Passenger detection system, elevator, and passenger detection method

Abstract

To provide a passenger detection system, an elevator and a passenger detection method which can enhance accuracy of detection of a person in a car.SOLUTION: A passenger detection system includes a camera installed in a car, and an image analysis part for detecting a passenger in the car from an image imaged by the camera. The camera images an imaging area (area 32 at door closing time) including a car door in the car. The image analysis part detects a passenger in the imaging area at door closing time of the car door, and detects a passenger in an area 31 at door opening time excluding a door area which is at least a part of an area including the car door from the imaging area at door opening time of the car door.SELECTED DRAWING: Figure 5

Description

[Technical Field]

[0001] The present invention relates to a passenger detection system, an elevator, and a passenger detection method. [Background technology]

[0002] Generally, there is a known technology that detects people from images or videos captured by a camera and measures the degree of congestion in the elevator. When an elevator that uses this technology detects that the elevator is full, it operates in a way that does not respond to calls from the hall. Also, when it detects that the elevator is empty and no one is getting on or off, the elevator operates by closing the elevator door earlier.

[0003] Patent Document 1 discloses an elevator control system that uses a passenger detection camera. In the elevator control system disclosed in Patent Document 1, a passenger detection camera and a security camera are installed in the elevator car. The passenger detection camera captures the area around the door. The security camera has a wider capture range than the passenger detection camera.

[0004] The elevator control system disclosed in Patent Document 1 creates a composite image by combining footage from a passenger detection camera and footage from a security camera, calculates the passenger occupancy area from the composite image, and determines whether the car is full based on the remaining area obtained by subtracting the passenger occupancy area from the floor area of ​​the car. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 2019-85253 Summary of the Invention [Problem to be solved by the invention]

[0006] However, the elevator control system described in Patent Document 1 does not take into consideration that the image of the door captured by the security camera changes when the door is open and when it is closed. The security camera and passenger detection camera are installed facing the door and capture a part of the elevator floor when the door is closed. Therefore, the elevator control system described in Patent Document 1 may determine that a person on the elevator floor captured when the door is open is a passenger inside the elevator car.

[0007] In consideration of the above problems, an object of the present invention is to provide a passenger detection system, an elevator, and a passenger detection method that can improve the accuracy of detecting people inside an elevator car. [Means for solving the problem]

[0008] To solve the above problems and achieve the object of the present invention, a passenger detection system embodying one aspect of the present invention includes a camera installed in a car and an image analysis unit that detects passengers in the car from an image captured by the camera. The camera captures an image of an image capture area inside the car that includes a car door. The image analysis unit detects passengers in the image capture area when the car door is closed, and detects passengers in a door-open area, which is the image capture area excluding a door area that is at least a part of the area that includes the car door, from the image capture area when the car door is open. In addition, an elevator that reflects one aspect of the present invention includes a car that moves up and down within a hoistway, a camera installed in the car, and the above-mentioned passenger detection system that has an image analysis unit that detects passengers in the car from images captured by the camera.

[0009] In a passenger detection method embodying one aspect of the present invention, a camera installed in a car captures an image of an image capturing area within the car that includes a car door, and an image analysis unit detects passengers within the image capturing area when the car door is closed, and detects passengers within a door-open area that is the image capturing area excluding a door area that is at least a part of the area that includes the car door from the image capturing area when the car door is open. [Effects of the Invention]

[0010] According to the passenger detection system, elevator, and passenger detection method configured as described above, it is possible to improve the accuracy of detecting people inside the elevator car. Problems, configurations, and effects other than those described above will become clear from the following description of the embodiments. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a schematic configuration diagram of an elevator according to a first embodiment. [Figure 2] 1 is a block diagram showing a configuration of a passenger detection system according to a first embodiment. [Figure 3] FIG. 2 is a block diagram showing the functional configuration of a control unit according to the first embodiment. [Figure 4] FIG. 2 is a block diagram showing the functional configuration of an image analysis unit according to the first embodiment. [Figure 5] 1A and 1B are diagrams illustrating a door-open region and a door-closed region according to the first embodiment. [Figure 6] 5 is a flowchart showing a person detection process according to the first embodiment. [Figure 7] 4 is a flowchart showing a car operation process according to the first embodiment. [Figure 8] 10A and 10B are diagrams illustrating a photographing area, a door open area, and a door area according to the second embodiment. [Figure 9] 10 is a flowchart showing a person detection process of an image analysis unit according to the second embodiment. [Figure 10] 5 is a flowchart showing car operation processing by the control unit according to the first embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] 1. First embodiment A passenger detection system, an elevator, and a passenger detection method according to a first embodiment will be described below with reference to Figures 1 to 7. Note that common parts in the figures are given the same reference numerals.

[0013] [Elevator configuration] First, the configuration of the elevator according to the first embodiment will be described with reference to FIG. FIG. 1 is a schematic configuration diagram of an elevator according to a first embodiment.

[0014] As shown in Fig. 1, elevator 1 is installed in a hoistway 110 formed within a building structure. Elevator 1 moves up and down within hoistway 110 and includes a car 120 for carrying passengers and cargo, ropes 130, a counterweight 140, a hoisting machine 100, and a control device 190. A machine room 160 is provided at the top of hoistway 110.

[0015] The hoist 100 is disposed in a machine room 160, and raises and lowers the car 120 by winding a rope 130 around it. A deflection sheave 150 is disposed near the hoist 100. The rope 130 is attached to the deflection sheave 150.

[0016] The car 120 is attached to one axial end of the rope 130. The counterweight 140 is attached to the other axial end of the rope 130. Therefore, the car 120 is connected to the counterweight 140 via the rope 130. When the hoisting machine 100 is driven, the car 120 and the counterweight 140 move up and down.

[0017] The elevator car 120 has a car chamber 121 and a car door 122 (see FIG. 2). The car chamber 121 is formed in a hollow, approximately rectangular parallelepiped shape. One side of the car chamber 121 is formed with an entrance / exit for people and luggage to enter and exit. The car door 122 opens and closes the entrance / exit of the car chamber 121.

[0018] The control device 190 corresponds to the control unit according to the present invention. The control device 190 is installed, for example, in the machine room 160. The control device 190 controls the operation of the elevator 1. For example, the control device 190 controls the driving of the hoisting machine 100, the opening and closing of the car door 122 (see FIG. 2) of the car 120, etc. The elevator 1 also has a passenger detection system that detects passengers in the car 120.

[0019] A hall call button (not shown) is installed at the hall of each floor in the building structure. A passenger who wishes to board the elevator 1 presses the hall call button at the hall. The hall call button transmits call information including the floor number for which the hall call button was pressed to the control device 190. The control device 190 registers the hall call in accordance with the call information. The control device 190 then controls the driving of the hoisting machine 100 to move the car 2 to the registered hall floor.

[0020] [Passenger detection system configuration] Next, the passenger detection system of the elevator 1 will be described with reference to FIG. FIG. 2 is a block diagram showing the configuration of the passenger detection system according to the first embodiment.

[0021] 2, the passenger detection system for elevator 1 is composed of an in-car monitoring camera 125 and an image analysis device 200. The in-car monitoring camera 125 corresponds to the camera according to the present invention, and the image analysis device 200 corresponds to the image resolution unit according to the present invention.

[0022] The car interior monitoring camera 125 is installed inside the car 120. The car interior monitoring camera 125 is located on the side wall opposite the side wall to which the car door 122 is attached. The objective lens of the car interior monitoring camera 125 faces the car door 122. The car interior monitoring camera 125 sends the captured images to the image analysis device 200. Note that the images according to the present invention include video, which is a plurality of images that are taken successively at a constant speed.

[0023] An in-car destination floor registration button 126 is installed inside the car room 121 (car 120). The in-car destination floor registration button 126 is a button that a passenger presses when inputting a destination floor. When the in-car destination floor registration button 126 is pressed, the in-car destination floor registration button 126 transmits the specified destination floor to the control device 190. The control device 190 registers the destination floor according to the specified destination floor. Then, the control device 190 controls the drive of the hoisting machine 100 to move the car 2 to the destination floor.

[0024] The image analysis device 200 is disposed on the outside of the upper part of the car room 121. The image analysis device 200 detects passengers in the car 120 from images captured by the car interior monitoring camera 125. The image analysis device 200 transmits the detection results to the control device 190. The control device 190 controls the raising and lowering operation of the car 120 and the opening and closing operation of the car door 122 according to the detection results of the image analysis device 200.

[0025] [Control device functional configuration] Next, the functional configuration of the control device 190 will be described with reference to FIG. FIG. 3 is a block diagram showing the functional configuration of the control device 190.

[0026] As shown in FIG. 3, the control device 190 has a communication unit 191, an elevator operation control unit 192, a call registration unit 194, a destination floor registration unit 195, an elevation control unit 196, a door opening / closing control unit 197, and a door opening / closing detection unit 198.

[0027] The communication unit 191 receives various types of information sent from the image analysis device 200, the car 120, the hoisting machine 100, etc. Examples of the various types of information include the detection results of the image analysis device 200, car door open / close information, destination floor information, call information, and the rotation speed of the hoisting machine 100. The communication unit 191 sends the received various types of information to the elevator operation control unit 192.

[0028] The elevator operation control unit 192 controls the operation of the elevator 1. The elevator operation control unit 192 performs various calculations to control the overall operation of the elevator 1, including the ascent and descent speed of the car 120 and the opening and closing operation of the car doors. The elevator operation control unit 192 sends the calculation results to the call registration unit 194, the destination floor registration unit 195, the elevation control unit 196, and the door opening and closing control unit 197.

[0029] The call registration unit 194 registers a platform call based on the call information sent from the platform call button. Platform call registration is not limited to being based on pressing a platform call button, but may be based on information sent from an external device such as a mobile terminal carried by a passenger. The call registration unit 194 sends the platform floor registered in the platform call registration to the elevator operation control unit 192.

[0030] The destination floor registration unit 195 registers the destination floor based on information sent from the in-car destination floor registration button 126. Note that the registration of the destination floor is not limited to being based on pressing the in-car destination floor registration button 126, but may also be based on information sent from an external device such as a mobile terminal carried by a passenger. The destination floor registration unit 195 sends the registered destination floor to the elevator operation control unit 192.

[0031] The elevator operation control unit 192 generates a drive command for the hoisting machine 100 in accordance with the registered destination floor and landing floor. Then, the elevator operation control unit 192 sends the drive command for the hoisting machine 100 to the lifting / lowering control unit 196. The lifting / lowering control unit 196 controls the drive of the hoisting machine 100 in accordance with the drive command for the hoisting machine 100 sent from the elevator operation control unit 192. As a result, the car 2 moves to the landing floor or destination floor.

[0032] The door open / close detection unit 198 detects whether the door of the car 2 is fully open or fully closed based on the detection result of an open / close sensor (or open / close switch) provided in the car 2. The door open / close detection unit 198 sends the detection result to the elevator operation control unit 192. The elevator operation control unit 192 generates a drive command for the car door 122 in accordance with the detection result of the door open / close detection unit 198.

[0033] The door opening / closing control unit 197 controls the opening and closing of the car door 122 in response to a drive command for the car door 122 sent from the elevator operation control unit 192. The landing doors on each floor in the building structure open and close in conjunction with the car door 122. The door opening / closing control unit 197 opens the car door 122 of the car 120 that has arrived at the landing floor, the destination floor, or both. The door opening / closing control unit 197 closes the car door 122 when a predetermined time has elapsed since the car door 122 was opened.

[0034] [Functional configuration of image analysis device] Next, the functional configuration of the image analyzing device 200 will be described with reference to FIG. FIG. 4 is a block diagram showing the functional configuration of the image analyzing device 200.

[0035] 4, the image analyzing device 200 includes an image acquiring unit 201, a door signal acquiring unit 202, a detection result responding unit 203, and a person detecting unit 204. The image analyzing device 200 further includes a person detection model storing unit 205, a door open detection area coordinate storing unit 206, and a door closed detection area coordinate storing unit 207.

[0036] The image acquisition unit 201 acquires an image (video) captured by the car interior monitoring camera 125. The image acquisition unit 201 sends the acquired image to the person detection unit 204. The door signal acquisition unit 202 acquires a door signal sent by the control device 190. The door signal is a signal that indicates whether the car door 122 is open or closed. The door signal acquisition unit 202 sends the acquired door signal to the person detection unit 204. The detection result response unit 203 sends the detection result of the person detection unit 204 to the control device 190.

[0037] A person detection model and parameter values ​​(configuration) used for the person detection model are stored in the person detection model storage unit 205. A person detection model is a machine learning model that detects a person appearing in a specific area of ​​an image, video, or the like.

[0038] The door open detection area coordinate storage unit 206 stores the coordinates of an area in which a person is detected when the car door 122 is open. Hereinafter, the area in which a person is detected when the car door 122 is open will be referred to as the door open area. The door closed detection area coordinate storage unit 207 stores the coordinates of an area in which a person is detected when the car door 122 is closed. Hereinafter, the area in which a person is detected when the car door 122 is closed will be referred to as the door closed area.

[0039] The person detection unit 204 determines whether the door is open or closed based on the door signal. The person detection unit 204 determines whether the door is open or closed depending on whether the door is open or closed. The person detection unit 204 detects a person in the door open area or the door closed area in the image captured by the car interior monitoring camera 125 using the person detection model and parameter values. Then, the person detection unit 204 sends the detection result to the detection result response unit 203.

[0040] [Door open area and door closed area] Next, the door open region and the door closed region will be described with reference to FIG. Fig. 5A is a diagram illustrating the door-open region, and Fig. 5B is a diagram illustrating the door-closed region.

[0041] 5A, the door-open region 31 is a region obtained by excluding a region including at least a portion of the car door 122 (hereinafter referred to as the "door region") from the imaging region of the car interior monitoring camera 125. Note that the door region according to the present invention may be set to a region including the entire car door 122. Furthermore, the imaging region of the car interior monitoring camera 125 is the entire region that can be imaged by the car interior monitoring camera 125.

[0042] When the car door 122 is open, the landing is imaged in the door area, so there is a possibility that a person at the landing may be detected. Therefore, when the car door 122 is open, people are detected in the door open area 31, which is the image capture area of ​​the car interior monitoring camera 125 excluding the door area, so that people who are not passengers inside the car 120 are not detected. This makes it possible to improve the accuracy of person detection inside the car 120.

[0043] 5B, the door-closed region 32 is the same as the imaging region of the interior monitoring camera 125. When the car door 122 is closed, the car door 122 is imaged in the door region, and therefore a person at the landing is not detected. Therefore, when the car door 122 is closed, the interior monitoring camera 125 detects a person in the door-closed region 32, which is the entire region that can be imaged.

[0044] [Person detection processing] Next, the person detection process performed by the image analyzing device 200 will be described with reference to FIG. FIG. 6 is a flowchart showing the person detection process performed by the image analyzing device 200.

[0045] First, the image analyzing device 200 checks whether the car door 122 is open or closed based on the door signal sent from the control device 190 (S1). Next, the image analyzing device 200 determines whether the car door 122 is open or not (S2).

[0046] In step S2, when it is determined that the car door 122 is open (if S2 is determined as YES), the image analyzing device 200 performs person detection when the door is open (S3). In step S3, the image analyzing device 200 detects a person in the door-open region 31.

[0047] Next, the image analyzing device 200 determines whether or not a person is present in the door-opening region 31 (S4). In step S4, when it is determined that a person is present in the door-opening region 31 (YES determination in S4), the image analyzing device 200 ends the person detection process.

[0048] In step S4, when it is determined that there is no person in the door-open region 31 (if S4 is determined as NO), the image analyzing device 200 notifies the control device 190 that the car 120 is unoccupied (S5). After processing in step S5, the image analyzing device 200 ends the person detection process.

[0049] On the other hand, when it is determined in step S2 that the car door 122 is not open (the door is closed) (if S2 is determined as NO), the image analyzing device 200 performs person detection when the door is closed (S6). In step S6, the image analyzing device 200 detects a person in the door closed area 32.

[0050] Next, the image analyzing device 200 determines whether the number of people in the door-closed region 32 is equal to or greater than a threshold value (S7). In step S7, when it is determined that the number of people in the door-closed region 32 is not equal to or greater than the threshold value (NO in S7), the image analyzing device 200 ends the person detection process.

[0051] In step S7, when it is determined that the number of people in the door-closed region 32 is equal to or greater than the threshold value (YES in S7), the image analyzing device 200 notifies the control device 190 that the car 120 is full (S8). After processing in step S8, the image analyzing device 200 ends the person detection process.

[0052] In this embodiment, when the car door 122 is opened, it is determined whether or not the car 120 is unoccupied. This makes it possible to determine whether or not the car 120 is unoccupied when passengers are getting on or off. As a result, it is possible to quickly detect that the car 120 has become unoccupied. Furthermore, the control device 190 can change the timing of closing the car door 122 depending on whether or not the car 120 is unoccupied.

[0053] In this embodiment, when the car door 122 is closed, it is determined whether the car 120 is full. This makes it possible to determine whether the car 120 is full when no passengers are getting on or off, thereby improving the accuracy of determining whether the car 120 is full. Furthermore, the control device 190 can change the floor at which the car 120 stops depending on whether the car 120 is full.

[0054] [Car operation processing] Next, the car operation processing performed by the control device 190 will be described with reference to FIG. FIG. 7 is a flowchart showing the car operation process performed by the control device 190.

[0055] First, the control device 190 checks the open / closed state of the car door 122 based on the detection result of the door open / close detection unit 198 (S11). Next, the control device 190 determines whether the car door 122 is open or not (S12).

[0056] In step S12, when it is determined that the car door 122 is open (if S12 is determined as YES), the control device 190 determines whether or not the car 120 is unoccupied based on the detection result of the image analysis device 200 (S13).

[0057] When it is determined in step S13 that the car 120 is unoccupied (when S13 is determined as YES), the control device 190 closes the car door 122 (S14). Normally, the control device 190 closes the car door 122 after a timer expires. The timer is set to a predetermined time. However, when the car 120 is unoccupied, the control device 190 closes the car door 122 at an earlier timing than usual without waiting for the timer to expire. After processing step S14, the control device 190 terminates the car operation processing.

[0058] In step S13, when it is determined that the car 120 is not unoccupied (when S13 is determined as NO), the control device 190 closes the car door 122 after the timer expires (S15). A predetermined time is set in the timer. Therefore, when the predetermined time has elapsed since the car door 122 was opened, the control device 190 closes the car door 122. After processing step S15, the control device 190 ends the car operation processing.

[0059] On the other hand, when it is determined in step S12 that the car door 122 is not open (the door is closed) (if S12 is determined as NO), the control device 190 determines whether the car 120 is full or not based on the detection result of the image analysis device 200 (S16).

[0060] In step S16, when it is determined that the car 120 is full (when S16 is determined as YES), the control device 190 determines to have the car 120 pass through the call-registered landing floors on the way to the next destination floor (S17). After processing step S17, the control device 190 ends the car operation processing.

[0061] In step S16, when it is determined that the car 120 is not full (when S16 is determined as NO), the control device 190 stops the car 120 at the boarding floor corresponding to the call registration (S18). That is, the control device 190 determines to stop the car 120 at a call-registered boarding floor that is on the way to the next destination floor. After processing step S18, the control device 190 ends the car operation processing.

[0062] In this embodiment, if the car 120 is unoccupied when the door is opened, the car door 122 is closed earlier than usual. This reduces unnecessary waiting time and allows the car 120 to quickly move to the floor corresponding to the next destination floor registration or call registration. Furthermore, if there is a passenger getting off the car 120, the car door 122 is not closed earlier than usual by mistake.

[0063] 2. Second embodiment Next, a passenger detection system, an elevator, and a passenger detection method according to a second embodiment will be described with reference to Figures 8 to 10. Note that common parts in each figure are given the same reference numerals.

[0064] The passenger detection system according to the second embodiment differs from the passenger detection system according to the first embodiment in the area for detecting a person when the car door 122 is open, the person detection process, and the car operation process. Therefore, here, the detection area when the door is open, the person detection process, and the car operation process according to the second embodiment will be described, and a description of the configuration that overlaps with the first embodiment will be omitted.

[0065] [Door open area, door area, and door closed area] First, the door open region, the door region, and the door closed region according to the second embodiment will be described with reference to FIG. Fig. 8A is a diagram illustrating the door open region and the door region, and Fig. 8B is a diagram illustrating the door closed region.

[0066] 8A, the door-open region 31 is the region obtained by excluding the door region 33 from the imaging region of the car interior monitoring camera 125. In other words, the imaging region of the car interior monitoring camera 125 is made up of the door-open region 31 and the door region 33.

[0067] When the car door 122 is open, the image analysis device 200 performs person detection for each of the door open region 31 and the door region 33. As a result, the image analysis device 200 detects people (passengers) inside the car 120 and people at the landing. People at the landing may be about to board the car 120. Therefore, by performing person detection for the door region 33 separately from the door open region 31, it is possible to detect passengers who may be about to board the car 120.

[0068] 8B is the same as the imaging area of ​​the car interior monitoring camera 125, as in the first embodiment. When the car door 122 is closed, the image analyzing device 200 detects a person in the door closed area 32.

[0069] [Person detection processing] Next, the person detection process performed by the image analyzing device 200 according to the second embodiment will be described with reference to FIG. FIG. 9 is a flowchart showing the person detection process performed by the image analyzing device 200 according to the second embodiment.

[0070] First, the image analyzing device 200 checks the open / closed state of the car door 122 based on the door signal sent from the control device 190 (S21). Next, the image analyzing device 200 determines whether the car door 122 is open or not (S22).

[0071] In step S22, when it is determined that the car door 122 is open (if S22 is determined as YES), the image analyzing device 200 performs person detection when the door is open (S23). In step S23, the image analyzing device 200 detects a person in the door open area 31 and also detects a person in the door area 33.

[0072] Next, the image analyzing device 200 determines whether or not a person is present in the door area 33 (S24). When it is determined in step S24 that a person is present in the door area 33 (if the determination in S24 is YES), the image analyzing device 200 notifies the control device 190 that there is a passenger who is scheduled to board the elevator car 120 (S25). After processing step S25, the image analyzing device 200 ends the person detection process.

[0073] In step S24, when it is determined that there is no person in the door area 33 (when S24 is a NO determination), the image analyzing device 200 determines whether or not there is a person in the door-open area 31 (S26). In step S26, when it is determined that there is a person in the door-open area 31 (when S26 is a YES determination), the image analyzing device 200 ends the person detection process.

[0074] In step S26, when it is determined that there is no person in the door-open region 31 (if S26 is determined to be NO), the image analyzing device 200 notifies the control device 190 that the car 120 is unoccupied (S27). After processing in step S27, the image analyzing device 200 ends the person detection process.

[0075] On the other hand, when it is determined in step S22 that the car door 122 is not open (the door is closed) (if S22 is determined to be NO), the image analyzing device 200 performs person detection when the door is closed (S28). In step S28, the image analyzing device 200 detects a person in the door closed area 32.

[0076] Next, the image analyzing device 200 determines whether the number of people in the door-closed region 32 is equal to or greater than a threshold value (S29). When it is determined in step S29 that the number of people in the door-closed region 32 is not equal to or greater than the threshold value (NO in S29), the image analyzing device 200 ends the person detection process.

[0077] In step S29, when it is determined that the number of people in the door-closed region 32 is equal to or greater than the threshold value (YES in S29), the image analyzing device 200 notifies the control device 190 that the car 120 is full (S30). After processing in step S30, the image analyzing device 200 ends the person detection process.

[0078] [Car operation processing] Next, the car operation processing performed by the control device 190 according to the second embodiment will be described with reference to FIG. FIG. 10 is a flowchart showing the car operation process performed by the control device 190 according to the second embodiment.

[0079] First, the control device 190 checks the open / closed state of the car door 122 based on the detection result of the door open / close detection unit 198 (S41). Next, the control device 190 determines whether the car door 122 is open or not (S42).

[0080] In step S42, when it is determined that the car door 122 is open (if S42 is determined as YES), the control device 190 determines whether or not there is a passenger scheduled to board the car 120 based on the detection result of the image analysis device 200 (S43).

[0081] In step S43, when it is determined that there is a passenger who is scheduled to board the car 120 (if S42 is determined to be YES), the control device 190 extends the door open time of the car door 122 (S44). After processing in step S44, the control device 190 ends the car operation processing.

[0082] Typically, the control device 190 closes the car door 122 after a timer set to a predetermined time has expired. For example, in step S44, the control device 190 operates an extension timer set to a specific time after the timer has expired. Then, the control device 190 closes the car door 122 after the extension timer has expired. The specific time may be a preset value, or may be determined according to the number of people present within the door area 33. Alternatively, the door open time may be extended using other methods.

[0083] In step S43, when it is determined that there are no passengers scheduled to board the elevator 120 (if S42 is determined as NO), the control device 190 determines whether the elevator 120 is empty or not based on the detection result of the image analysis device 200 (S45).

[0084] In step S45, when it is determined that the car 120 is unoccupied (when S45 is determined as YES), the control device 190 closes the car door 122 (S46). In other words, when the car 120 is unoccupied, the car door 122 is closed at an earlier timing than usual without waiting for the timer to expire. After processing step S46, the control device 190 ends the car operation processing.

[0085] In step S45, when it is determined that the car 120 is not unoccupied (when S45 is determined as NO), the control device 190 closes the car door 122 after the timer expires (S47). That is, when a predetermined time has elapsed since the car door 122 was opened, the control device 190 closes the car door 122. After processing step S47, the control device 190 ends the car operation processing.

[0086] On the other hand, when it is determined in step S42 that the car door 122 is not open (the door is closed) (if S42 is determined as NO), the control device 190 determines whether the car 120 is full or not based on the detection result of the image analysis device 200 (S48).

[0087] In step S48, when it is determined that the car 120 is full (when S48 is determined as YES), the control device 190 determines to have the car 120 pass through the call-registered landing floors on the way to the next destination floor (S49). After processing step S49, the control device 190 ends the car operation processing.

[0088] In step S48, when it is determined that the car 120 is not full (when S48 is determined as NO), the control device 190 stops the car 120 at the boarding floor corresponding to the call registration (S50). That is, the control device 190 determines to stop the car 120 at a call-registered boarding floor on the way to the next destination floor. After processing step S50, the control device 190 ends the car operation processing.

[0089] In this embodiment, when the door is opened, if there are no passengers scheduled to board the car 120 and the car 120 is unoccupied, the car door 122 is closed earlier than usual. This reduces unnecessary waiting time and allows the car 120 to quickly move to the floor corresponding to the next destination floor registration or call registration. Furthermore, if there are passengers getting on or off the car 120, the car door 122 is not closed earlier than usual.

[0090] The above describes embodiments of the passenger detection system, elevator, and passenger detection method, including their effects. However, the passenger detection system, elevator, and passenger detection method of the present invention are not limited to the above-described embodiments, and various modifications are possible within the scope of the invention as defined in the claims. Furthermore, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those having all of the described configurations.

[0091] In the above-described embodiment, the control device 190 and the image analysis device 200 are provided separately. However, the control unit and the image analysis unit according to the present invention may be configured to be included in a single control device.

[0092] In addition, in the present invention, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment.In addition, it is possible to add, delete, or replace part of the configuration of each embodiment with another configuration. [Explanation of symbols]

[0093] 1...Elevator, 31...Door open area, 32...Door closed area, 33...Door area, 100...Hoistway, 110...Hoistway, 121...Cab, 122...Cab door, 125 Internal surveillance camera, 126...Internal destination floor registration button, 130...Rope, 140...Counterweight, 150...Bearing wheel, 160...Machine room, 190...Control device (control unit), 200...Image analysis device (image analysis unit), 201...Image acquisition unit, 202...Door signal acquisition unit, 203...Detection result response unit, 204...Person detection unit, 205...Person detection model storage unit, 206...Door open detection area coordinate storage unit, 207...Door closed detection area coordinate storage unit

Claims

1. A passenger detection system comprising a camera installed in a car and an image analysis unit that detects passengers in the car from an image captured by the camera, the camera captures an image of an imaging area including a car door in the car, The image analysis unit detects passengers within the image capture area when the car door is closed, and detects passengers within a door-open area, which is the image capture area excluding a door area that is at least a part of an area that includes the car door, when the car door is opened. Passenger detection system.

2. The image analysis unit detects a person in the door area when the door is opened as a person getting on the car. The occupant detection system of claim 1 .

3. The image analysis unit determines that the elevator car is full if the number of passengers in the image capture area is equal to or greater than a threshold value when the door is closed. The occupant detection system of claim 1 .

4. The image analysis unit determines that the elevator car is unoccupied if there is no passenger in the door opening area when the door is opened. The occupant detection system of claim 1 .

5. An elevator comprising: a car that moves up and down in a hoistway; a camera installed in the car; and a passenger detection system that includes an image analysis unit that detects passengers in the car from images captured by the camera, the camera captures an image of an imaging area including a car door in the car, The image analysis unit detects passengers within the image capture area when the car door is closed, and detects passengers within a door-open area, which is the image capture area excluding a door area that is at least a part of an area that includes the car door, when the car door is opened. Elevator.

6. A camera installed in a car captures an image of an imaging area including a car door in the car, An image analysis unit detects passengers within the image capture area when the car door is closed, and detects passengers within a door-open area, which is the image capture area excluding a door area that is at least a part of an area including the car door, when the car door is opened. Passenger detection method.

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