KR102219592B1 - Traffic light recognition by deep learning LED color temperature conversion controller and luminaire for road lighting and control method - Google Patents

Abstract

The present invention relates to a method for controlling a plurality of lighting devices to enable pedestrians and vehicles to accurately recognize a current signal state of a traffic sign. According to the present invention, the method comprises the following steps of: receiving, from a communication terminal, setting information indicating an operation method of a plurality of lighting devices in accordance with a lighting condition of a traffic sign; acquiring primary lighting condition information indicating a current lighting condition of the traffic sign through image recognition of the traffic sign; acquiring secondary lighting condition information indicating the current lighting condition of the traffic sign through history information on the image recognition for the traffic sign; using the primary lighting situation information and the secondary lighting situation information to determine the current lighting situation; and determining a color of light outputted from a projection light pointing at a crosswalk and a floor lamp positioned adjacent to a crosswalk based on the current lighting situation and the setting information.

Description

Traffic light recognition by deep learning LED color temperature conversion controller and luminaire for road lighting and control method including the LED color temperature conversion controller based on traffic light recognition

The present disclosure relates to a traffic light recognition and LED color temperature conversion luminaire for road lighting by deep learning, and a control method thereof, and in more detail, aiming at a crosswalk based on the current lighting situation and setting information through image recognition of the traffic light. It relates to a luminaire and a method for determining the color of light output from a floodlight and a floor lamp located adjacent to a crosswalk.

Recently, as the use rate of smartphones in most age groups has increased rapidly, the tendency of users to become excessively immersed in smartphones is also increasing. In this way, users are immersed in their smartphones regardless of time and place, and the so-called'smombie', which refers to a person walking on a road or crosswalk while looking at a smartphone instead of walking while looking ahead, was born. There is a trend of increasing awareness of the use of smartphones while walking on the back and the resulting damage.

In another aspect, when a pedestrian walks at a crosswalk at night or during the day, the pedestrian crossing the crosswalk without knowing the current signal of the traffic light, or the traffic light is covered by the vehicle, so that the pedestrian or the driver of the vehicle cannot check the current signal of the traffic light. There are several problems that arise from not recognizing traffic light signals, as certain situations can lead to accidents.

Accordingly, there is a need for a luminaire for road lighting and a method thereof so that a pedestrian or a vehicle driver can more effectively recognize a current signal of a traffic light.

Korean Patent Registration No. 10-1798979, Smart Crosswalk Traffic Light System

The present invention is designed to solve the problems of the prior art,

In the present invention, some embodiments provide a luminaire for road lighting and a method for recognizing traffic lights and converting LED color temperature by deep learning.

The objects of the present disclosure are not limited to the above-mentioned objects, and other objects not mentioned will be clearly understood from the following description.

As a technical means for achieving the above-described technical problem, a method of controlling a plurality of luminaires of a road lighting luminaire according to the first aspect of the present disclosure includes setting information indicating an operation method of the plurality of luminaires according to a lighting situation of a traffic light. Receiving from a communication terminal; Acquiring primary lighting situation information indicating a current lighting situation of the traffic light through image recognition of the traffic light; Obtaining secondary lighting situation information indicating the current lighting situation of the traffic light through history information on the image recognition of the traffic light; Determining the current lighting condition using the primary lighting condition information and the secondary lighting condition information; And determining a color of light output from a floodlight directed to a crosswalk and a floor light positioned adjacent to the crosswalk based on the current lighting situation and the setting information.

In addition, a road lighting luminaire according to a second aspect of the present disclosure includes: a receiving unit for receiving setting information indicating an operation method of a plurality of luminaires according to a lighting situation of a traffic light from a communication terminal; Obtains primary lighting situation information indicating the current lighting situation of the traffic light through image recognition of the traffic light, and secondary lighting indicating the current lighting situation of the traffic light through history information on the image recognition of the traffic light A processor that acquires situation information and determines the current lighting situation by using the primary lighting situation information and the secondary lighting situation information; A floodlight facing a crosswalk and outputting light of a color determined based on the current lighting condition and the setting information; And a floor lamp located adjacent to the crosswalk and outputting light of a color determined based on the current lighting condition and the setting information.

According to an embodiment of the present disclosure, by recognizing a signal of a traffic light to determine the color of light output from a floodlight pointing to a crosswalk and a floor light located adjacent to the crosswalk, pedestrians and vehicles It can have the effect of being able to recognize the signal state more accurately.

The effects of the present disclosure are not limited to the above effects, and should be understood to include all effects that can be deduced from the configuration of the invention described in the detailed description or claims of the present disclosure.

1 is a block diagram showing the configuration of a luminaire for road lighting according to an embodiment.
2 is a step diagram showing each step of determining a color of output light of a road lighting luminaire according to an exemplary embodiment.
3 is a step diagram showing an example of determining the color of output light by performing deep learning learning by a road lighting luminaire according to an exemplary embodiment.
4 is a diagram illustrating an example in which the number of floor lights is determined according to the remaining time available for walking according to an exemplary embodiment.
5 is a diagram illustrating an example of light output from a floodlight and an illumination directing unit toward a crosswalk according to an embodiment.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described later together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in a variety of different forms, and only these embodiments make the disclosure of the present invention complete, and are common knowledge in the technical field to which the present invention pertains. It is provided to completely inform the scope of the invention to those who have, and the invention is only defined by the scope of the claims.

The terms used in the present specification will be briefly described, and the present invention will be described in detail.

When a part of the specification is said to "include" a certain component, it means that other components may be further included rather than excluding other components unless otherwise stated. In addition, the term "unit" used in the specification refers to a hardware component such as software, FPGA, or ASIC, and "unit" performs certain roles. However, "unit" is not meant to be limited to software or hardware. The “unit” may be configured to be in an addressable storage medium or may be configured to reproduce one or more processors. Thus, as an example, "unit" refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, Includes subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays and variables. The functions provided within the components and "units" may be combined into a smaller number of components and "units" or may be further separated into additional components and "units".

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art may easily implement the present invention. In addition, in the drawings, parts not related to the description are omitted in order to clearly describe the present invention.

1 is a block diagram showing the configuration of a luminaire 100 for road lighting according to an embodiment.

The luminaire 100 for road lighting according to an embodiment may include a communication terminal 110, a receiving unit 120, a processor 130, and a plurality of luminaires 160.

However, it may be understood by those of ordinary skill in the related art that other general-purpose components other than the components shown in FIG. 1 may be further included in the road lighting luminaire 100. For example, the road lighting luminaire 100 may further include an interface for receiving a user input and a display for outputting data, and according to another embodiment, some of the components shown in FIG. 1 Can be omitted.

According to an embodiment, each component of the road lighting luminaire 100 shown in FIG. 1 may be included in a specific device (eg, a luminaire), and each component is separated on a crosswalk and a road, respectively. It can be located adjacent to the located traffic lights and can operate by communicating with each other. In one embodiment, the road lighting luminaire 100 may be separated or integrated in various forms in terms of physical and functional aspects. For example, the receiver 120 and the processor 130 are implemented as a server and the communication terminal 110 ) And a plurality of luminaires 160 may be implemented separately as a plurality of luminaire terminals installed on a traffic light or a crosswalk, and for other examples, the receiver 120, the processor 130, and the plurality of luminaires 160 May be implemented separately as a plurality of luminaire terminals installed on traffic lights or crosswalks.

The luminaire 100 for road lighting according to an embodiment may include all types of wired and wireless communication devices that are implemented as a server and can be connected to a terminal or other server through a network. For example, the road lighting lamp 100 may be connected to one or more communication terminals 110 through a network. Here, the network may be configured through various communication networks such as wired and wireless, for example, a local area network (LAN), a metropolitan area network (MAN), and a wide area network (WAN). Network) can be composed of various communication networks.

The communication terminal 110 according to an embodiment may communicate with the road lighting luminaire 100 and the receiving unit 120 using all network communication networks that can be expressed through wired and wireless communication. Here, the communication terminal 110 includes all types of handhelds equipped with a display panel and a network chipset, such as a mobile phone, a smart phone, a personal digital assistant (PDA), a portable multimedia player (PMP), a tablet PC, a desktop PC, and a laptop. )-Based devices, and may include all types of wired and wireless communication devices that can be connected to an external server through a wired or wireless communication network.

The plurality of luminaires 160 according to an exemplary embodiment may include a floodlight 140 facing a crosswalk and a floor lamp 150 positioned adjacent to the crosswalk.

The receiving unit 120 according to an embodiment may receive, from the communication terminal 110, setting information indicating an operation method of the plurality of luminaires 160 according to a lighting situation of a traffic light. In addition, the receiver 120 may further include a color temperature controller (not shown) that controls the color temperature of the output light.

The road lighting luminaire 100 according to an exemplary embodiment may be formed of a plurality of groups and may be respectively disposed in a preset allocation area, and a plurality of communication terminals 110 may communicate with each disposed plurality of groups.

The setting information according to an embodiment may include an operation method of the plurality of luminaires 160 according to lighting conditions of the traffic lights of the luminaire 100 for road lighting. For example, the setting information may include overall setting information of output light, such as a color temperature of light output from the plurality of luminaires 160, a light output time, and an intensity of output light.

It may be desirable to prevent arbitrary manipulation due to errors in lighting or hacking of traffic signals of traffic lights and related road lights involved in traffic order and traffic safety accidents. Therefore, in order to prevent such arbitrary external intrusion, the road lighting luminaire 100 encrypts and stores the terminal identification information of the communication terminal 110 in an equipped blockchain-based server (not shown), and then the receiving unit 120 When receiving a signal such as setting information from the communication terminal 110, the terminal identification information received together may be compared with the terminal identification information stored in the blockchain-based server to determine whether or not they match. However, without being based on a block chain, the road lighting luminaire 100 can establish a general security system (eg, IPv6LowPAN).

The processor 130 according to an embodiment acquires primary lighting situation information indicating the current lighting situation of the traffic light through image recognition of the traffic light, and the current lighting situation of the traffic light through history information regarding the image recognition of the traffic light. The indicated secondary lighting situation information may be acquired, and the current lighting situation may be determined using the primary lighting situation information and the secondary lighting situation information.

The processor 130 according to an embodiment may obtain setting information from the receiver 120.

The processor 130 according to an embodiment determines the color of light output from the floodlight 140 facing the crosswalk and the floor light 150 positioned adjacent to the crosswalk based on the acquired setting information and the current lighting situation. You can decide.

The floodlight 140 according to an embodiment may direct a crosswalk and output light of a color determined based on a current lighting situation and setting information.

The floor lamp 150 according to an exemplary embodiment may be located adjacent to a crosswalk and may output light of a color determined based on a current lighting situation and setting information.

The road lighting luminaire 100 according to an exemplary embodiment may output a voice guidance on a lighting situation of a traffic light based on a wireless signal received from the reception unit 120. For example, the receiving unit 120 continuously detects a wireless signal (eg, a beacon communication-based signal, etc.), and when a blind person or a specific person who is difficult to visually recognize a signal from a traffic light approaches a pedestrian crossing, the receiving unit 120 May receive a radio signal (eg, a voice guidance request signal) generated from a terminal possessed by a specific person. The road lighting luminaire 100 may output a voice guidance on the lighting situation of the current traffic light based on the wireless signal received from the receiving unit 120.

The contents described with reference to FIG. 1 as described above will be described later in more detail with reference to FIGS. 2 to 5.

2 is a step diagram showing each step of determining a color of output light from a road lighting luminaire 100 according to an exemplary embodiment.

In step S210, the road lighting luminaire 100 may receive, from the communication terminal 110, setting information indicating the operation method of the plurality of luminaires 160 according to the lighting situation of the traffic light.

The plurality of luminaires 160 according to an embodiment may include a floodlight 140 and a floor lamp 150.

A traffic light according to an embodiment may include a pedestrian traffic light for a pedestrian and a vehicle traffic light for a vehicle.

The lighting situation of a traffic light according to an embodiment may include general information about the lighting situation of the traffic light, such as a type of a current signal of the traffic light (eg, a stop signal), a lighting state, lighting and non-lighting times, and the number of lighting.

The setting information according to an embodiment may include general setting information such as output light such as a color temperature of light output from the plurality of luminaires 160, a light output time, and an intensity of output light, and an operation method of the luminaire.

In step S220, the road lighting luminaire 100 may acquire primary lighting situation information indicating the current lighting situation of the traffic light through image recognition of the traffic light.

The first lighting situation information according to an embodiment may be obtained through image recognition of a current lighting situation of a traffic light. For example, a detection camera capable of performing image recognition on a traffic light signal may be provided at a traffic light and a position adjacent thereto to perform image recognition. As another example, instead of a detection camera, a sensor (eg, an image sensor, an RGB sensor, etc.) capable of recognizing a signal of a traffic light may be provided, and signal recognition of a traffic light may be performed using this.

The primary lighting situation information according to an embodiment may indicate a current lighting situation of a traffic light. Specifically, the primary lighting situation information may include immediately determining whether each traffic light is turned on, the type of the lighted signal, and a lighting period through image recognition of a pedestrian traffic light and a vehicle signal light.

In step S230, the road lighting luminaire 100 may obtain secondary lighting situation information indicating the current lighting situation of the traffic light through history information on image recognition of the traffic light.

Secondary lighting situation information according to an embodiment may be obtained through history information on image recognition for a traffic light. Such history information may include information indicating flashing periods, on-state maintenance time, and off-state maintenance time for a plurality of lights included in a pedestrian traffic light and a plurality of lights included in a vehicle traffic light acquired through image recognition of a traffic light. have.

The history information according to an embodiment is the current lighting situation from the road lighting luminaire 100 when it is impossible to determine the current lighting situation according to the primary lighting situation information in the step of determining the current lighting situation by the road lighting luminaire 100 Can be used to determine When it is impossible to determine the current lighting situation according to the primary lighting situation information, it may include all cases in which image recognition of a traffic light signal is impossible, including a case in which image recognition is impossible because a traffic light is covered by a vehicle.

The luminaire 100 for road lighting according to an embodiment may perform deep learning learning on the first lighting situation information and the second lighting situation information. Details of such deep learning learning will be described in more detail later with reference to FIG. 3 below.

In step S240, the road lighting luminaire 100 according to an embodiment may determine a current lighting situation using the first lighting situation information and the second lighting situation information.

The road lighting luminaire 100 according to an embodiment may determine a current lighting situation using deep learning learning information.

In the case where the current lighting situation can be determined according to the first lighting situation information, the road lighting luminaire 100 according to an embodiment is currently lit according to the primary lighting situation information regardless of the secondary lighting situation information and deep learning learning information. The situation may be determined, and when it is impossible to determine the current lighting situation according to the primary lighting situation information, the current lighting situation may be determined according to at least one of secondary lighting situation information or deep learning learning information.

In one embodiment, the road lighting luminaire 100 determines the reliability based on the first lighting situation information, and if the reliability is less than a preset first level, the current lighting situation is determined according to the second lighting situation information, and the reliability is If it is less than the preset second level lower than the first level, the current lighting situation may be determined by considering both the secondary lighting situation information and the deep learning learning information.

The luminaire 100 for road lighting according to an embodiment may obtain comparison information for comparing the first lighting situation information and the second lighting situation information. Specifically, the first lighting situation information and the second lighting situation information may be compared, and a notification message may be output when the information is different when a predetermined number of times or more occurs.

In step S250, the road lighting luminaire 100 according to an embodiment includes a floodlight 140 directed to a crosswalk based on the current lighting situation and setting information determined in step S240, and a floor light located adjacent to the crosswalk ( 150) can determine the color of the light output.

Specifically, the color of the light output from the floodlight 140 and the floor light 150 is, when a traffic light indicates a pedestrian walking situation, the floodlight 140 is yellow light, and the floor light 150 is blue light. And when the traffic light indicates a waiting situation for pedestrians, the floodlight 140 may output white light, and the floor light 150 may output red light. Here, the color temperature of yellow light is 3000K or less, the color temperature of white light is 6000K or more, and the color of light output from the floodlight 140 may be determined through linear color temperature control of the road lighting luminaire 100.

The luminaire 100 for road lighting according to an embodiment may adjust the color of light output according to the weather. For example, when the weather is cloudy, rain or snow comes, there may be a problem in that the visibility of the output light is deteriorated, and the color temperature or color of the output light may be adjusted to increase the visibility in response thereto.

In an embodiment, the road lighting luminaire 100 determines the degree of risk based on the information on the first lighting situation and the information on the second lighting situation, and when the risk is higher than a preset level, the floodlight 140 and the floor lamp 150 are You can adjust the color and blinking period of the output light. For example, the road lighting luminaire 100 includes the current signal type (e.g., pass (green), standby (yellow), stop (red), etc.) included in the primary lighting situation information for a traffic light, and secondary lighting situation information. The risk level is calculated by comparing the intersection information (eg, information on the arrangement of a plurality of traffic lights in the intersection) and history (eg, the frequency of recent accidents) included in each with preset reference information, and if the risk level is higher than the preset level, The floodlight 140 and the floor lamp 150 are respectively controlled to repeat lighting and blinking according to a preset warning period (e.g., set larger than the blinking period during standby) with a preset warning color to warn of possible danger. I can.

In one embodiment, the road lighting luminaire 100 may assign different weights to the primary lighting situation information and the secondary lighting situation information when determining the degree of risk, for example, a higher weight to the primary lighting situation information. You can determine the level of risk by giving.

In one embodiment, the road lighting luminaire 100 determines the vehicle risk and walking risk, respectively, based on the primary lighting situation information and the secondary lighting situation information for each of the vehicle traffic light and the pedestrian traffic light, and the vehicle risk level and the walking risk level Depending on whether each is at a preset level, the color and blinking period of light output from the floodlight 140 and the floor lamp 150 may be differently adjusted.

In an embodiment, the road lighting luminaire 100 may determine a time period in which the color of light output from the floodlight 140 and the floor lamp 150 changes based on the signal period of the traffic light. For example, in the case of the road lighting luminaire 100, when the holding time of the pedestrian pass signal (eg, a green signal) of a pedestrian traffic light is longer than a preset time, the red light output from the floor lamp 150 is the preset time. It can be controlled so that it turns off slowly over a section and then turns on slowly in blue, and if it is shorter than a preset time, the red light can be controlled to turn off immediately and then turn on.

3 is a step diagram showing an example of determining the color of output light by performing deep learning learning by the road lighting luminaire 100 according to an exemplary embodiment.

In step S310, the road lighting luminaire 100 may perform deep learning learning on the first lighting situation information and the second lighting situation information. To this end, the road lighting luminaire 100 may further include a deep learning learning unit (not shown). The deep learning learning unit may be included in the processor 130. Specifically, the deep learning learning unit is on whether the traffic light signal included in the primary lighting status information and the secondary lighting status information acquired through image recognition is lit, the type of the lighted signal, the lighting cycle, the on-state maintenance time, and the off-state maintenance. Deep learning learning about time may be performed to obtain deep learning learning information that derives the current lighting situation.

In step S320, the road lighting luminaire 100 may store deep learning learning information, which is a result of deep learning learning, in the processor 130.

In step S330, the road lighting luminaire 100 may determine the current lighting situation using deep learning learning information. Specifically, when the current lighting situation can be determined according to the first lighting situation information, the road lighting luminaire 100 determines the current lighting situation according to the primary lighting situation information regardless of the secondary lighting situation information and deep learning learning information. If it is impossible to determine the current lighting situation according to the first lighting situation information, the current lighting situation may be determined according to the second lighting situation information and deep learning learning information.

Whether to use the deep learning learning information according to an embodiment, the first lighting situation information, the second lighting situation information, and the use priority of the deep learning learning information may be determined by setting information.

In step S340, the road lighting luminaire 100 may determine the color of the light output from the floodlight facing the crosswalk and the floor lamp located adjacent to the crosswalk based on the current lighting situation and setting information determined in step S330.

4 is a diagram illustrating an example in which the brightness or number of floor lamps 150 is determined according to the remaining walking time according to an exemplary embodiment.

The floor lamp 150 according to an embodiment may include a plurality of LED lights.

The brightness or number of LEDs that are kept on among a plurality of LED lights included in the floor light 150 according to an embodiment is the remaining time during which the pedestrian walking situation is maintained when the traffic light indicates the pedestrian walking situation (eg: Pedestrian signal duration).

The plurality of LED lights included in the floor lamp 150 according to an embodiment decreases the brightness or number of LEDs that are kept on as the remaining walking time decreases, based on the center line of the road among the plurality of LED lights. As a result, the timing of turning off the LEDs near the center line may precede the timing of turning off the LEDs far from the center line.

For example, as the remaining time for the pedestrian walking situation decreases, the brightness or number of LEDs that are kept on decreases, so that a pedestrian or a vehicle driver can keep the remaining time of the pedestrian walking situation on. It can be easily recognized through brightness or number. In addition, LED lights are turned off in the direction of an LED light (e.g., sidewalk) far from the center line from an LED light near the center line, and a pedestrian walking on the crosswalk 410 quickly recognizes the current walking situation and crosses within the remaining time. It may have the effect of allowing the sidewalk 410 to walk.

A plurality of LED lights included in the floor lamp 150 according to an exemplary embodiment may be continuously turned on in the pedestrian walking situation regardless of the remaining time during which the pedestrian walking situation is maintained after a predetermined time. Specifically, at night (eg, based on sunset to sunrise), prioritization may be given to informing the vehicle driver that the current crosswalk 410 is a pedestrian walking situation. Therefore, the road lighting luminaire 100 is applied so that a plurality of LED lights are continuously turned on during the pedestrian walking situation regardless of the remaining time during which the pedestrian situation is maintained after a certain period of time, and daytime (e.g., based on sunrise ~ sunset time ), it is possible to determine the number of LEDs that remain on and the LEDs that are turned off first according to the remaining time.

5 is a diagram illustrating an example of light output from the floodlight 140 and the lighting directing unit 510 toward the crosswalk 410 according to an exemplary embodiment.

The luminaire 100 for road lighting according to an embodiment may further include a lighting directing unit 510.

The lighting directing unit 510 according to an embodiment may be located adjacent to the floodlight 140.

The lighting directing unit 510 according to an embodiment is intended to provide a warning alarm when a traffic light indicates a pedestrian walking situation and a pedestrian waiting situation when the area where the road lighting luminaire 100 is located is a dangerous area such as a pedestrian accident-prone area. It can output red light.

The lighting directing unit 510 according to an embodiment may output light produced in a specific shape and characteristic color in response to a current signal of a traffic light. For example, the lighting directing unit 510 may output light displayed on the pedestrian crossing 410 in the form of a countdown of the remaining time of the pedestrian walking situation. In addition, in a waiting situation for pedestrians, the lighting display unit 510 may output light in a form produced in response to information on a corresponding road, such as a child protection zone and a slow speed section, to the pedestrian crossing 410.

The present disclosure can provide an LED color temperature conversion controller based on traffic light recognition by deep learning, a road lighting luminaire including the same, and a control method thereof, and the road lighting luminaire 100 is an LED based on traffic light recognition by deep learning. It may include a color temperature conversion controller and a road lighting fixture including the same.

The above description of the present invention is for illustrative purposes only, and those of ordinary skill in the art to which the present invention pertains will be able to understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

100: road lighting luminaire
110: communication terminal 120: receiver
130: processor 140: floodlight
150: floor lamp 160: a plurality of luminaires
410: pedestrian crossing 510: lighting director

Claims (7)

In the method of controlling a plurality of luminaires,
Receiving, from a communication terminal, setting information indicating an operation method of the plurality of luminaires according to a lighting situation of a traffic light;
Acquiring primary lighting situation information indicating the current lighting situation of the traffic light through image recognition of the traffic light;
Acquiring secondary lighting condition information indicating the current lighting condition of the traffic light through history information on the image recognition of the traffic light;
Determining the current lighting situation using the primary lighting condition information and the secondary lighting condition information; And
Including, based on the current lighting situation and the setting information, determining the color of the light output from the floodlight facing the crosswalk and the floor lamp located adjacent to the crosswalk; and
Determining a risk level based on the primary lighting condition information and the secondary lighting condition information;
Controlling the floodlight and the floor lamp to repeat blinking according to a preset warning period, a preset warning color for warning of a possible danger when the risk is higher than a preset level; And
When the primary lighting situation information and the secondary lighting situation information are different from each other occurs more than a preset number of times, outputting a notification message for this; further comprising,
The risk level is determined in a state in which a weight for the primary lighting condition information is assigned higher than a weight for the secondary lighting condition information.
The method of claim 1,
The plurality of luminaires include the floodlight and the floor lamp,
When the traffic light indicates a pedestrian walking situation, the floodlight outputs white light, and the floor light outputs blue light,
When the traffic light indicates a pedestrian waiting situation, the floodlight outputs yellow light, and the floor light outputs red light.
The method of claim 2,
The color temperature of the yellow light is 3000K or less, the color temperature of white light is 6000K or more,
The color of the light output from the floodlight is determined through linear color temperature control.
The method of claim 1,
The step of determining the current lighting situation is
When the current lighting situation can be determined according to the primary lighting situation information, the current lighting situation is determined according to the primary lighting situation information regardless of the secondary lighting situation information,
When it is impossible to determine the current lighting condition according to the primary lighting condition information, determining the current lighting condition according to the secondary lighting condition information.
The method of claim 1,
The traffic lights include pedestrian traffic lights and vehicle traffic lights for vehicles,
The history information on the image recognition includes information indicating a flashing period, an on state maintenance time, and an off state maintenance time for a plurality of lights included in the pedestrian traffic light and a plurality of lights included in the vehicle traffic light,
The floor lamp includes a plurality of LED lights,
When the traffic light indicates a pedestrian walking situation, the number of LEDs maintained in an on state among the plurality of LEDs is determined according to the remaining time during which the pedestrian walking situation is maintained.
The method of claim 5,
As the remaining time decreases, the number of LEDs maintained in the on state decreases,
Among the plurality of LED lights, a point in time when an LED light near the center line is turned off precedes a point in time when an LED light far from the center line is turned off
The method, wherein the plurality of LEDs are continuously turned on in the pedestrian walking situation regardless of the remaining time during which the pedestrian walking situation is maintained after a preset time period of the day.
A receiving unit for receiving setting information indicating an operation method of a plurality of light fixtures according to a lighting situation of a traffic light from a communication terminal;
Obtains primary lighting situation information indicating the current lighting situation of the traffic light through image recognition of the traffic light, and secondary lighting indicating the current lighting situation of the traffic light through history information on the image recognition of the traffic light A processor that acquires situation information and determines the current lighting situation by using the primary lighting situation information and the secondary lighting situation information;
A floodlight facing a crosswalk and outputting light of a color determined based on the current lighting condition and the setting information; And
And a floor lamp located adjacent to the crosswalk and outputting light of a color determined based on the current lighting situation and the setting information,
When the risk determined based on the first lighting situation information and the second lighting situation information is higher than a preset level, the processor may flash a preset warning color to warn of a possible danger according to a preset warning period. Lamps and road lighting for controlling the floor lamps.

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