as "special information",
A crime prevention system using GPS data or LBS data, which determines that "the crime is possible" if the total crime score is greater than or equal to a second set value. A crime prevention method using the crime prevention system using the GPS data or LBS data according to claim 1,
The GPS/LBS data receiving unit 110 receives GPS data or LBS data from a plurality of mobile terminals M;
The GPS/LBS data analysis unit 120 analyzes the GPS data or LBS data to determine density, movement type, speed, place, and time;
The crime probability determining unit 130 analyzes AI using the accumulated big data of each of the determined elements (density, movement type, speed, place, and time) to determine the crime score and calculates the total crime score by summing the crime score;
Determining whether the total crime score is greater than or equal to a first set value by the crime possibility determining unit 130;
Determining whether the total crime score is greater than or equal to a second set value by the crime probability determining unit 130 when the total crime score is greater than or equal to the first set value; And
If the total crime score is greater than or equal to the second set value, the crime likelihood determination unit 130 determines that it is "criminal possible", and at this time, the display data generation unit 140 generates display data called "criminal possible" (S) and transmitting to one or more of the police station server (P) and at least one of the guardian terminal (S) and the police station server (P) to generate a warning signal; including, GPS data or LBS data Crime prevention method using. The method of claim 3,
In the step of determining whether or not the second set value or more,
When the total crime score is less than the second set value, it is determined to be "special", and at this time, further comprising the step of informing the at least one of the guardian terminal (S) and the police station server (P), GPS data or Crime prevention method using LBS data.

Images