KR101934345B1 - Field analysis system for improving recognition rate of car number reading at night living crime prevention - Google Patents

Abstract

The present invention relates to a field analysis system for improving a recognition rate of reading a license plate number at night and reading a specific image on daily crime prevention. To this end, the field analysis system comprises: a field facility in which a camera for recognizing a license plate number of an entering vehicle and a predefined object is provided; a geographic information server for providing three-dimensional geographic information around the field facility; and an integrated control server for reflecting moonlight information for each date to reflect onto the three-dimensional geographic information around the field facility received from the geographic information server so as to provide parallax light amount distribution around the field facility as a three-dimensional image form and reflecting direct lighting information directly incident to the field facility by a surrounding lighting device and the light amount of the surrounding lighting device onto the three-dimensional geographic information so as to provide indirect lighting information indirectly incident to the field facility as a three-dimensional image form.

Description

BACKGROUND OF THE INVENTION Field of the Invention The present invention relates to a field analysis system,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an on-site analysis system for improving a nighttime car number and a specific image reading recognition rate on a life crime scene, and more particularly, And informs the user of the resultant value.

The car number recognition system is a system for recognizing the car number by using the image taken by the car number reading camera for road security. The camera used in the car number recognition system mainly uses a non-interlaced progressive scan camera.

The life security camera is a camera installed in an intersection or an alleyway of a wide angle of view, not a car number readout recognition, and mainly uses a camera having high resolution and super low lightness characteristics.

Also, in order to have a high recognition rate, the image data input from the camera needs a certain level of brightness or more. However, the brightness of the image varies with time, and even at the same time, it has different values depending on the sunny and cloudy days.

Particularly, the driving type car number recognition system sometimes does not recognize the car number because the brightness changes instantaneously when recognizing the car number of the car between buildings or trees.

Also, when the sunlight is strong, the image saturation phenomenon occurs, and the image of the license plate is displayed as white as a whole.

Therefore, in order to obtain the image brightness suitable for license plate recognition, two important parameters of the camera are to adjust the electronic shutter speed and gain appropriately.

The shutter speed controls the amount of light input to the camera, and the gain determines the gain required to convert the input analog data into digital data. Generally, in order to obtain a bright image, a shutter speed and a gain value may be set to the maximum value, but at the same time, the noise is also maximized and the image quality is deteriorated.

Especially when the camera is used in a nighttime lighting system, when the shutter speed is maximized, the reflected light causes image data to be damaged. On the other hand, if the value is too low, the brightness of the image is too dark, resulting in a failure to recognize the vehicle number.

In order to solve the above problem, a camera control method for vehicle number recognition capable of appropriately controlling the image level value in various environments with different brightness has been proposed.

However, the conventional camera control method for car number recognition is a method of improving the car number recognition rate after installing the camera once without considering the environment of the site where the camera is installed.

KR 10-2009-0067230 A

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned technical problems, and it is an object of the present invention to provide a nighttime vehicle number and a life time which can simulate a specific image recognition rate on a car number and a life style of a camera, Provides a site analysis system for improving the recognition rate of a specific image reading out of a crime scene.

According to an embodiment of the present invention, an on-site facility equipped with a camera for recognizing a vehicle number of an entering vehicle and a predefined object; A geographical information server for providing three-dimensional geographical information around the on-site facilities; And providing a three-dimensional image form of a temporal light amount distribution around the on-site facility by reflecting moonlight information by date on three-dimensional geographical information provided from the geographical information server, An integrated control server for providing indirect lighting information indirectly incident on the on-site facility in a form of a three-dimensional image reflecting direct light information directly inputted to the on-site facility and reflecting the light amount of the surrounding lighting apparatus to the three-dimensional geographical information; And an on-site analysis system for improving the recognition rate of a specific image of the life crime scene is provided.

Also, the integrated control server may simulate the vehicle number recognition rate and the object recognition rate of the camera by applying at least one of the temporal light amount distribution, the direct illumination information, and the indirect illumination information to the photographing performance information of the camera .

Further, the integrated control server applies at least one or more of the above-described time-varying light amount distribution, the direct lighting information, the indirect lighting information, and the light amount information of the entering vehicle headlight to the photographing performance information of the camera, The recognition rate and the object recognition rate are simulated.

In addition, the integrated control server may further reflect the photographing direction, the horizontal position, and the vertical position of the camera to simulate the vehicle number recognition rate and the object recognition rate of the camera.

The integrated control server further simulates the vehicle number recognition rate and the object recognition rate of the camera after additionally reflecting at least one auxiliary illumination at a specific location using the three-dimensional geographical information around the on-site facilities .

In addition, the on-site facility may further include a detection sensor for detecting a position of a headlight of an entering vehicle, and may detect at least one of a photographing direction, a horizontal position, and a vertical position of the camera based on the headlight position sensed by the sensing sensor Is automatically adjusted.

In addition, the on-site facility may further include a position sensor for sensing a position and a distance of at least one predetermined object among a person, a motorcycle, a bicycle, a cart, a wagon, and a cultivator, And at least one of a photographing direction, a horizontal position, and a vertical position of the camera is automatically adjusted based on the position of the object.

The field analysis system for improving the recognition rate of reading a specific image and the nightcar number according to the embodiment of the present invention may be implemented by simulating the vehicle number recognition rate of the camera and the object recognition rate in advance in consideration of the environmental conditions of the on- can do. Therefore, it is possible to easily select the installation position of the camera and the camera in consideration of the simulation result.

Especially, in order to read the vehicle number using the life security camera, it is necessary to accurately recognize the change in the light amount of the surrounding environment. If the field analysis is clearly made, if a camera corresponding to the camera is selected or a new addition is made, It is possible to improve the recognition rate of the nightcar number reading system.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram of a site analysis system 1 for improving a nighttime car number and a specific image reading recognition rate on a life insurance policy according to an embodiment of the present invention. FIG.
2 is a block diagram of a field facility 100 equipped with a camera 110 for recognizing a car number of an entering vehicle and a specific image of a life crime scene.
FIGS. 3 to 3B are views showing three-dimensional geographical information around the on-site facility 100 provided by the geographical information server 200. FIG.
4 is a diagram showing illumination information around the on-site facility 100 provided by the integrated control server 300;
5 is a diagram illustrating a process of recognizing a specific image of a life crime scene.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, in order to facilitate a person skilled in the art to easily carry out the technical idea of the present invention.

FIG. 1 is a block diagram of an on-site analysis system 1 for improving a nighttime car number and a specific image reading recognition rate of a life crime prevention image according to an embodiment of the present invention. And a camera 110 for recognizing the location of the on-site facility 100. FIG.

The field analysis system 1 for improving the nighttime car number and the image reading and recognizing rate of a specific image on the life crime scene according to the present embodiment includes only a simple structure for clearly explaining the technical idea to be proposed.

1, a site analysis system 1 for improving nighttime car number and a specific image reading recognition rate on a life crime scene includes an on-site facility 100, a geographic information server 200 and an integrated control server 300 do.

The detailed configuration and main operation of the field analysis system 1 for improving the nighttime car number and the image reading and recognition rate of a specific image on the life insurance policy will be described as follows.

The on-site facility 100 is equipped with a camera 110 that recognizes the vehicle number of the entering vehicle and predefined objects. At least one camera 110 may be provided, and a plurality of light emitting diodes may be incorporated to identify a vehicle number and a predefined object at night as well as during a day.

Predefined objects are defined as people, motorcycles, bicycles, carts, wagons, tillage machines and the like as specific images of life crime scenes.

That is, the field facility 100 includes a camera 110, a vertical support 120, and a support arm 130.

The vertical support 120 is supported in the form of a cylinder or a hexahedron so as to be elongated in the upward direction. The vertical supports 120 may be fixedly mounted on the ground or may be arranged in a mobile form to obtain simulation information.

The support arm 130 is attached to one side of the vertical support 120 to support the camera 110.

A moving part (not shown) may be disposed in a contact area between the supporting arm 130 and the vertical supporting part 120, and the moving part may be composed of a motor, a cylinder, or the like.

The support arm 130 is configured to move up and down along the vertical support 120 through the moving part.

In addition, a rotation part (not shown) may be disposed in the contact area between the support arm 130 and the camera 110, and the rotation part may be configured to rotate the camera 110 in the 360 degree direction.

Also, the support arm 130 is provided with a horizontal rail (not shown) so that the camera 110 can move horizontally along the horizontal rail.

Further, auxiliary light 140 may be disposed on vertical support 120. In this embodiment, the auxiliary illumination 140 is disposed to provide auxiliary illumination to the camera 110 when photographing the license plate, and thus may be disposed on the support arm 130 according to an embodiment, At least one of which may be disposed at various positions.

In addition, the field facility 100 may further comprise a sensing sensor (not shown) for sensing the position of the headlight of an incoming vehicle.

At this time, the photographing direction of the camera 110 can be automatically adjusted based on the position of the headlight detected by the detection sensor. That is, the vertical position and the horizontal position of the license plate may be different depending on the type of the vehicle. Accordingly, at the nighttime, the position of the license plate is predicted based on the position of the headlamp of the vehicle, and the photographing direction of the camera 110 is automatically adjusted, thereby improving the vehicle number recognition rate.

For example, in the case of a vehicle reading, two headlights are provided on the front of the vehicle. The sensor senses the light of each headlight, predicts the vertical height, senses the midpoint between the two headlights, It will be possible.

The on-site facility 100 may further include a position detection sensor for detecting a position and a distance of at least one predefined object among a person, a motorcycle, a bicycle, a cart, a wagon, and a cultivator.

At this time, at least one of the photographing direction, the horizontal position, and the vertical position of the camera 110 can be automatically adjusted based on the position of the object sensed by the position sensing sensor.

Since the position detection sensor is a sensor that can detect the shape, motion information, movement speed, position, and distance of a person, a motorcycle, a bicycle, a wagon, a cart and a cultivator, The photographing direction is automatically adjusted to improve the specific image recognition rate. That is, the photographing direction of the camera 110 can be automatically adjusted based on the type, motion information, motion speed, position, and distance of the object sensed by the position sensing sensor.

FIGS. 3 to 3B are views showing three-dimensional geographical information around the on-site facility 100 provided by the geographical information server 200. FIG.

Referring to FIG. 3, the geospatial information server 200 provides three-dimensional geographical information around the on-site facilities 100. Here, the three-dimensional geographical information may include the height of the building, the road information (width, altitude difference, turning radius), street lamp position, and the like corresponding to the predetermined radius around the site facility 100.

On the other hand, the integrated control server 300 reflects the moonlight information by date on the three-dimensional geographical information around the on-site facility 100 provided from the geographical information server 200, Dimensional image format. The temporal light intensity distribution can be projected in geographic information and displayed in the form of a three-dimensional image.

In addition, the integrated control server 300 may directly reflect the direct illumination information directly incident on the on-site facility 100 by the surrounding lighting apparatus and the indirect illumination information on the on-site facilities 100 And provides indirect illumination information as a three-dimensional image.

The light amount distribution by the direct illumination information and the indirect illumination information can be projected in the geographical information and displayed in the form of a three-dimensional image. In addition, the direct illumination information and the indirect illumination information may be individually selected and displayed, or may be displayed as an integrated light amount distribution overlapping each other.

Here, the surrounding lighting device can be defined as a device that emits light of a certain level or more at night such as a streetlight, a signboard, and the like.

For reference, the information on the surrounding lighting apparatus may be obtained by arranging a plurality of actual light control sensors, receiving information such as streetlight and signboard information (position, brightness, light output form) ), It is possible to grasp the direct lighting information / indirect lighting information virtually.

3A, the geographical information server 200 provides three-dimensional geographical information around the on-site facilities 100, and can display a satellite image or a screen to which an aerial photograph is applied. Here, the three-dimensional geographical information may include the height of the building, the road information (width, altitude difference, turning radius), street lamp position, and the like corresponding to the predetermined radius around the site facility 100. At this time, when the field facility 100 is selected, a photograph of the site can be enlarged and displayed.

3B, the geographical information server 200 may display the 2D / 3D images around the selected site facility 100 by matching projection.

4 is a diagram showing illumination information around the on-site facility 100 provided by the integrated control server 300. FIG.

As described above, the integrated control server 300 can display the light amount distribution by direct lighting information and indirect lighting information on the geographical information and display it in the form of a three-dimensional image.

At this time, the integrated control server 300 can display the light amount distribution from the viewpoint of the camera 110 of the field facility 100.

4 shows the light amount distribution at the photographing time point of the camera 110. The range of coordinates (0,0) to (2,2) corresponds to the photographing range of the camera, and the light amount distribution for each coordinate is displayed. FIG. 4 shows a two-dimensional light amount distribution displayed at the viewpoint of the camera, but the light amount distribution may be three-dimensionally displayed according to the viewpoint change. That is, a spatial light amount distribution can be displayed.

In addition, when the integrated control server 300 selects a space outside the photographing range of the camera, the light amount distribution of the area may be three-dimensionally displayed as in the selected areas SEL1 and SEL2 in FIG. In addition, when a rectangular area of the camera 110 occurs, the rectangular area can be displayed.

That is, the integrated control server 300 applies at least one or more of the time-lapse light amount distribution, the direct illumination information, and the indirect illumination information to the photographing performance information of the camera 110, , And it is possible to simulate the vehicle number recognition rate and the object recognition rate of the camera 110 based on the light amount distribution.

Here, the photographing performance information of the camera 110 may include the number of effective pixels, a filter, a photographing resolution, a compression ratio, a lens, a lens brightness, a focal length, a focus adjustment method,

In addition, the integrated control server 300 applies the light amount distribution determined in the photographing performance information of the camera 110, assumes that the virtual vehicle is moved using the three-dimensional geographical information, And object recognition rate. At this time, the integrated control server 300 may provide the vehicle number recognition rate per distance when the virtual vehicle approaches in the direction in which the camera 110 is disposed.

On the other hand, the integrated control server 300 can use the reference photographing information actually obtained by the camera 110 as a reference when the test vehicle is actually operated in a nightly reference environment (standard environment). That is, it is possible to simulate the vehicle number recognition rate and the object recognition rate of the camera 110 by applying at least one of the temporal light amount distribution, the direct illumination information, the indirect illumination information, and the light amount information of the entering vehicle headlight to the reference photographing information .

As described above, the integrated control server 300 applies at least one or more of the time-lapse light amount distribution, the direct lighting information, the indirect lighting information, and the light amount information of the entering virtual or test vehicle headlight to the photographing performance information of the camera 110, The light amount distribution can be displayed three-dimensionally from the viewpoint of the light source 110, and the vehicle number recognition rate and the object recognition rate of the camera 110 can be simulated based on the light amount distribution.

Here, the photographing performance information of the camera 110 may include the number of effective pixels, a filter, a photographing resolution, a compression ratio, a lens, a lens brightness, a focal length, a focus adjustment method,

At this time, the integrated control server 300 may additionally reflect the photographing direction, the horizontal position, and the vertical position of the camera 110 to simulate the vehicle number recognition rate and the object recognition rate of the camera 110. [

In addition, the integrated control server 300 may additionally reflect at least one auxiliary illumination 140 at a specific position by virtually using the three-dimensional geographical information around the on-site facility 100, And object recognition rate.

As shown in FIG. 2, when the auxiliary illumination 140 is actually installed, the auxiliary illumination 140 may be actually operated and then the reflected light amount may be reflected to simulate the vehicle number recognition rate and the object recognition rate of the camera 110 , It is possible to simulate the vehicle number recognition rate and the object recognition rate of the camera 110 by virtually adding the auxiliary illumination on the three-dimensional geographical information.

When the building surface information is added to the three-dimensional geographical information, consideration is given to the material information (concrete, glass, metal, paint color, etc.) of the building surface, It is possible to provide the red light amount distribution in the form of a three-dimensional image.

Such a building surface information may be provided from a previously secured building database or the integrated control server 300 may be connected to a separate map server to display a ROAD VIEW or a STREET VIEW, The building surface information may be obtained by recognizing the material of the building displayed on the screen.

The integrated control server 300 reflects virtual cloud information and moonlight information by date on the three-dimensional geographical information around the on-site facility 100 provided from the geographical information server 200, A temporal light amount distribution may be provided in the form of a three-dimensional image.

In addition, the integrated control server 300 may use the three-dimensional geographical information around the on-site facilities 100 provided from the geographical information server 200, It is possible to provide the three-dimensional image form of the temporal light quantity distribution around the on-site facility 100 by virtually adding the headlight information of the headlight of the on-

In addition, the integrated control server 300 may simulate the vehicle number recognition rate and the object recognition rate of the camera by applying at least one of the temporal light amount distribution, the direct illumination information, and the indirect illumination information to the photographing performance information of the camera 110, It is possible to easily select the camera 110 capable of achieving the target recognition rate by providing the recognition rate change when the photographing performance information of the camera 110 is changed.

5 is a diagram illustrating a process of recognizing a specific image of a life crime scene.

Referring to FIG. 5, the position sensor provided in the field facility 100 may detect the position and distance of at least one of a predetermined object, such as a person, a motorcycle, a bicycle, a cart, a wagon, and a cultivator.

The first figure 51 shows an operation of recognizing the shape of a person in the position detection sensor and operates to detect a plurality of persons.

The second figure 52 shows the operation of recognizing the shape of the bicycle, and operates not only in the form of a bicycle but also in a person who is on the bicycle.

The third figure 53 shows the operation of recognizing the shape of the cultivator, and it operates to detect not only the shape of the cultivator but also a plurality of persons aboard the cultivator.

The fourth figure 54 illustrates the operation of recognizing the shape of the headwheel and operates to detect not only the shape of the headwheel but also the animal that moves the headwheel. In addition, it operates to detect the shape of the object mounted on the car.

FIG. 5 shows an operation for recognizing a motorcycle and operates to detect not only a motorcycle type but also a plurality of people aboard the motorcycle.

At this time, at least one of the photographing direction, the horizontal position, and the vertical position of the camera 110 can be automatically adjusted based on the position of the object sensed by the position sensing sensor.

Since the position detection sensor is a sensor that can detect the shape, motion information, movement speed, position, and distance of a person, a motorcycle, a bicycle, a wagon, a cart and a cultivator, The photographing direction is automatically adjusted to improve the specific image recognition rate. That is, the photographing direction of the camera 110 can be automatically adjusted based on the type, motion information, motion speed, position, and distance of the object sensed by the position sensing sensor.

The field analysis system (1) for improving the recognition rate of the nighttime car number and the life image of the life crime according to the embodiment of the present invention detects the car number recognition rate and the object recognition rate of the camera in consideration of the environmental conditions of the on- Can be simulated in advance. Therefore, considering the simulation results, it is possible to easily select the position of the camera, the installation position of the camera, and the position of the auxiliary illumination.

Thus, those skilled in the art will appreciate that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the embodiments described above are to be considered in all respects only as illustrative and not restrictive. The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: On-site facilities
110: camera
120: vertical support
130: Support arm
140: auxiliary lighting
200: Geographic Information Server
300: Integrated control server

Claims (7)

An on-site facility equipped with a camera for recognizing a vehicle number of an entering vehicle and a predefined object;
A geographical information server for providing three-dimensional geographical information around the on-site facilities; And
Dimensional light image distribution around the on-site facilities by reflecting the moonlight information and the virtual cloud information by date on the three-dimensional geographical information provided from the geographical information server and providing the three- Dimensional image data, indirect lighting information indirectly incident on the on-site facility by reflecting the amount of light of the surrounding lighting apparatus to the three-dimensional geographical information, A control server,
Wherein the integrated control server applies at least one of the temporal light amount distribution, the direct lighting information, the indirect lighting information, and the light amount information of the entering vehicle headlamp to the photographing performance information of the camera, In simulating the object recognition rate, when the building surface information is included in the three-dimensional geographical information, the temporal light amount distribution is further calculated by taking the material information of the building surface into consideration, Wherein the virtual vehicle identification information is virtually added to the headlight information to calculate the temporal light amount distribution and provides the vehicle number recognition rate for each distance when the virtual vehicle approaches the direction in which the camera is disposed. Field analysis system for improving recognition rate of specific image reading.
delete delete The method according to claim 1,
The integrated control server,
The vehicle identification number and the object recognition rate of the camera are further reflected by respectively reflecting the photographing direction, the horizontal position, and the vertical position of the camera, so as to simulate the nightcar number and the object recognition rate. .
The method according to claim 1,
The integrated control server,
Characterized in simulating the vehicle number recognition rate and the object recognition rate of the camera after additionally reflecting at least one or more auxiliary lights to a specific location using the three-dimensional geographical information around the on-site facility A Field Analysis System for Improving the Recognition Rate of a Specific Image.
The method according to claim 1,
The on-
And a detection sensor for detecting the position of the headlamp of the entering vehicle,
A horizontal position and a vertical position of the camera on the basis of the headlight position detected by the detection sensor, and a field analysis system.
The method according to claim 6,
The on-
Further comprising: a position sensing sensor for sensing a position and a distance of at least one or more predefined objects among a person, a motorcycle, a bicycle, a wagon, a wagon, and a cultivator,
A horizontal position and a vertical position of the camera on the basis of the position of the object detected by the position detecting sensor. Field analysis system.

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