JP2021197214A - Lighting system - Google Patents

Abstract

To provide a lighting system that can provide a personalized control state with a simple configuration.SOLUTION: A lighting system according to an embodiment includes a lighting unit that irradiates with light, an acquisition unit that acquires information on people who are within a light irradiation range of the lighting unit, a determination unit that determines attributes including human visual characteristics from the information acquired by the acquisition unit, and a control unit that controls the lighting mode of the lighting unit according to the attributes determined by the determination unit.SELECTED DRAWING: Figure 1

Description

Embodiments of the present invention relate to lighting systems.

There is known a lighting system that controls the lighting to be irradiated according to the concentration of the target person (irradiation target person) to be irradiated (for example, Patent Document 1). However, since such a lighting system controls based on a parameter that is difficult to quantify, such as the degree of concentration of a person, it is difficult to estimate the degree of concentration, there are differences depending on the person, and control suitable for the person is appropriate. There was a risk that it could not be provided to. Also, in order to improve the accuracy of concentration estimation, it is necessary for a person to wear a measuring device (for example, a pulse measuring device or glasses for measuring concentration) and acquire data at a position close to the person, and the system There was a risk of complication.

JP-A-2015-195309

An object to be solved by the present invention is to provide a lighting system capable of providing a control state suitable for a person with a simple configuration.

The lighting system of the embodiment includes a lighting unit that irradiates light, an acquisition unit that acquires information on a person existing within the light irradiation range of the illumination unit, and a visual feature of a person from the information acquired by the acquisition unit. A determination unit for determining an attribute and a control unit for controlling the lighting mode of the illumination unit according to the attribute determined by the determination unit are provided.

According to the embodiment, it can be expected to provide a lighting system capable of providing a control state suitable for a person with a simple configuration.

It is an whole view of the lighting system of one Embodiment. It is a figure which shows the lighting part of the lighting system of one Embodiment. It is a block diagram which shows the acquisition part of the lighting system of one Embodiment. It is a block diagram which shows the processing part of the lighting system of one Embodiment. It is a flow chart which shows the flow of the lighting system of one Embodiment. It is a table which shows an example of a physical attribute. It is a table which shows an example of an operation attribute. It is a flow chart which shows the detail of the step S2 in the flow of the lighting system of one Embodiment. It is a table which shows an example of a lighting mode table. It is a figure which shows an example of the past detection data and the body attribute of the lighting system of one Embodiment. It is a figure which shows an example of the present detection data and body attribute of the lighting system of one Embodiment.

Hereinafter, one embodiment will be described with reference to the drawings.

FIG. 1 shows the lighting system 1 of the present embodiment. The lighting system 1 of the present embodiment includes a lighting unit 2, an acquisition unit 3, a processing unit 4, and a control unit 5. The lighting system 1 is a lighting system used when irradiating (illuminating) light on the target B in the environment A and its vicinity. Environment A is an environment that generally uses lighting, such as a home, an office, a store, and a factory. Further, the environment A may be a closed space surrounded by a wall as shown in FIG. 1, or may be an open space in which there is no wall in at least one direction unlike FIG. 1. .. Then, the object B is, for example, a human being, who wears clothes, glasses, or the like, or performs some work or action.

The lighting unit 2 is a lighting device arranged so as to irradiate the environment A with light. The lighting unit 2 includes general lighting means and local lighting means. The general lighting means is a means for providing so-called ambient lighting, and refers to a means for irradiating light having a wide light distribution. The local lighting means is a means for providing so-called task lighting, and refers to a means for irradiating light having a narrow light distribution. Further, in the environment A, the illuminance at any one point in the range where the light of the general lighting means is irradiated and the range where the light of the local lighting means is irradiated is assumed to be 1 when the illuminance is irradiated only by the general lighting means. The illuminance when irradiated only by the local lighting means is preferably 1 or more.

FIG. 2 shows an example of the lighting unit 2. The lighting unit 2 of FIG. 2 includes a general lighting device 21 provided with general lighting means and a local lighting device 22 provided with local lighting means. The general lighting device 21 of the present embodiment is a base light and is arranged on the ceiling A'of the environment A. Further, the local lighting device 22 of the present embodiment is a downlight, and is arranged so as to be embedded in the ceiling A'of the environment A. The form of the lighting unit 2 is not limited to the form shown in FIG. The lighting unit 2 may be arranged in the environment A, and may be arranged on a wall of the environment A, a desk placed in the environment A, or the like. Further, as the general lighting device 21, a lighting device having a wide light distribution such as a ceiling light may be used, and as the local lighting device 22, a lighting device having a narrow light distribution such as a spotlight may be used. Further, one luminaire may include both general illuminating means and local illuminating means. As a method of providing both general lighting means and local lighting means in one lighting device, for example, the lighting device is equipped with a lens, and the lens is automatically switched or the lens is manually replaced. It is conceivable to switch between general lighting and local lighting, or to switch between general lighting and local lighting by turning on and off each light source because the lighting device is equipped with two or more types of light sources having different light distributions.

Further, it is preferable that the illumination unit 2 has a dimming function capable of adjusting the illuminance (brightness) and a toning function capable of adjusting the chromaticity. As the toning function, a color temperature variable function that adjusts the chromaticity between two or three points on the chromaticity diagram may be used, or a wide range of colors on the chromaticity diagram can be reproduced. It may be a full-color function.

The acquisition unit 3 is shown in FIG. The acquisition unit 3 includes a detection unit 31 and an acquisition communication unit 32. The detection unit 31 is a camera or an image sensor provided with a solid-state image pickup element such as a CCD (Charge Coupled Device) element or a CMOS (Complementary Metal Oxide Semiconductor) element. The acquisition unit 3 is arranged one or more so that the detection unit 31 can detect the situation of the target B in the environment A, and the detection unit 31 detects the situation of the target B in the environment A and targets. The situation of B is acquired in the form of detection data such as an image or a moving image. The situation of the target B here may be, for example, the situation of the clothes or the things worn by the target B, or the situation of the movement / work of the target B. Then, the detection unit 31 passes the acquired detection data to the acquisition communication unit 32. It is preferable that the acquisition unit 3 is arranged above the environment A (for example, the ceiling A'of the environment A) and detects from the upper side to the lower side.

The acquisition communication unit 32 has at least a function of transmitting data and signals, and transmits the detection data acquired by the detection unit 31 to the processing unit 4, which will be described later. This transmission may be performed by wireless communication or wired communication. Then, the operation of transmitting from the acquisition communication unit 32 is performed at the stage where the detection data is passed from the detection unit 31.

The operation of acquiring the detection data by the detection unit 31 may be performed at regular intervals. For example, the acquisition operation may be performed at regular intervals for 24 hours regardless of the situation of the lighting unit 2, or the acquisition operation may be performed at regular intervals only while the lighting unit 2 is lit. Further, the operation of acquiring the detection data by the detection unit 31 may be performed at the stage when the trigger is input from the outside. For example, the detection unit 31 may perform an operation of acquiring detection data by using the acquisition communication unit 32 as a trigger to receive a signal from the outside.

Further, the operation of transmitting the detection data from the acquisition communication unit 32 to the processing unit 4 may be transmitted at the stage when the detection data has changed. That is, the acquisition unit 3 detects the change in the detection data, and when the detection data changes, the detection data in which the change is found is transmitted to the processing unit 4. In this case, the detection data in which no change is observed is not transmitted to the processing unit 4. It should be noted that the change in the detection data indicates that the situation of the target B has changed in some way. For example, the situation of movement (business) may change, or what you are wearing may change. In this case, it is desirable that the acquisition unit 3 has a function of storing the detection data (detection storage unit) and a function of calculating the difference of the detection data (detection difference calculation unit). To give an example when the detection data is image data, the difference between the detection data acquired by the detection unit 31 one before and the detection data acquired by the detection unit 31 this time is calculated, and the difference is the threshold value. If it exceeds, the detection data of this time is transmitted to the processing unit 4. When the detection data is moving image data, the comparison is performed in units of frames (frames) included in the detection data. For example, the difference between the first frame of the detection data acquired by the detection unit 31 immediately before and the first frame of the detection data acquired by the detection unit 31 this time is calculated, and the difference exceeds the threshold value. If so, the detection data this time is transmitted to the processing unit 4. Further, for example, when the difference between the first frame of the detection data acquired by the detection unit 31 this time and the last frame of the detection data acquired by the detection unit 31 this time is calculated, and the difference exceeds the threshold value, the difference is calculated. The detection data this time is transmitted to the processing unit 4.

The acquisition unit 3 is arranged so that the detection unit 31 can detect the status of the target B in the environment A, and the processing communication unit 32 can transmit (or receive) data and signals. Therefore, it is not necessary that all of the acquisition units 3 are arranged in the environment A. For example, only the photographing unit (lens) of the detection unit 31 may be arranged in the environment A, and the rear part may be arranged outside the environment A.

The processing unit 4 is shown in FIG. The processing unit 4 includes a processing communication unit 41, a determination unit 42, and a storage unit 43. The processing unit 4 receives the detection data acquired by the acquisition unit 3, determines the content of the detection data by extracting the characteristics of the detection data, and outputs a signal according to the determination. The signal output from the processing unit 4 is received by the control unit 5, which will be described later. Therefore, the processing unit 4 may be arranged at any position as long as the detection data acquired by the acquisition unit 3 can be received and the signal transmitted from the processing unit 4 can be received by the control unit 5. The processing unit 4 may be arranged in the environment A like the lighting unit 2, may be arranged outside the environment A, or may be incorporated in the lighting unit 2. Further, the processing unit 4 may be provided on a cloud server that provides a cloud service accessible via the Internet or the like.

The processing communication unit 41 has a reception function for receiving data and signals and a transmission function for transmitting data and signals. This reception and transmission may be performed by wireless communication or wired communication.

The determination unit 42 includes, for example, a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit), and the processor executes a program stored in the storage unit 43 to realize a program function. do. Further, the determination unit 42 can be realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The storage unit 43 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. Then, the information and signals received by the processing communication unit 41, the program for operating the determination unit 42, the type and position data of the lighting unit 2, the position data of the acquisition unit 3, the result extracted by the determination unit 42, the determination result, and the like are obtained. Remember. Further, although the details will be described later, the storage unit 43 may store the illumination mode table used when determining the illumination control.

The control unit 5 has a reception function for receiving data and signals and a transmission function for transmitting data and signals. This reception and transmission may be performed by wireless communication or wired communication. Then, the signal transmitted from the processing unit 4 is received, the control signal based on the signal is transmitted to the lighting unit 2, and the lighting unit 2 is controlled. The control unit 5 may be arranged separately from the lighting unit 2 and the processing unit 4, may be arranged integrally with the lighting unit 2, or may be arranged integrally with the processing unit 4. You may be. When the lighting unit 2 is composed of a plurality of lighting devices, the control unit 5 may be arranged in the same number as the lighting devices.

Next, the movement of the entire lighting system 1 will be described with reference to FIG. In the lighting system 1, control is performed to change the lighting mode of the lighting unit 2 based on the detection data acquired by the detection unit 3. The changes in the lighting mode here are switching from general lighting to local lighting, switching from local lighting to general lighting, changing the output ratio between general lighting and local lighting, changing the brightness (dimming), and changing the irradiation color. (Toning) and combinations of these changes can be mentioned.

First, the acquisition unit 3 acquires the status of the target B of the environment A as detection data, and then performs an operation of transmitting the detection data to the processing unit 4 (step S1). As described above, the detection unit 31 of the acquisition unit 3 acquires the detection data, passes the detection data to the acquisition communication unit 32, and the acquisition communication unit 32 transmits the detection data to the processing unit 4. The detection data here may be image data or moving image data.

Next, the processing unit 4 receives the detection data transmitted from the acquisition unit 3, and the processing unit 4 performs an operation of determining the attribute of the detection data (step S2). As described above, the detection data transmitted from the acquisition unit 3 is received by the processing communication unit 41 of the processing unit 4, and is passed from the processing communication unit 41 to the determination unit 42. The determination unit 42 determines the attributes of the detection data. The attributes of the detection data here are, for example, the person attributes of the target B included in the detection data and the environmental attributes of the parts other than the target B included in the detection data, both of which are visual. It is an attribute that is judged based on the characteristics. In addition, the visual features here are features that can be captured by the eyes and cameras, such as physical features of human beings, features of clothing worn by humans, and environment A. It may be a feature of things that are placed in. If the processing unit 4 cannot determine the attribute of the detected data, the step ends. The details of step S2 will be described later.

As the next step, an operation of determining the lighting mode based on the attribute determined by the processing unit 4 is performed (step S3). The operation for determining the lighting mode may be determined according to a predetermined lighting mode table, or may be determined using a learning model generated by machine learning. The details of step S3 will also be described later.

Further, as a next step, a control command based on the lighting mode determined by the processing unit 4 is transmitted from the processing unit 4 to the control unit 5 (step S4), and the control unit 5 controls the lighting unit 2 (step S5). .. The control command in step S4 may be the control signal itself, or may be information indicating the content of control, not the control signal itself. When information indicating the content of control is transmitted from the processing unit 4 to the control unit 5, the control unit 5 that receives the information converts the information into a control signal, and the lighting unit 2 is controlled by the control signal. When the lighting unit 2 is composed of a plurality of lighting devices or when a plurality of control units 5 are present, it is desirable that the control command transmitted from the processing unit 4 includes the destination information. For example, it is desirable that an identification number is assigned to the lighting device 2 and the control unit 5, and the control command includes the identification number.

In such a step, lighting control is performed based on the detection data indicating the status of the target B of the environment A acquired by the acquisition unit 3. Therefore, the target B in the environment A can control the lighting without wearing a wearable terminal or the like, and the system is not complicated, and the target B does not have any discomfort due to wearing the wearable terminal. I'm done.

The details of step S2 and step S3 will be described. Steps S2 and S3 are steps executed by the processing unit 4. Further, as described above, the attributes of the detection data include the person attribute in the detection data and the environment attribute in the detection data, but in the following, the detection data is an image (photograph) including the target B in the environment A. , The step of determining the person attribute of the target B from the image and determining the lighting mode will be described. The person attribute of the target B is classified into a physical attribute of the target B and an action attribute of the target B. In other words, if the body attribute of the target B and the motion attribute of the target B are specified from the detection data, the person attribute of the target B can be specified.

First, the person attribute will be described. FIG. 6 shows an example of a physical attribute which is one of the attributes constituting a person attribute, and FIG. 7 shows an example of an operation attribute which is one of the attributes constituting a person attribute. Physical attributes are further classified into two types, one is a physical attribute that indicates physical characteristics such as hair, face, and body, and the other is a clothing attribute that indicates characteristics such as a hat, glasses, clothes, and accessories that are worn. Is. The motion attribute is an attribute showing characteristics such as movement and change of body attribute and clothing attribute. These physical attributes and motion attributes are attributes that are easy to detect when the acquisition unit 3 is arranged above the environment A (for example, the ceiling A'of the environment A) and detects from above to below.

Next, the flow of step S2 performed by the processing unit 4 will be described with reference to FIG.

First, the processing unit 4 that has received the detection data transmitted from the detection unit 3 extracts the body attribute from the detection data (step S21). Body attributes include human characteristics such as hairstyle, location and shape of eyes, and human conditions such as the open / closed state of eyes and mouth, and the position and orientation of face and body. Therefore, even if there are a plurality of people in the detection data, each person can be identified by using the body attribute. As for the hairstyle, it is not possible to extract the whole hairstyle if it is covered with a hat, but it is sufficient if only the part protruding from the hat (for example, sideburns, sideburns, etc.) can be extracted. Then, in step S21 for extracting body attributes, a number determination step and a person identification step are performed.

In the number of people determination step, the number of people included in the detection data and the position of the person are determined from the position where the body attribute is extracted from the detection data. For example, if the hair of the body attribute can be extracted at three places in the detection data, it can be determined that there are three people in the detection data. At this time, the accuracy of determining the number of people can be improved by determining not only the position of one body attribute but also the positions of a plurality of body attributes (for example, hair, head, body, hands, etc.) in combination. If it is determined in this number determination step that there are no people in the detection data, step S2 ends. In this case, the lighting control may be performed for the result of 0 people, or the entire step of the lighting system 1 may be completed with the result of 0 people, and the lighting control may not be performed.

The person identification step labels (for example, persons A, B, C, etc.) the persons determined to be in the detection data, and associates each person with the extracted body attributes. This association identifies an individual. It is desirable that the person identification step is performed after the person determination step.

Next, the clothing attribute is extracted from the detection data (step S22). The clothing attribute is an attribute of clothing worn by a person determined to be in the detection data. Clothing here refers to what is worn on the body and includes clothing, glasses, hats, accessories, gloves, and the like. And the clothing attribute is, for example, if the person is wearing a hat, whether the hat is a helmet or a cap, the type, the color of the hat, and the accessories attached to the hat (for example, a badge, etc.) (Stickers, etc.) are extracted, and the orientation of the collar of the hat is extracted. The extracted clothing attributes are also associated with the labeling done in step S21.

When this step S22 is completed, the detection data, the extracted body attribute, and the extracted clothing attribute may be stored in the storage unit 43 of the processing unit 4. In that case, for example, it is desirable to store the detection data in association with the date and time when the detection data was detected, the acquisition number (serial number) of the detection data, and the like.

Next, the operation attribute is extracted from the detection data (step S23). In the extraction of this operation attribute, comparison with past data is performed. That is, the body attributes and clothing that are stored in association with the body attributes and clothing attributes extracted up to step S22 (hereinafter referred to as data this time) and the past detection data stored in the storage unit 43 of the processing unit 4 The operation attribute is extracted by comparing the attribute and the operation attribute (hereinafter referred to as past data). For example, by comparing the body attributes of the two data of the past data and the current data, it is possible to extract which part of the human body has moved in which direction between the two data. Further, by comparing the clothing attributes of the two data, it is possible to extract the attachment / detachment or change of the clothing between the two data. The past data to be compared here is preferably the past data acquired one before the current data, but may be the past data acquired two or more before.

Next, the person attribute of the detection data is determined (step S24). In the determination of the person attribute, the operation attribute extracted in step S23 is used for the determination. The determination of the person attribute that can be performed using only the motion attribute extracted in step S23 is, for example, the situation of clothing, the situation of work, and the like. From the movement attributes related to clothing, those who wore it from the state of not wearing clothing, those who took it off from the state of wearing clothing, those who changed clothing (direction of the brim of the hat, type of glasses, type of clothing, etc.), You can judge the person attribute. Also, the person attribute that the person wearing the helmet is a person who is working constantly can be judged, but the person attribute that the person with the sticker of the person in charge on the helmet is the person who came to the patrol can be judged. .. Furthermore, from the motion attributes related to the hand, it is possible to determine the person attributes related to the work situation, such as the person who started the XX work and the person who interrupted (finished) the XX work.

Further, in the determination of the person attribute, the operation attribute extracted in step S23 and the operation attribute of the past data may be compared and determined. By comparing and determining the operation attribute extracted in step S23 and the operation attribute of the past data, it is considered whether the operation attribute extracted in step S23 is temporary or continuous. It is possible to judge the person attribute. For example, considering the case where the motion attribute that the head did not move is extracted in step S23, it can be estimated that the motion attribute that the head did not move even in the past data is concentrated, and the work is concentrated. The person attribute of a person can be judged. Further, for example, when the motion attribute that the head moves in the direction A is extracted in step S23, in the case of the motion attribute that the head moves in the direction A in the past data, the work of moving the head continuously (intermittently). It can be presumed that the person is working, and the person attribute of the person who is working can be determined. Further, in the case of the motion attribute that the head moves in the direction B in the past data, it can be estimated that the head is moving randomly, and the person attribute of the person performing the unrelated motion can be determined. In addition, unrelated movements refer to irregular movements such as those performed by people who lack concentration, and movements that are not directly related to the work currently being performed. For example, the movements of moving the head and body by fluttering and the movements of moving the head and body by swaying are included in the unrelated movements.

In this way, the person attribute of the target B is determined from the detection data, and step S24 is completed and step S2 is also completed. The above-mentioned steps have introduced the case where the detection data is an image (photograph) including the target B in the environment A, but the detection data may be a moving image. When the detection data is a moving image, the above steps are basically performed for the final frame of the moving image. Further, when comparing with the past data, the comparison with the past frame in the same moving image data may be performed, or the comparison with the frame of different moving image data may be performed.

When step S2 (step S24) is completed, it is desirable to record (save) all the extracted person attributes in the storage unit 43 of the processing unit 4. For example, when the detection data, the body attribute, and the clothing attribute are recorded in the storage unit 43 when step S22 is completed, the motion attribute may be recorded in addition to the recording. Further, when the detection data, the body attribute, and the clothing attribute are not recorded in the storage unit 43 at the stage where step S22 is completed, the detection data, the body attribute, the clothing attribute, and the action attribute are used. May be collectively recorded in the storage unit 43. In this case as well, it is desirable to store the detection data in association with the date and time when the detection data was detected, the acquisition number (serial number) of the detection data, and the like.

Next, the step of determining the lighting mode of step S3 will be described in detail. In step S3, the determination unit 42 of the processing unit 4 determines the lighting mode according to the attribute of the detection data determined in step S2. In the determination of the lighting mode, the determination is made according to the lighting mode table stored in the storage unit 43 in advance. The lighting mode table is shown in FIG. If it is determined in step S2 that there are no people in the detection data, it may be selected to dim the lighting or turn off the lighting regardless of the lighting mode table.

The lighting mode table is composed of attributes of detection data and lighting modes corresponding to the attributes. For example, for the person attribute of a person wearing glasses, the lighting mode of increasing the illuminance is determined. This is because when wearing glasses, the amount of light that enters the eyes is reduced by the absorption and reflection of light by the glasses. An illumination mode is determined in which the visibility of increasing the illuminance is improved in order to compensate for the reduced light. In addition, for the person attribute of the person who has taken off the glasses, the lighting mode of lowering the illuminance is determined. This is because the amount of light that enters the eyes increases when the glasses are removed, and if more light is supplied than necessary, the visibility is rather reduced. In addition, the lighting mode is determined to light up in the color of a light bulb for the person attribute of a person working on a PC, and it is said to light up in neutral white for the person attribute of a person working on paper. The lighting mode is determined. This has the effect of supplying a light color that makes it easy to see the PC screen and the paper surface, and the effect of improving concentration and changing the mood by appropriately adjusting the dimming and toning of the lighting when the work content changes. This is because it is done. Furthermore, for the person attribute of the person who started the work, the lighting mode of increasing the illuminance is determined, and for the person attribute of the person who interrupted (finished) the work, the lighting mode of decreasing the illuminance is determined. To. This is because it is possible to obtain the effect of increasing the illuminance for the person who is working to improve the work efficiency, and reducing the illuminance when the work is interrupted (finished) to save energy. In addition, for the person attribute of a person who is working intensively, the lighting mode of turning on the general lighting is determined, and for the person attribute of a person who is performing unrelated movements, local lighting is used. The lighting mode of lighting is determined. This is because the unrelated movement appears as the concentration of the worker decreases, so that it is possible to obtain the effect of promoting the concentration by the local lighting for the person performing the unrelated movement. Local lighting concentrates, and after a certain period of time, unrelated movements decrease, or after a certain period of time, the person attribute changes to the person who concentrates and works, and switching to general lighting is performed.

Further, as an item not described in the lighting mode table shown in FIG. 9, if the operation attribute has not changed from the previous time, it may be decided to maintain the current lighting mode. Further, for example, for the person attribute of a person wearing a hat, the lighting mode of increasing the illuminance is determined, and for the person attribute of the person who has removed the hat, the lighting mode of decreasing the illuminance is determined. May be done. This is intended to be controlled in a direction that supplements the light blocked by the hat. Similarly, for the person attribute of the person who moved the collar of the hat to the face side, the lighting mode of increasing the illuminance was determined, and for the person attribute of the person who moved the collar of the hat to the back of the head side, the illuminance was determined. The lighting mode of lowering may be determined. Further, for the person attribute of a person who has applied eye drops a plurality of times, an illumination mode such as increasing the illuminance or turning on the local illumination may be determined. One of the cases of eye drops is when drowsiness is felt, so the purpose is to control lighting to eliminate drowsiness.

The determination of the lighting mode in step S3 does not have to be determined by the table as shown in FIG. In that case, the processing unit 4 is equipped with artificial intelligence that has learned the above-mentioned determination, and the detection data acquired by the acquisition unit 3 may be input to this artificial intelligence, and the artificial intelligence may output the lighting mode. ..

In this way, the lighting mode is determined and step S3 is completed. After that, a control command is issued from the processing unit 4 to the control unit 5 based on the determined lighting mode (step S4). At this time, the control command is determined using the type and position data of the lighting unit 2 stored in the storage unit 43 of the processing unit 4, the position data of the acquisition unit 3, and the like. For example, the lighting to be controlled is determined from the range of the detection data acquired by the acquisition unit 3 and the positional relationship of the illumination unit 2, or the output of the illumination unit 2 is referred to by referring to the controllable range stored as the type of the illumination unit. To judge. When the lighting mode is determined by the table as shown in FIG. 9, the lighting mode is uniquely determined from the operation attribute, and therefore the determined lighting target is stored in the storage unit 43 of the processing unit 4. There is no need to record in the department. However, if it is equipped with artificial intelligence, it is preferable to record the determined lighting mode in the storage unit 43.

Next, an operation example of the lighting system 1 of the present embodiment is shown with reference to FIG. FIG. 10A shows the past state, and FIG. 10B shows the current state. The past state indicates a state in which the lighting system 1 has been operated in the past and has been operated. The current state shows the operation to be introduced from now on. The left side of FIGS. 10A and 10B substantially coincides with the past detection data stored in the storage unit 43 of the processing unit 4. The reason why they are almost the same here is that the illumination unit 2 and the acquisition unit 3 are shown in FIG. 10 for the sake of explanation. The detection data acquired by the acquisition unit 3 does not have to include the lighting unit 2 and the acquisition unit 3. Further, the right side of 10 (a) and (b) is an example of a person attribute (body attribute, motion attribute) determined from the detection data on the left side. In the example of FIG. 10, the environment A is an arbitrary room, and the persons B1 and B2 exist as the objects B in the environment A. B1 has been wearing glasses from the past to the present, but B2 has no noticeable movement. The lighting unit 2 and the acquisition unit 3 are arranged on the ceiling of the environment A, and one lighting unit 2 includes both general lighting means and local lighting means.

See FIG. 10 (b). First, the detection data (left in FIG. 10) acquired by the acquisition unit 3 is transmitted to the processing unit 4, and the body attributes of the detection data are extracted (step S21). Then, the hairstyle A is extracted at the X points, the eyes and the mouth are extracted at the X points and the Y points, and the front-facing body is extracted at the X points and the Y points. Here, the processing unit 4 determines that there is one person at each of the X point and the Y point of the detection data. Then label that person. This time, the person at the X point is labeled as B1 and the person at the Y point is labeled as B2. Details are omitted, but at this point, each individual has been identified (discriminated) from the characteristics of hair, face, and body.

Next, the clothing attribute of the detection data is extracted (step S22). Here, from the type, color, and position where the clothes were extracted, B2 is wearing a hat, B1 is wearing protective goggles, and B1 and B2 are wearing work clothes. , Is judged. In addition, information such as colors and accessories may be added in more detail to subdivide. For example, it may be determined that B1 is wearing blue work clothes, B2 is wearing black work clothes, and a person in charge badge is attached as an accessory. Then, at the stage of extracting the clothing attribute, the detection data (FIG. 10 left) and the extracted body attribute (FIG. 10 right) may be recorded in the storage unit 43 of the processing unit 4.

Next, the operation attribute of the detection data is extracted (step S23). Here, the current physical attributes and the past physical attributes are compared. That is, the physical attribute on the right of FIG. 10 (b) extracted this time is compared with the physical attribute on the right of FIG. 10 (a) extracted in the past and recorded in the storage unit 43 of the processing unit 4, and the motion attribute is determined. Extract. This time, the difference between the current physical attribute and the past physical attribute is that B1 wears protective goggles, so it is extracted that B1 wears (protective) goggles as an action attribute.

Next, the person attribute of the detection data is determined (step S24). The person attribute is determined using the current motion attribute and the past motion attribute, but this time, only the fact that B1 wore (protection) glasses was extracted as the motion attribute, so wear (protection) glasses. The person attribute of B1 is determined as the person who did.

Then, the lighting mode is determined based on the determined person attribute (step S3). This time, the lighting mode that raises the illuminance around B1 is determined from the attribute of the person wearing (protective) glasses. It should be noted that the configuration may be such that the lighting mode determined by the type of glasses changes.

Then, a control command for increasing the illuminance around B1 is issued from the processing unit 4 to the control unit 5. Here, a command is issued as to how to control from the position of the lighting unit 2 stored in the storage unit 43 of the processing unit 4 and the data in the controllable range. For example, it may be a command to turn on the local lighting directly above B1, or it may be a command to increase the illuminance of the entire environment A. Then, the control unit 5 that receives this command controls the lighting unit 2.

In the above example, the detection unit 31 of the acquisition unit 3 is a camera or an image sensor, and the detection data is an image or a moving image. However, the detection unit 31 of the acquisition unit 3 may be another sensor. .. For example, the detection unit 31 is a pressure sensor or a gyro sensor, and may detect the movement or pressure of the chair on which the object B of the environment A sits. In this case, the acquisition unit 3 is arranged on the chair. For example, when the pressure of a chair is detected by a pressure sensor, the person attribute of the person seated in the chair is determined from the detection data. That is, since it is presumed that some work will be started, the illuminance may be increased to facilitate the work. Further, for example, when the movement of the chair is detected by the gyro sensor, the person attribute of the person who has changed the sitting direction is determined from the detection data. Then, the local lighting may be turned on according to the changed direction. Further, when the person attribute of a person who changes the sitting direction is frequently determined, it can be determined that he / she lacks concentration, and therefore, local lighting may be turned on to promote concentration.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are also included in the scope of the invention described in the claims and the equivalent scope thereof.

1 Lighting system 2 Lighting unit 3 Acquisition unit 4 Processing unit 41 Processing communication unit 42 Judgment unit 43 Storage unit 5 Control unit

Claims (2)

With the lighting unit that irradiates light;
With the acquisition unit that acquires information on people who are within the light irradiation range of the illumination unit;
A judgment unit that determines attributes including the visual characteristics of the person from the information acquired by the acquisition unit;
With a control unit that controls the lighting mode of the lighting unit according to the attribute determined by the determination unit;
A lighting system characterized by being equipped with. The lighting system according to claim 1, wherein the attribute includes characteristics of clothing worn by the person.

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