KR102603107B1 - Smart road reflector device and guidance system using the same - Google Patents

Abstract

A smart road reflector device and a guidance system using the same are disclosed. The smart road reflector device according to the present invention includes a base plate installed on the ground, a pillar part coupled to the upper part of the base plate to have a height, coupled to the pillar part, and provided with a reflective surface on the front to improve the vehicle driver's field of view. A reflector assembly that secures, a light emitting unit mounted along the edge of the reflector assembly and flashing by receiving a flashing signal, a camera device coupled to the pillar and taking pictures of the vehicle entrance, and the image data captured from the camera device. It may include a control unit that receives and recognizes the vehicle included in the image data.

Description

Smart road reflector device and guidance system using the same {SMART ROAD REFLECTOR DEVICE AND GUIDANCE SYSTEM USING THE SAME}

The present invention relates to a smart road reflector device and a guidance system using the same. More specifically, it is about a smart road reflector that recognizes vehicles and displays different colors depending on the distance to the vehicle, and a guidance system using the same.

While traffic accidents are increasing every year, one out of two traffic accident deaths occurs while walking. In particular, major casualties occur in curved areas such as curved roads or T-shaped alleys.

This is because due to the structure of the road, vehicle drivers and pedestrians drive and walk without clear visibility. To solve this problem, pedestrians generally have to stay on the road at curved areas such as curved roads, shoulders, or hiking trails. Road reflectors are installed to secure visibility when walking or to secure visibility to assist drivers in operating their vehicles.

However, with the conventional road reflector as described above, it is difficult to distinguish objects reflected in the reflector when it is raining, and at night, when there are no lights on the road, it is difficult to distinguish objects, and the headlights of vehicles are reflected back on the reflector, etc. There was a problem that it was difficult to distinguish objects depending on the environment.

KR20160048588A (Title of invention: Road reflector)

The purpose of the present invention is to provide a smart road reflector that recognizes a vehicle and displays different colors depending on the distance to the vehicle, and a guidance system using the same.

In order to solve the above-described problem, the present invention includes a base plate installed on the ground, a pillar part coupled to the upper part of the base plate to have a height, and a reflective surface coupled to the pillar part and provided on the front to provide protection for the driver of the vehicle. A reflector assembly that secures the field of view, a light emitting unit mounted along the edge of the reflector assembly and flashing when receiving a flashing signal, a camera device coupled to the pillar and taking pictures of the vehicle entrance, and the captured images from the camera device. It may include a control unit that receives image data and recognizes a vehicle included in the image data.

In addition, the control unit communicates with an external device, inputs the image data to a CNN learning module included in the external device, the CNN learning module performs learning on the vehicle image, and the CNN learning module provides a learning result. When a vehicle is recognized in the image data based on the value, recognition information may be received from the external device, and the blinking signal may be transmitted to the light emitting unit based on the recognition information.

In addition, the smart road reflector device further includes a report button device installed on the pillar, wherein the control unit stores the image data, and when a turn-on operation is input through the report button device, The stored image data can be transmitted to an external server.

Additionally, the camera device may include a housing including a through hole in a side wall, a lens installed in the through hole, and a driving unit that drives the lens.

Additionally, in order to solve the above-described problem, the present invention may include the above-described smart road reflector device and a server that transmits and receives data with the smart road reflector device.

In addition, the server includes a CNN learning module for recognizing a vehicle from image data received from the smart road reflector, inputs the image data to the CNN learning module, and based on the learning result of the CNN learning module Vehicle recognition information can be generated from the image data, and the vehicle recognition information can be transmitted to the smart road reflector device.

The present invention can promote traffic safety by recognizing and displaying various information on road reflectors.

In addition, the present invention displays colors for each condition so that they can be recognized from a distance, helping drivers or pedestrians recognize various situations and dangers in advance on roads with poor visibility.

The effects that can be obtained according to the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the description below. will be.

Figure 1 shows a smart road reflector device according to the present invention.
Figure 2 shows a reflector assembly including a disconnection prevention function according to the present invention.
Figure 3 briefly shows the control unit according to the present invention.
Figure 4 shows a camera device according to the present invention.
Figure 5 shows a guidance system using a smart road reflector device according to the present invention.
Figure 6 is a diagram showing an example of an image correction filter according to the present invention.
Figure 7 shows an HSV graph according to the present invention.
The accompanying drawings, which are included as part of the detailed description to aid understanding of the present specification, provide embodiments of the present specification and explain technical features of the present specification together with the detailed description.

Hereinafter, embodiments disclosed in the present specification will be described in detail with reference to the attached drawings. However, identical or similar components will be assigned the same reference numbers regardless of reference numerals, and duplicate descriptions thereof will be omitted.

Additionally, in describing the embodiments disclosed in this specification, if it is determined that detailed descriptions of related known technologies may obscure the gist of the embodiments disclosed in this specification, the detailed descriptions will be omitted.

In addition, the attached drawings are only for easy understanding of the embodiments disclosed in this specification, and the technical idea disclosed in this specification is not limited by the attached drawings, and all changes included in the spirit and technical scope of the present invention are not limited. , should be understood to include equivalents or substitutes.

Terms containing ordinal numbers, such as first, second, etc., may be used to describe various components, but the components are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Hereinafter, based on the above-described contents, a smart road reflector device and a system using the same according to a preferred embodiment of the present specification will be described in detail as follows.

Figure 1 shows a smart road reflector device according to the present invention.

According to Figure 1, the smart road reflector device according to the present invention includes a base plate 130, a pillar 180, a reflector assembly 130, a camera device 150, 150', and a solar power generation unit 160. can do.

The base plate 130 according to the present invention is installed on the ground in a curved area and can support the pillar portion 180 and the reflector assembly 130, which will be described later. Here, a curved area refers to a curved or curved part of the road. Due to the structure of the road, it may mean a curved road or a T-shaped alley where vehicle drivers or pedestrians do not have a clear view. You can.

Next, the pillar part 180 according to the present invention is a pillar with a circular horizontal cross-section, and is coupled to the upper part of the base plate 130 to have a height, and a reflector assembly 130 to be described later is attached to the pillar part 180. ) can be combined. Additionally, the pillar portion 180 may be installed at a certain height so that the reflector assembly 130 has a height.

Here, the reflector assembly 130 according to the present invention is formed in a disk shape, and a convex mirror is coupled to the surface, so that the angular range observed by the reflector assembly is wide, allowing vehicle drivers and pedestrians to have a wider field of view. It can be secured.

In addition, a sunshade cover 170 is coupled to the upper outer periphery of the reflector assembly 130 according to the present invention, which serves to protect the surface of the reflector assembly 130 from external elements such as snow or rain. You can.

Meanwhile, a camera device is coupled to the pillar portion 180 according to the present invention. The camera device will be described in detail later with reference to FIG. 3.

In addition, the smart road reflector device according to the present invention further includes a detection sensor (151, 151'), a light emitting unit (140), an alarm unit (152, 152'), and a control unit (120).

The detection sensors 151, 151' are elements that detect movement and whether or not a vehicle or pedestrian is entering. The number of detection sensors 151, 151' varies depending on the shape, width, angle, etc. of the road. It can be installed in a smart road reflector device. The detection sensors 151 and 151' can detect movement, but can also measure the distance to the target. When measuring the distance to a target, the detection sensors 151 and 151' may be depth cameras.

The light emitting unit 140 may be configured to blink at a certain interval so that pedestrians and drivers can visually check the caution signal. The light emitting unit 140 can be operated when it receives a light emitting signal from the control unit 120 according to signals from the detection sensors 151 and 151'.

Next, the alarm unit (152, 152') is an element that generates a warning sound when the control unit commands an alarm signal according to the signal from the detection sensor (151, 151'), so that pedestrians and drivers need to pay attention.

The alarm units 152 and 152' generate a warning sound only when movement is detected in both the left sensor and the right sensor.

The control unit 120 according to the present invention can control the detection sensors 151 and 151', the light emitting unit 140, and the alarm units 152 and 152'. In addition, the control unit 120 can control components included in the smart road reflector device according to the present invention.

The control unit 120 reads the detection signal sent from the detection sensor 151 and 151', checks whether the vehicle has entered, and transmits an operating signal to the alarm unit 152 and 152' and the light emitting unit 140, which will be described later. .

The control unit 120 transmits a low-speed signal to the light emitting unit 140 and the alarm units 152 and 152' when the vehicle travels at the same speed as the road speed limit or slower, and the vehicle travels at a speed lower than the road speed limit. When driving faster, a high-speed signal is transmitted to the light emitting unit 140 and the alarm units 152 and 152'.

The light emitting unit 140 flashes in different colors according to the detection signal of the speed sensor, allowing the driver or pedestrian to know the speed of the oncoming vehicle.

The light emitting unit 140 blinks yellow or red according to the detection signal of the speed sensor. When the light emitting unit 140 receives a low speed signal from the control unit 120, the light emitting unit 140 blinks yellow and receives a high speed signal. In this case, the red light flashes so that drivers or pedestrians can know the speed of oncoming vehicles.

The light emitting unit 140 may be configured to include a lighting module that flashes a red light and a lighting module that flashes a yellow light, and one lighting module flashes in different colors according to a signal from the control unit. It may be configured to do so.

A speed sensor (not shown) measures the speed of the driving vehicle and transmits it to the control unit 120. The control unit 120 transmits different signals to the light emitting unit 140 and the alarm units 152 and 152' according to the speed of the vehicle detected by the speed sensor (not shown), and the light emitting unit 140 and the alarm unit (152, 152') to alarm and flash in different ways.

The alarm units 152 and 152' vary the alarm sound and its volume according to a detection signal from a speed sensor (not shown) so that the driver or pedestrian can know the speed of the oncoming vehicle. The alarm units 152 and 152' allow the alarm sound generated by the high-speed signal from the control unit 120 to have a relatively faster tempo and louder volume than the alarm sound generated when the low-speed signal is used, so that the driver or pedestrian is in an emergency situation. You can make it intuitive.

Additionally, the light emitting unit 140 blinks in different colors depending on the distance to the vehicle, allowing drivers or pedestrians to know the distance to the vehicle on the other side. For example, the light emitting unit 140 can be controlled to recognize the approaching vehicle as a distance range through a detection sensor, so that a green light comes on if there is no vehicle within the motion sensor recognition range, an orange light within 50m, and a red light within 30m. there is.

Additionally, the camera device 150 can automatically capture surrounding images or videos when a detection sensor detects that a vehicle or pedestrian is approaching. For example, if a vehicle approaches and collides with a pedestrian, video evidence may be needed. To prepare for such situations, images can be captured automatically.

Additionally, a button portion 190 may be further installed on the pillar portion 180. The button unit 190 may include a report button device. When a turn-on operation input of the report button device is input by the user, image data (or video data) captured by the camera device 150 may be transmitted to an external server (police server, 119 server, etc.). Additionally, the button unit 190 may further include a maintenance management button device. When a turn-on operation input of the maintenance management button device is input by the user, a maintenance management message may be transmitted to an external server (management server, etc.).

Figure 2 shows a reflector assembly including a disconnection prevention function according to the present invention. That is, Figure 2 is a diagram showing an embodiment of the reflector assembly 130 according to the present invention.

According to Figure 2, the reflector assembly 130 is fixed integrally or separately to the front mirror part 131 made of a stainless steel mirror, the rear fixing plate 135 to which the front mirror part 131 is attached, and the upper part of the rear fixing plate 135. It may be composed of a sunshade cover 170.

The front mirror portion 131 may be made of a highly reflective metal, and its center may be convex. Stainless steel mirrors are a representative example of metal mirrors with high reflectivity. These metal mirrors are formed by precisely processing the surface, but due to the nature of road reflectors installed outdoors, stainless steel mirrors have the disadvantage of being vulnerable to external shocks. . However, it also has the advantage of being cheaper. This front mirror unit 131 can be fixed to the rear fixing plate 135, which will be described later, through an appropriate fastening means.

In the above-described example, the front mirror unit 131 is described as having a circular shape, but the present invention is not limited to this and may be implemented in a polygonal shape including a square.

Next, the rear fixing plate 135 of the reflector assembly 130 includes a flat installation surface, and a rechargeable battery 133 on this installation surface stores the electric energy transmitted from the solar power generation unit (160 in FIG. 1, hereinafter the same). , a heat source 134 for maintaining the internal temperature of the reflector assembly 130, a circulation fan 137 for circulating air inside the reflector assembly 130, and a drive circuit 136 for controlling the solar power generation unit 160. ) is installed. The driving circuit 136 may be installed on the surface of the installation surface 135 where the heat source 232 and the circulation fan 137 are installed, but may also be installed on the rear surface of the installation surface 135 to protect the driving circuit.

The rechargeable battery 133 is made up of a plurality of high-capacity capacitors, and in this embodiment, it is described as being installed on the rear fixing plate 135. However, the present invention is not limited to this and the rechargeable battery 133 is installed separately outside the road reflector 100. It could be.

Electrical energy stored in the rechargeable battery 231 is configured to supply power to the heat source 134, the circulation fan 137, the driving circuit 136, etc.

A heater using a heat ray can be used as the heat source 134 to maintain the internal temperature of the reflector assembly 130 at a constant temperature. By employing a heater equipped with a temperature detection sensor (not shown), the heat generated by the heater is maintained at a constant temperature. It can be configured to maintain.

In addition, in the present invention, in order to prevent the heater from generating heat in an unnecessary state, a separate temperature detection sensor (not shown) is installed on the outside of the reflector assembly 130, so that the temperature detected by the external temperature detection sensor The heater is configured to calculate the temperature detected by the temperature detection sensor and generate heat when the internal temperature is lower than the external temperature, that is, under conditions where the mirror surface becomes colder than the external hot air, which may cause fogging or smoke. It could be.

As shown in Figure 2, the sunshade cover 170 is formed to protrude from the rear fixing plate 230 toward the front mirror unit and is configured to protect the front mirror unit 220 from rain or snow. At the tip of the sunshade cover 170, a direction indicating panel 132 in the shape of <<< or >>> composed of a plurality of LEDs is formed. In case of bad weather conditions or in the middle of the night, the LEDs are turned on and flashed to provide a road reflector. It is configured to inform the driver of the direction of the curve of the road.

Figure 3 briefly shows the control unit according to the present invention.

According to FIG. 3, the control unit 120 according to the present invention may include a processor 121, a memory 122, and a communication module 123.

The processor 121 may control other components by executing instructions stored in the memory 122. The processor 121 may execute instructions stored in the memory 122.

The processor 121 is a component that can perform calculations and control other devices. Mainly, it may mean a central processing unit (CPU), an application processor (AP), a graphics processing unit (GPU), etc. Additionally, the CPU, AP, or GPU may include one or more cores therein, and the CPU, AP, or GPU may operate using an operating voltage and clock signal. However, while a CPU or AP consists of a few cores optimized for serial processing, a GPU can consist of thousands of smaller, more efficient cores designed for parallel processing.

The processor 121 can provide or process appropriate information or functions to the user by processing signals, data, information, etc. input or output through the components described above or by running an application program stored in the memory 122.

The memory 122 stores data supporting various functions of the control unit 120. The memory 122 may store a number of application programs (application programs or applications) running on the control unit 120, data for operating the control unit 120, and commands. At least some of these applications may be downloaded from an external server via wireless communication. Additionally, the application program may be stored in the memory 122, installed in the control unit 120, and driven by the processor 121 to perform the operation (or function) of the control unit 120.

The memory 122 is a flash memory type, hard disk type, solid state disk type, SDD type (Silicon Disk Drive type), and multimedia card micro type. ), card-type memory (e.g. SD or XD memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), EEPROM (electrically erasable programmable read) -only memory), PROM (programmable read-only memory), magnetic memory, magnetic disk, and optical disk may include at least one type of storage medium. Additionally, the memory 122 may include web storage that performs a storage function on the Internet.

The communication module 123 transmits and receives information to and from a base station or a camera including a communication function through an antenna. The communication module 123 may include a modulator, demodulator, signal processor, etc. Additionally, the communication module 123 may perform a wired communication function.

Wireless communication refers to communication using communication facilities already installed by communication companies and a wireless communication network that uses the frequencies of those communication facilities. At this time, the communication module 123 includes code division multiple access (CDMA), frequency division multiple access (FDMA), time division multiple access (TDMA), orthogonal frequency division multiple access (OFDMA), and single carrier frequency division multiple access (SC-FDMA). It can be used in various wireless communication systems such as access), and in addition, the communication module 123 can also be used in 3rd generation partnership project (3GPP) long term evolution (LTE), etc. In addition, not only 5G communication, which has recently been commercialized, but also 6G, which is scheduled for commercialization in the future, can be used. However, this specification can utilize a pre-installed communication network without being limited to such wireless communication method.

In addition, short range communication technologies include Bluetooth, BLE (Bluetooth Low Energy), Beacon, RFID (Radio Frequency Identification), NFC (Near Field Communication), and Infrared Data Association (IrDA). ), UWB (Ultra Wideband), ZigBee, etc. may be used.

Figure 4 shows a camera device according to the present invention.

According to FIG. 4, the camera device according to the present invention may include a camera module 1320. The camera module 1320 may generate image data from an optical image. The camera module 1320 may include a housing including a through hole on a side wall, a lens 1321 installed in the through hole, and a driving unit 1323 that drives the lens 1321. The through hole may be formed in a size corresponding to the diameter of the lens 1321. Lens 1321 may be inserted into the through hole.

The driving unit 1323 may be configured to control the lens 1321 to move forward or backward. The lens 1321 and the driving unit 1323 are connected in a conventionally known manner, and the lens 1321 can be controlled by the driving unit 1323 in a conventionally known manner.

In order to obtain various video images, the lens 1321 needs to be exposed to the outside of the camera module 1320 or the housing.

In particular, since the camera device 150 according to the present invention must shoot directly in an external environment, a lens with strong contamination resistance is required. Therefore, the present invention sought to solve this problem by proposing a coating layer for coating the lens.

Preferably, the surface of the lens 1321 may be coated with a coating composition containing a compound represented by the following formula (1), an organic solvent, an inorganic particle, and a dispersant.

[Formula 1]

here,

L ₁ is a single bond, a substituted or unsubstituted arylene group with 6 to 30 carbon atoms, a substituted or unsubstituted alkylene group with 1 to 20 carbon atoms, a substituted or unsubstituted cycloalkylene group with 3 to 20 carbon atoms, or a substituted or unsubstituted group. It is selected from the group consisting of an alkenylene group having 2 to 20 carbon atoms, a substituted or unsubstituted cycloalkenylene group having 3 to 20 carbon atoms, and a substituted or unsubstituted alkynylene group having 2 to 20 carbon atoms,

When L ₁ is substituted, hydrogen, nitro group, halogen group, hydroxy group, alkyl group of 1 to 30 carbon atoms, cycloalkyl group of 1 to 20 carbon atoms, alkenyl group of 2 to 30 carbon atoms, alkynyl group of 2 to 24 carbon atoms, carbon number It is substituted with one or more substituents selected from the group consisting of an aralkyl group with 7 to 30 carbon atoms, an aryl group with 6 to 30 carbon atoms, and an alkoxy group with 1 to 30 carbon atoms. When substituted with a plurality of substituents, they are the same or different from each other.

When the lens 1321 is coated with the coating composition, it can exhibit excellent water repellency and contamination resistance, so that clearer images or videos can be collected even if the lens 1321 installed around the road is exposed to a polluted environment for a long period of time.

The inorganic particles may be selected from the group consisting of silica, alumina, and mixtures thereof. The average diameter of the inorganic particles is 70 to 100 μm, but is not limited to the above example. After the inorganic particles are formed as a coating layer 1322 on the surface of the lens 1321, the physical strength can be improved and the moldability can be improved by maintaining the viscosity within a certain range.

The organic solvent is selected from the group consisting of methyl ethyl ketone (MEK), toluene, and mixtures thereof, preferably methyl ethyl ketone, but is not limited to the above examples.

As the dispersant, a polyester-based dispersant can be used. Specifically, a polyester-based dispersion stabilizer consisting of a copolymer of 2-methoxypropyl acetate and 1-methoxy-2-propyl acetate is TEGO-Disperse 670 (manufacturer) : EVONIK) can be used, but is not limited to the above example and any dispersant that is obvious to those skilled in the art can be used without limitation.

The coating composition may further include a stabilizer as other additives, and the stabilizer may include an ultraviolet absorber, an antioxidant, etc., but is not limited to the above examples and can be used without limitation.

More specifically, the coating composition for forming the coating layer 1322 includes a compound represented by Formula 1; It may include organic solvents, inorganic particles, and dispersants.

The coating composition may include 40 to 60 parts by weight of the compound represented by Formula 1, 20 to 40 parts by weight of inorganic particles, and 5 to 15 parts by weight of a dispersant, based on 100 parts by weight of the organic solvent. If the range is within the above range, a synergistic effect of the water repellent effect due to the interaction of each component is expressed to a critical degree, and if it is outside the above range, the synergistic effect is rapidly reduced or almost non-existent.

More preferably, the viscosity of the coating composition is 1500 to 1800 cP. If the viscosity is less than 1500 cP, there is a problem that it flows down when applied to the surface of the lens 1321, making it difficult to form the coating layer 1322, and if the viscosity is less than 1800 cP, it flows down. In this case, there is a problem in that it is not easy to form a uniform coating layer 1322.

[Preparation Example 1: Preparation of coating layer]

1. Preparation of coating composition

A coating composition was prepared by mixing methyl ethyl ketone with a compound represented by the following formula (1), inorganic particles, and a dispersant:

[Formula 1]

here,

L ₁ is an unsubstituted alkylene group having 5 carbon atoms.

A more specific composition of the antistatic composition is shown in Table 1 below.

TX1 TX2 TX3 TX4 TX5 organic solvent 100 100 100 100 100 Compound represented by formula 1 30 40 50 60 70 inorganic particles 10 20 30 40 50 dispersant One 5 10 15 20

(unit weight)

2. Preparation of coating layer

The coating compositions DX1 to DX5 were applied to one surface of the lens 1321 and then cured to form a coating layer 1322.

[Experimental example]

1. Evaluation of surface appearance

Due to the difference in viscosity of the coating composition, after manufacturing the coating layer 1322, a sensory evaluation was conducted to determine whether a uniform surface was formed. An evaluation was conducted on whether a uniform coating layer 1322 was formed, and the evaluation was conducted based on the following criteria.

○: Formation of uniform coating layer

×: Formation of uneven coating layer

TX1 TX2 TX3 TX4 TX5 Sensory evaluation Х ○ ○ ○ Х

When forming the coating layer 1322, if the viscosity is less than a certain level, flow occurs on the surface of the lens 1321, making it difficult to form a uniform coating layer 1322 after the curing process. Accordingly, the problem of lowering the production yield may occur. Additionally, even when the viscosity was too high, it was difficult to uniformly apply the composition, making it impossible to form a uniform coating layer 1322.

2. Measurement of water repellency angle

After forming the coating layer 1322 on the surface of the lens 1321, the results of measuring the water repellency angle are shown in Table 3 below.

Advancing contact angle (〃) Rest contact angle (〃) Receding contact angle (〃) TX1 117.1±2.9 112.1±4.1 < 10 TX2 132.4±1.5 131.5±2.7 141.7±3.4 TX3 138.9±3.0 138.9±2.7 139.8±3.7 TX4 136.9±2.0 135.6±2.6 140.4±3.4 TX5 116.9±0.7 115.4±3.0 < 10

As shown in Table 3, after forming the coating layer 1322 using the coating compositions TX1 to TX5, the results of measuring the contact angle were confirmed. TX1 and TX5 were measured to have receding contact angles of less than 10 degrees. In other words, it was confirmed that pinning of water droplets occurs when the coating composition falls outside the optimal range for manufacturing the coating composition. On the other hand, it was confirmed that no pinning phenomenon occurred in TX2 to 4, showing that excellent waterproofing effects can be achieved.

3. Contamination resistance evaluation

The lens 1321 on which the coating layer 1322 according to the above example was formed on the outside of the facility was attached to the model camera and exposed to the general road environment for 4 days. As a comparative example (Con), the same lens 1321 without the coating layer 1322 was used, and in each example, a model camera was attached to the same location on the vehicle.

Afterwards, the degree of contamination of the lens 1321 before and after the experiment was evaluated, and for objective comparison, the results were compared with the comparative example in which the coating layer 1322 was not formed, and the results were evaluated with an index of 1 to 10, and are shown in Table 4 below. shown in As for the indices below, the lower the number, the better the contamination resistance.

Con TX1 TX2 TX3 TX4 TX5 Staining resistance 10 7 3 3 3 8

(Unit: index)

Referring to Table 4, when forming the coating layer 1322 on the lens 1321, even if the lens 1321 is exposed to the outside while installing the camera in the external environment, high contamination resistance is formed in a form that is easy to analyze for a long period of time. It can be seen that image data can be collected. In particular, in the case of TX2 to TX4, it can be confirmed that the contamination resistance by the coating layer 1322 is very excellent.

Figure 5 shows a guidance system using a smart road reflector device according to the present invention.

According to Figure 5, the guidance system according to the present invention may include a smart road reflector 100, a server 200, and a user terminal 300. The server 200 according to the present invention includes a CNN learning module and can determine the presence or absence of a vehicle from image data received from a smart road reflector. The CNN learning module according to the present invention may be a module that learns feature points about a vehicle in advance based on pre-labeled raw data.

Figure 6 is a diagram showing an example of an image correction filter according to the present invention, and Figure 7 shows an HSV graph according to the present invention.

According to Figure 6, the types and functions of filters are shown. In other words, the CNN algorithm may be a learning algorithm that uses multiple layers. In addition, the CNN algorithm can automatically learn filters that maximize image classification accuracy, and by adding new layers called convolutional layers and polling layers before the fully connected layer, the filtered image is obtained after applying the filtering technique to the original image. A classification operation can be performed on . The CNN algorithm is configured to apply a filtering technique to the original image by adding a new layer called a convolutional layer and a pooling layer before the fully-connected layer, and then perform a classification operation on the filtered image. You can.

At this time, the calculation formula for the image filter using the CNN algorithm is as shown in Equation 1 below.

[Equation 1]

(step,

: Pixel of the ith row and jth column of the filtered image expressed as a matrix,

: filter,

: image,

: Height of filter (number of rows),

: Width (number of columns) of the filter. )

Preferably, the calculation equation for the image filter using the CNN algorithm is as shown in Equation 2 below.

[Equation 2]

(step,

: Pixel of the ith row and jth column of the filtered image expressed as a matrix,

: Application filter

: image,

: height of application filter (number of rows),

: Width (number of columns) of the application filter.)

Preferably, is an application filter and may be a filter applied to the image data in order to learn image data including a vehicle and recognize the vehicle included in the image data. In particular, in the case of vehicle recognition, classification may be based on differences in shape and color, so an application filter may be needed to effectively recognize shape and color. To meet these needs, application filters Can be calculated by Equation 3 below.

[Equation 3]

(step, : filter, : Coefficient, : application filter)

At this time, each The filter according to may be any one of the edge detection filter (Edge detection), sharpen filter (sharpen), and box blur filter (Box blur) matrix according to FIG. 6.

Preferably, The equation for calculating can be calculated using the product of the f value (aperture value) of the camera lens and the HSV average value of the image. At this time, the coefficient can be interpreted as a variable used to increase the efficiency of the filter, and its unit can be ignored.

The f value of the lens is the aperture value (F number) of the lens, and the HSV average value can mean the average value of the color coordinates according to the image converted to size values through the HSV graph. Specific details about the HSV value are as follows.

delete

delete

According to FIG. 7, the HSV graph according to the present invention may mean a color space that reflects perceptual characteristics. H(Hue, 0~360°) can mean hue, S(Saturation, 0~100%) can mean saturation, and V(Value, 0~100%) can mean brightness. . Hue, saturation, and brightness values can be referred to as HSV values, which can be easily extracted using graphic tools such as Adobe Illustrator CC 2019.

The HSV average value according to the present invention can be obtained through the HSV three-dimensional coordinates of FIG. 7. That is, the HSV average value according to the present invention can be calculated based on the HSV value obtained through a graphic tool. The distance value of the HSV coordinates measured with the origin coordinates on the HSV three-dimensional coordinates as the reference point can constitute the above-described HSV average value. That is, the image according to the present invention includes an image of a vehicle, and the HSV color coordinates of the image may be distributed in a certain area among the HSV three-dimensional coordinates. Therefore, the HSV average value according to the present invention may mean the distance value from the origin coordinate calculated based on the average coordinate using the average of the HSV coordinates for the color of a certain area.

[Experimental example]

When applying the application filter F' of the present invention to image data according to the present invention, the actual user's recognition accuracy is as follows. The table below is a numerical representation of the accuracy of recognition results based on whether or not filters are applied, based on requests from 10 experts in the relevant technology field.

No filter applied filter apply filter apply Average Accuracy (Score) 75 90 97

Table 5 above shows the accuracy scores evaluated by experts for each case. This experimental example investigates the accuracy of a replacement cycle judgment module previously learned through big data, depending on whether or not a filter is applied.

In addition, this experimental example was tested on image data containing 120 different vehicles, and the recognition results were surveyed by 10 experts on the accuracy of vehicle recognition included in the image data.

As can be seen in Table 5, in the case where no filter was applied, there was a possibility of an error occurring in image recognition, so the accuracy was evaluated to be relatively low. In comparison, the accuracy was somewhat higher when the general CNN filter F was applied, but it was confirmed that the accuracy was significantly improved when the applied filter F' was applied.

The above-described present invention can be modeled as computer-readable code on a program-recorded medium. Computer-readable media includes all types of recording devices that store data that can be read by a computer system. Examples of computer-readable media include HDD (Hard Disk Drive), SSD (Solid State Disk), SDD (Silicon Disk Drive), ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. and also includes those modeled in the form of carrier waves (e.g., transmission over the Internet). Accordingly, the above detailed description should not be construed as restrictive in all respects and should be considered illustrative. The scope of this specification should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of this specification are included in the scope of this specification.

Any or other embodiments of the present invention described above are not exclusive or distinct from each other. In certain embodiments or other embodiments of the present invention described above, each configuration or function may be used in combination or combined.

The above detailed description should not be construed as restrictive in any respect and should be considered illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention.

100: Smart road reflector
200: server
300: User terminal

Claims (6)

A base plate installed on the ground;
a pillar part coupled to the upper part of the base plate to have a height;
A reflector assembly coupled to the pillar and provided with a reflective surface on the front to secure the vehicle driver's field of view;
A light emitting unit mounted along the edge of the reflector assembly, blinking when receiving a blinking signal, and blinking in different colors according to a detection signal from a speed sensor;
An alarm unit that outputs different alarm sounds and volumes according to the detection signal of the speed sensor;
A camera device coupled to the pillar and taking pictures of the vehicle entrance;
a report button device installed on the pillar; and
It includes a control unit that receives image data captured from the camera device and recognizes a vehicle included in the image data.
The control unit transmits the flashing signal to the light emitting unit and the alarm unit according to the speed of the vehicle recognized based on the speed limit of the road,
Communicates with an external device, inputs the image data to a CNN learning module included in the external device, and the CNN learning module performs learning on the vehicle image,
When a vehicle is recognized in the image data based on a learning result in the CNN learning module, recognition information is received from the external device, and the blinking signal is transmitted to the light emitting unit based on the recognition information,
The control unit,
The image data is stored, and when a turn-on operation is input through the report button device, the stored image data is transmitted to an external server,
The image data is to which an image correction filter according to Equation 2 below has been applied.
Smart road reflector device.
[Equation 2]

(However, G _ij is the pixel of the ith row and jth column of the filtered image expressed as a matrix, F' is the applied filter, and is calculated as F' = ρ*F, and coefficient ρ is the aperture value of the camera lens. It is calculated using the product of the HSV average value of the image and the HSV average value is the average value of the color coordinates according to the image converted to size values through the HSV graph, X is the image, and F' _H is the height of the applied filter ( number of rows), F' _W is the width (number of columns) of the application filter.)
delete delete According to paragraph 1,
The camera device is,
A housing including a through hole in a side wall;
A lens installed in the through hole; and
A driving unit that drives the lens,
Smart road reflector device.
The smart road reflector device of claim 1; and
Including a server that transmits and receives data with the smart road reflector device,
Guidance system using smart road reflector devices.
According to clause 5,
The server is,
A CNN learning module for recognizing a vehicle from image data received from the smart road reflector, inputting the image data to the CNN learning module, and selecting a vehicle from the image data based on a learning result of the CNN learning module. Generating recognition information and transmitting the vehicle recognition information to the smart road reflector device,
Guidance system using smart road reflector devices.