JP6367411B1 - Elevator system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To accurately detect a user and reflect it in door opening / closing control without being influenced by an environment at the time of photographing. An elevator system according to an embodiment is installed in a car and has an imaging unit capable of shooting a predetermined range from the vicinity of a door in the car toward a landing, and a photograph taken by the imaging unit. From the image, based on the luminance value measuring means for measuring the average luminance value of a predetermined area set in the car or landing according to the door open / closed state of the door, and the average luminance value measured by the luminance value measuring means, Image correcting means for correcting the contrast of the photographed image, user detecting means for detecting the user by analyzing the photographed image corrected by the image correcting means, and door opening / closing based on the detection result of the user detecting means Control means for controlling the operation. [Selection] Figure 4

Description

  Embodiments described herein relate generally to an elevator system.

  In recent years, various techniques have been devised to prevent people and objects from being caught in elevator car doors. For example, a technique has been devised in which the vicinity of a car door is photographed using a camera and the opening / closing control of an elevator door is performed based on the photographed state near the car door.

  In such a technique, it is necessary to accurately detect the user from the image of the vicinity of the car door, but the detection accuracy of the user greatly depends on the environment when the image of the vicinity of the car door is captured. There is an inconvenience that it will be.

JP 2005-179030 A JP 2003-40541 A

  The problem to be solved by the present invention is to provide an elevator system that can accurately detect a user and reflect it in door opening / closing control without being influenced by the environment during photographing.

An elevator system according to an embodiment is installed in a car, an image pickup unit capable of shooting a predetermined range from the vicinity of a door in the car toward a landing, and a captured image shot by the image pickup unit From the brightness value measuring means for measuring an average brightness value of a predetermined area set in the car or the landing according to the door open / closed state of the door, and the average brightness value measured by the brightness value measuring means Based on this, the contrast of the predetermined area of the photographed image is corrected, and the image correction means that does not correct the contrast of the portion other than the predetermined area of the photographed image, and the photographed image corrected by the image correction means User detecting means for analyzing and detecting a user, and control means for controlling the door opening / closing operation of the door based on the detection result of the user detecting means Comprising a.

FIG. 1 is a diagram illustrating a schematic configuration example of an elevator system according to an embodiment. FIG. 2 is a diagram for explaining a user detection area on the landing side according to the embodiment. FIG. 3 is a view for explaining a user detection area on the car side according to the embodiment. FIG. 4 is a block diagram illustrating a schematic configuration example of the camera according to the embodiment. FIG. 5 is a flowchart showing an example of the procedure of contrast correction processing according to the embodiment. FIG. 6 is a diagram illustrating the relationship between the contrast of the input image and the output image when the contrast correction process is not executed. FIG. 7 is another diagram showing the relationship between the contrast of the input image and the output image when the contrast correction process is not executed. FIG. 8 is a diagram showing the relationship between the contrast of the input image and the output image when the contrast correction process is executed to increase the black contrast. FIG. 9 is another diagram illustrating the relationship between the contrast of the input image and the output image when the contrast correction process is executed to increase the black contrast. FIG. 10 is a diagram illustrating the relationship between the contrast of the input image and the output image when the contrast correction process is executed so as to increase the white contrast. FIG. 11 is another diagram illustrating the relationship between the contrast of the input image and the output image when the contrast correction process is executed so as to increase the white contrast.

Hereinafter, embodiments will be described with reference to the drawings.
FIG. 1 is a diagram illustrating a schematic configuration example of an elevator system according to an embodiment. Note that, here, a single car will be described as an example, but a plurality of cars have the same configuration.

  A camera 12 is installed above the entrance of the car 11. Specifically, the lens portion of the camera 12 is installed in the curtain plate 11a covering the upper part of the entrance / exit of the car 11, with the lens 15 facing the landing 15 side. The camera 12 is a small surveillance camera such as an in-vehicle camera, and has a wide-angle lens, and can continuously capture several frames (for example, 30 frames / second) images per second.

  The camera 12 may be always on and may always shoot, or may be turned on (started up) at a predetermined timing to start shooting, and may be turned off at a predetermined timing to end shooting. Specifically, the camera 12 may be turned on when the moving speed of the car 11 is less than a predetermined value, and may be turned off when the moving speed of the car 11 is greater than or equal to a predetermined value. In this case, the camera 12 starts to decelerate because the car 11 stops at a predetermined floor, and turns on when the moving speed becomes less than a predetermined value, and starts photographing. In other words, the shooting by the camera 12 includes the time when the car 11 stops on the predetermined floor after the car 11 starts decelerating to stop at the predetermined floor and the moving speed becomes less than the predetermined value. The car 11 starts accelerating in order to move from the predetermined floor to another floor, and continues until the moving speed reaches a predetermined value or more.

  The shooting range of the camera 12 is set to L1 + L2 (L1 >> L2). L1 is a shooting range on the landing 15 side and is set from the car door 13 toward the landing 15. L1 is a shooting range on the car 11 side, and is set from the car door 13 toward the back of the car. L1 and L2 are ranges in the depth direction, and a range in the width direction (a direction orthogonal to the depth direction) is at least larger than the lateral width of the car 11.

  In the hall 15 on each floor, a hall door 14 is installed at the arrival entrance of the car 11 so as to be freely opened and closed. The landing door 14 opens and closes by engaging with the car door 13 when the car 11 arrives. The power source (door motor) is on the car 11 side, and the landing door 14 simply opens and closes following the car door 13. In the following description, it is assumed that when the car door 13 is opened, the landing door 14 is also opened, and when the car door 13 is closed, the landing door 14 is also closed.

  Each image (video) continuously captured by the camera 12 is analyzed and processed in real time by the image processing device 20. Specifically, the image processing device 20 detects the user (movement) closest to the car door 13 based on a change in the luminance value of the image, and the detected user is willing to get on the car 11. It is determined whether or not there is a possibility that the detected user's hand or arm may be drawn into the door pocket. The result of the analysis processing by the image processing device 20 is reflected in the control processing (mainly door opening / closing control processing) by the elevator control device 30 as necessary.

  The elevator control device 30 controls the door opening and closing of the car door 13 when the car 11 arrives at the landing 15. Specifically, the elevator control device 30 opens the car door 13 when the car 11 arrives at the landing 15 and closes the door after a predetermined time has elapsed.

However, when a user who intends to get on the car 11 is detected by the image processing device 20, the elevator control device 30 prohibits the door closing operation of the car door 13 and maintains the door open state ( In other words, extend the door opening time). When the image processing device 20 detects a user whose hand or arm may be drawn into the door pocket, the elevator control device 30 prohibits the door opening operation of the car door 13 or the door of the car door 13. A message that prompts the user to leave the car door 13 at a slower opening speed or not is shown in FIG. 1 for the sake of convenience. The device 20 is housed in the curtain plate 11 a together with the camera 12. 1 illustrates a case where the image processing device 20 is provided separately from the elevator control device 30, but is not limited thereto, and the functions of the image processing device 20 are mounted on the elevator control device 30. May be.

  Here, with reference to FIG.2 and FIG.3, the user detection area set in order for the image processing apparatus 20 to detect a user from an image is demonstrated. FIG. 2 shows a user detection area when the car door 13 is in a fully open state or when the car door 13 is in a door closing operation. FIG. 3 shows a case in which the car door 13 is in a fully closed state or the car door 13. Shows the user detection area when the door is open.

  When the car door 13 is fully opened or when the car door 13 is in the door closing operation, the user detection area is set on the landing 15 side. Specifically, as shown in FIG. 2, a position estimation area E1, a boarding intention estimation area E2, and a proximity detection area E3 are set as user detection areas.

  The position estimation area E1 is an area for estimating (detecting) a part of the user's body, specifically the foot position. For this reason, the position estimation area E1 may be referred to as a “foot position estimation area”. The position estimation area E1 is set to have a distance L3 from the center of the car door 13 toward the landing (L3 ≦ shooting range L1 on the landing 15 side). The lateral width W1 of the position estimation area E1 is set to a distance equal to or greater than the lateral width W0 of the car door 13.

  The boarding intention estimation area E2 estimates the position of the user's feet, and based on whether or not the user's feet position is approaching the car door 13 from the landing 15, the presence or absence of the user's intention to board This is an area for estimating. The boarding intention estimation area E2 is set to have a distance L3 from the center of the car door 13 toward the boarding direction (L4 ≦ L3). The lateral width W2 of the boarding intention estimation area E2 is set to be approximately the same distance as the lateral width W0 of the car door 13.

  The proximity detection area E3 estimates (detects) the user's foot position and gets on the user regardless of whether or not the user's foot position is approaching the car door 13 from the landing 15. This is an area that you consider willing. The proximity detection area E3 is set to have a distance L5 from the center of the car door 13 toward the landing (L5 ≦ L4). The lateral width of the proximity detection area E3 is set to the same distance as the lateral width W2 of the boarding intention estimation area E2.

  In addition, the relationship between each user detection area and the door opening / closing control process by the elevator control apparatus 30 is as follows.

  Even if a user is detected in the area, the position estimation area E1 is an area in which the result is not reflected in the door opening / closing control process by the elevator control device 30.

  The boarding intention estimation area E2 is an area in which, when a user is detected in the area and the user has a boarding intention, the result is reflected in the door opening / closing control process by the elevator control device 30. Specifically, processing such as extending the door opening time is executed by the elevator control device 30.

  Furthermore, the proximity detection area E <b> 3 is an area in which the user is detected in the area and the result is reflected in the door opening / closing control process by the elevator control device 30. Specifically, processing such as extending the door opening time is executed by the elevator control device 30.

  When the car door 13 is in the fully closed state or when the car door 13 is in the door opening operation, the user detection area is set on the car 11 side. Specifically, as shown in FIG. 3, the pulled-in detection area E4 is set as a user detection area. The drawn-in detection area E4 is set to have a distance L6 from the center of the car door 13 toward the car (L6 ≦ shooting range L2 on the car 11 side). The lateral width of the drawn-in detection area E4 is set to be approximately the same distance as the lateral width W0 of the car door 13.

  The drawn-in detection area E4 is an area for estimating (detecting) the position of the user's feet. When a user is detected in the area, the result is reflected in the door opening / closing control process by the elevator control device 30. It is. Specifically, the elevator control device 30 prohibits the door opening operation of the car door 13, slows the door opening speed of the car door 13, notifies the user of a message prompting the user to leave the car door 13, etc. Processing is executed.

FIG. 4 is a block diagram illustrating a schematic configuration example of the camera 12.
As shown in FIG. 4, the camera 12 includes an imaging unit 121, a luminance value measuring unit 122, an image correcting unit 123, an image memory 124, and the like.

  The luminance value measurement unit 122 and the image correction unit 123 cause a processing device such as a CPU (Central Processing Unit) (not shown) to execute a program loaded from a ROM (Read Only Memory) (not shown), that is, software May be realized by hardware such as an IC (Integrated Circuit) or may be realized by using software and hardware together.

  Further, in the present embodiment, the case where the luminance value measurement unit 122 and the image correction unit 123 are realized as functions of the camera 12 is illustrated, but the present invention is not limited thereto, and the luminance value measurement unit 122 and the image correction unit 123 are implemented. May be realized as a function of the image processing apparatus 20.

  The imaging unit 121 includes an optical lens, an image sensor, and an electronic shutter. The optical lens forms an image on the image sensor with panfercas, adjusts the exposure time with the electronic shutter, and digitizes the image for each pixel with the image sensor. The image signal obtained as a result is temporarily stored in the image memory 124.

  The luminance value measurement unit 122 specifies at least one area of the user detection areas according to the door opening / closing state of the car door 13. The luminance value measurement unit 122 extracts a specified user detection area portion from the image captured by the imaging unit 121, and measures the average luminance value of the extracted image of the user detection area portion.

  The average luminance value is an average of luminance values of a large number of pixels constituting the extracted user detection area image.

  In the present embodiment, the luminance value measurement unit 122 measures the average luminance value of the image in the user detection area portion, but the present invention is not limited to this, and simply the average luminance of the image captured by the imaging unit 121. The value may be measured.

  The image correcting unit 123 acquires an average luminance value of a predetermined user detection area portion from the luminance value measuring unit 122 according to the door open / close state of the car door 13.

  For example, when the car door 13 is in the fully closed state (referred to as “initial state”), the image correction unit 123 acquires the average luminance value of the user detection area portion set on the car 11 side from the luminance value measuring unit 122. To do. When the car door 13 is fully opened, the image correcting unit 123 acquires the average luminance value of the user detection area set on the landing 15 side from the luminance value measuring unit 122.

  When the image correction unit 123 acquires the average luminance value of the user detection area portion from the luminance value measurement unit 122, the image correction unit 123 determines the contrast correction value with reference to the contrast correction table in which the average luminance value and the contrast correction value are associated with each other. The image is corrected based on the contrast correction value.

  More specifically, the image correction unit 123 reads the contrast correction value associated with the acquired average luminance value from the contrast correction table, and applies the image signal indicating the image used when measuring the average luminance value to the image signal. Correction is performed to increase the contrast of the image (entire) by multiplying the contrast correction value.

  Note that the image correction unit 123 may correct only the contrast of the user detection area portion where the average luminance value is measured, not the contrast of the entire image.

  In addition, the image correction unit 123, when the luminance value measurement unit 122 designates a plurality of user detection areas on the landing 15 side as measurement targets, and the average luminance value is measured for each user detection area portion, A contrast correction value is determined for each average luminance value, and the contrast of the image is corrected for each user detection area instead of correcting the contrast of the entire image collectively.

  In this case, with respect to the contrast of the portion that is not the user detection area in the image, the image correction unit 123 may correct the contrast using a contrast correction value corresponding to any of the user detection areas, Contrast correction may not be performed.

  The image after contrast correction by the image correction unit 123 is stored in the image memory 124, read out in units of frames, and sent to the image processing apparatus 20.

  Next, an example of the procedure of contrast correction processing executed by the camera 12 configured as described above will be described with reference to the flowchart of FIG. Here, the case where the case where the car door 13 is in the fully closed state is assumed to be the initial state will be described. It is assumed that the above-described contrast correction table is stored in advance in a memory (not shown) of the camera 12.

  Since the case where the car door 13 is in the fully closed state is set as the initial state as described above, first, the luminance value measuring unit 122 first sets the user detection area set on the car 11 side as the measurement target of the average luminance value, That is, it is drawn in and the detection area E4 is designated (step S1).

  Subsequently, the brightness value measuring unit 122 is a detection area in which an image is captured (hereinafter referred to as “initial image when fully closed”) captured by the imaging unit 121 in the initial state (when the camera is activated). The average luminance value of the E4 portion is measured (step S2).

  Next, the image correcting unit 123 acquires the average luminance value of the drawn detection area E4 measured using the fully closed initial image from the luminance value measuring unit 122. Thereafter, the image correction unit 123 reads the contrast correction value associated with the acquired average luminance value from the contrast correction table, and determines this as the contrast correction value during the door opening operation from the fully closed state (step S3). .

  The image correcting unit 123 corrects the contrast of the entire initial image when fully closed using the determined contrast correction value (step S4), and records the image after contrast correction in the image memory 124.

  Here, the image correction unit 123 corrects the contrast of the entire initial image when fully closed, but is not limited thereto, and only corrects the contrast of the in-car detection area E4 in the initial image when fully closed. You may do that.

  Further, the image captured after the fully closed initial image is subjected to correction using the contrast correction value determined by the processing in step S3 described above until the car door 13 shifts to the fully open state.

  The image correction unit 123 determines whether or not the door open / close state of the car door 13 has shifted to the fully open state (step S5). In addition, when it determines with not having transferred to the full open state (NO of step S5), the process of step S5 is repeatedly performed until the car door 13 will be in a full open state.

  On the other hand, when it determines with having shifted to a full open state (YES of step S5), the luminance value measurement part 122 uses the measurement object of an average luminance value from the user detection area of the passenger car 11 side on the landing 15 side. It changes to a person detection area (step S6). Below, for convenience of explanation, a case will be described in which the proximity detection area E3 is designated as the measurement target of the average luminance value in the user detection area on the landing side.

  Subsequently, the luminance value measuring unit 122 determines the average luminance value of the proximity detection area E3 portion in the first image taken after the car door 13 is shifted to the fully opened state (hereinafter, referred to as “initial image when fully opened”). Is measured (step S7).

  Next, the image correction unit 123 acquires the average luminance value of the proximity detection area E3 portion measured using the initial image when fully opened from the luminance value measuring unit 122. Thereafter, the image correction unit 123 reads the contrast correction value associated with the acquired average luminance value from the contrast correction table, and determines the contrast correction value from the fully open state to the contrast correction value during the door closing operation (step S8).

  The image correcting unit 123 corrects the contrast of the entire initial image when fully opened using the determined contrast correction value (step S9), and records the image after contrast correction in the image memory 124.

  Here, the image correction unit 123 corrects the contrast of the entire initial image when fully opened. However, the present invention is not limited to this. Even if only the contrast of the proximity detection area E3 portion of the initial image when fully opened is corrected. good.

  Further, the image captured after the fully opened initial image is subjected to correction using the contrast correction value determined by the above-described processing in step S8 until the car door 13 shifts to the fully closed state.

  The image correcting unit 123 determines whether the door open / close state of the car door 13 has shifted to the fully closed state (step S10). In addition, when it determines with not having transferred to the fully closed state (NO of step S10), the process of step S10 is repeatedly performed until the car door 13 will be in a fully closed state.

  On the other hand, when it is determined that the fully closed state has been entered (YES in step S10), the process returns to the above-described step S1, and a series of processes are repeatedly executed.

  In addition, although the case where only the proximity detection area E3 of the user detection areas on the landing 15 side is designated as the measurement target of the average luminance value has been described here, for example, all the user detection areas on the landing 15 side That is, the position estimation area E1, the boarding intention estimation area E2, and the proximity detection area E3 may be designated as the measurement target of the average luminance value.

  In this case, the luminance value measuring unit 122 measures the average luminance value for each user detection area. In addition, the image correction unit 123 determines a contrast correction value for each measured average luminance value, and corrects the contrast of the fully opened initial image for each user detection area portion. About parts other than a user detection area part, you may correct | amend using any contrast correction value, and do not need to correct | amend.

  In FIG. 5, the image correction unit 123 determines the contrast correction value by referring to the contrast correction table and corrects the contrast of the captured image. However, the present invention is not limited to this. For example, the image correction unit 123 If the average luminance value is less than the first threshold value set in advance, it may be determined that the captured image contains a large amount of black, and the captured image may be corrected so as to increase the black contrast. Further, when the average luminance value is equal to or greater than the second threshold value set in advance, the image correction unit 123 determines that the captured image contains a lot of white and corrects the captured image so as to increase the white contrast. May be. Furthermore, when the average luminance value is equal to or higher than the first threshold value set in advance and lower than the second threshold value, the image correction unit 123 determines that the photographed image has a normal hue and does not perform contrast correction. (Alternatively, correction may be performed to increase the contrast of gray, which is an intermediate color between black and white).

  In FIG. 5, the image correction unit 123 determines the contrast correction value when the door opening / closing state of the car door 13 is the fully closed state and the fully open state. It is not limited to. For example, by causing the luminance value measuring unit 122 to always measure the luminance value around the sill groove (sill) and always acquiring the luminance value, the image correcting unit 123 can detect the change in the luminance value around the sill. 11 may be detected, and the contrast correction value may be determined again at a timing when it is detected that the user has entered or exited in addition to the door open / closed state of the car door 13.

According to the embodiment described above, the following advantages can be obtained.
In describing the advantages, as an object to be compared, first, an input image and an output image when the contrast correction process is not executed will be described.

  6 and 7 show the relationship between the contrast of the input image and the output image when the contrast correction processing according to the present embodiment is not executed. Here, it is assumed that both the input image and the output image are in gray scale. The input image is an image taken by the imaging unit 121, and the output image is an image sent to the image processing device 20.

  The X axis in FIG. 6 indicates the contrast value of the input image, and the Y axis indicates the contrast value of the output image. In FIG. 6, the origin is black (for example, “0” when 256 gradations can be expressed), and the whiteness (brightness) increases as the values on both the X and Y axes increase. The maximum value indicates white (for example, “255” in the case where 256 gradations can be expressed).

  When the contrast correction processing according to the present embodiment is not executed, the contrast of the input image and the output image is the same. Therefore, the graph shown in FIG. 6 is a straight line having a 45 ° inclination, and the input image block shown in FIG. B1 to B8 and blocks B1a to B8a of the output images corresponding to the blocks B1 to B8 respectively show the same color.

In this case, the following inconvenience may occur.
For example, in the input image taken by the camera 12, the floor color (luminance value) and the color (luminance value) of the user's clothes reflected in the image are similar (similar colors). Inconveniently, the user cannot be detected with high accuracy by the image processing apparatus 20.

  More specifically, when the floor color is the same color as the block B1 shown in FIG. 7 and the color of the user's clothes is the same color as the block B3 shown in FIG. 7, in the output image sent to the image processing apparatus 20 However, the floor color is expressed by the color of the block B1a which is the same color as the block B1, and the color of the user's clothes is expressed by the color of the block B3a which is the same color as the block B3. There is almost no difference in value, and the image processing apparatus 20 cannot accurately detect the user. This is due to the fact that the image processing device 20 detects a user's movement based on a change in luminance value.

  Therefore, in the present embodiment, the contrast correction process described above is executed. Hereinafter, a case where the contrast correction process according to the present embodiment is performed so as to increase the black contrast will be described with reference to FIGS. 8 and 9. 8 and 9 show the relationship between the contrast between the input image and the output image on which the contrast correction processing has been executed so as to increase the black contrast.

  The black portion in the input image is corrected so as to be slightly white (bright) in the output image by the above-described contrast correction processing. For this reason, the graph shown in FIG. 8 has a shape in which the value of the Y-axis is generally larger than the graph shown in FIG. Further, as shown in FIG. 9, blocks B1 to B8 in the input image are like blocks B1b to B8b in the output image.

  According to this, the color of the floor in the input image is the same color as the block B1 shown in FIG. 9, the color of the clothes of the user on the floor is the same color as the block B3 shown in FIG. Even if there is almost no difference between the luminance values of the two blocks in the image, in the output image, the floor color is the same as the block B1b shown in FIG. 11, and the color of the user's clothes is the block shown in FIG. Since it is the same color as B3b, it is possible to make a difference between the luminance values of the two blocks compared to the input image.

  That is, the image processing apparatus 20 can detect the user with high accuracy even if the color of the floor and the color of the clothes of the user are similar.

  In the following, the case where the contrast correction processing according to the present embodiment is executed to increase the white contrast will be described with reference to FIGS. 10 and 11. 10 and 11 show the relationship between the contrast between the input image and the output image on which the contrast correction processing has been executed so as to increase the white contrast.

  The white portion in the input image is corrected so as to be slightly black (dark) in the output image by the above-described contrast correction processing. For this reason, the graph shown in FIG. 10 has a shape in which the value of the Y axis is generally smaller than the graph shown in FIG. Also, as shown in FIG. 11, blocks B1 to B8 in the input image are like blocks B1c to B8c in the output image.

  According to this, the color of the floor in the input image is the same color as the block B8 shown in FIG. 11, the color of the clothes of the user on the floor is the same color as the block B6 shown in FIG. Even if there is almost no difference in luminance values between the two blocks in the image, in the output image, the floor color is the same as the block B8c shown in FIG. 11, and the user's clothing color is the block shown in FIG. Since it is the same color as B6c, it is possible to make a difference between the luminance values of the two blocks compared to the input image.

  That is, also in this case, the image processing apparatus 20 can accurately detect the user even if the color of the floor and the color of the clothes of the user are similar colors.

  Note that the contrast correction value used when the car 11 stops at a predetermined floor may be stored in a memory (not shown) as a contrast correction value unique to the predetermined floor. According to this, when the car 11 stops at the predetermined floor again, the image correction unit 123 reads the contrast correction value stored in a memory (not shown) and corrects the captured image. It is possible to easily correct the contrast.

  In addition, when storing the floor and the contrast correction value used when stopping on the floor in association with each other, it is preferable to further store the time zone and time (season) in association with each other. This is because the influence of sunlight on the floor of the hall 15 varies depending on the time zone and time. According to this, when the car 11 stops again on the floor once stopped, the image correction unit 123 reads out the contrast correction value suitable for the current time zone and time on the floor, and shoots. Since the image only needs to be corrected, the contrast of the image can be easily corrected.

  If the contrast correction value is stored in association with the time zone and time in addition to the floor, the contrast correction value corresponding to this is not likely to stop at the predetermined floor during a specific time zone or time. There may be a case where only the memory is not stored in the memory (not shown). For this reason, the image correction unit 123 is equipped with a learning function, and the contrast correction value used when stopping at the predetermined floor in the specific time zone or time is estimated from other information stored in the memory. May be stored in a memory.

  In the present embodiment, the contrast correction value is determined from the average luminance value. However, the present invention is not limited to this. For example, a sensor (for example, an infrared sensor or a luminometer) attached near the camera 12 is used. Information on the current brightness may be acquired, and a suitable contrast correction value may be determined (calculated) based on the brightness information.

  In the present embodiment, the luminance value is measured by the luminance value measuring unit 122 in the camera 12, and the image correction unit 123 corrects the contrast of the image based on the measurement result. However, for example, an external device (for example, In the image processing device 20 and the like, contrast correction values corresponding to a predetermined area of the car 11 and a predetermined area of the hall 15 are set in advance, and are set in advance according to the position of the car door 13 (door open / closed state). The contrast of the image may be corrected by selecting an appropriate contrast correction value from the set contrast correction values and giving the selected contrast correction value to the camera 12.

  According to the embodiment described above, since the elevator system has a configuration capable of executing a contrast correction process for correcting the contrast of a captured image, the elevator system is not affected by the environment at the time of shooting. It is possible to provide an elevator system that can be accurately detected and reflected in door opening / closing control.

  In addition, although some embodiment of this invention was described, these embodiment is shown as an example and is not intending limiting the range of invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

  DESCRIPTION OF SYMBOLS 11 ... Car, 11a ... Screen board, 12 ... Camera, 13 ... Car door, 14 ... Platform door, 15 ... Platform, 121 ... Imaging part, 122 ... Luminance value measurement part, 123 ... Image correction part, 124 ... Image memory .

Claims (10)

An imaging means installed in the car and capable of photographing a predetermined range from the vicinity of the door in the car toward the landing;
Luminance value measuring means for measuring an average luminance value of a predetermined area set in the car or the landing according to the door open / closed state of the door, from a photographed image photographed by the imaging means;
Based on the average luminance value measured by the brightness measuring means, the said predetermined contrast area of the photographed image is corrected, the portion other than the predetermined area of the captured image will not correct the contrast image correction means When,
User detection means for detecting a user by analyzing the captured image corrected by the image correction means;
An elevator system comprising: control means for controlling a door opening / closing operation of the door based on a detection result of the user detection means. The luminance value measuring means includes
When the door open / closed state of the door is fully closed, an average luminance value of a predetermined area set in the car is measured, and when the door open / closed state of the door is fully open, the door is set to the landing. The elevator system according to claim 1, wherein an average luminance value of a predetermined area is measured. The luminance value measuring means includes
When a plurality of predetermined areas are set in the hall, an average luminance value is measured for each set area,
The image correcting means includes
Elevator system according to claim 2, characterized in that on the basis of the luminance values each mean luminance values measured for each area by the measurement means, for compensation of the contrast in each of the areas of the captured image. The image correcting means includes
The elevator system according to claim 1, wherein a suitable contrast correction value is determined based on an average luminance value measured by the luminance value measuring means, and the contrast of the predetermined area of the photographed image is corrected. . Further comprising storage means for storing the contrast correction value used by the image correction means when the car stops at a predetermined floor and the floor information indicating the predetermined floor in association with each other;
The image correcting means includes
When the car stops at the predetermined floor again, the contrast correction value associated with the floor information indicating the predetermined floor is read from the storage means, and the contrast of the predetermined area of the photographed image is read. The elevator system according to claim 4, wherein the elevator system is corrected. The storage means
In addition to the contrast correction value and the floor information, time zone information indicating a time zone in which the image correction unit corrects the captured image using the contrast correction value is further correlated. The elevator system according to claim 5. The storage means
In addition to the contrast correction value and the floor information, time information indicating a time when the image correction unit corrects the captured image using the contrast correction value is further associated. Item 6. The elevator system according to Item 5. The image correcting means includes
When the average luminance value measured by the luminance value measuring means is less than the first threshold value, the contrast of the predetermined area of the photographed image is corrected so as to increase the black contrast, and the average luminance value is the second value. 2. The elevator system according to claim 1, wherein the contrast of the predetermined area of the photographed image is corrected so as to increase white contrast when the threshold is equal to or greater than the threshold value. The image correcting means includes
The contrast of the predetermined area of the photographed image is not corrected when an average luminance value measured by the luminance value measuring unit is equal to or more than the first threshold value and less than the second threshold value. The elevator system according to 8. Further comprising obtaining means for obtaining information indicating brightness in the vicinity of the door;
The image correcting means includes
The elevator system according to claim 1, wherein the contrast of the predetermined area of the photographed image is corrected based on information indicating the current brightness acquired by the acquisition unit.

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