JP2016115054A - Monitoring control program, monitoring controller, and monitoring control method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a monitoring control program capable of reducing the power consumption by a sensor unit which is put on a person to be monitored.SOLUTION: The monitoring control program causes a controller to execute a processing to determine whether or not a person to be monitored is included in an acquired pick-up range of image, and depending on determination result whether or not the person to be monitored is included in the image pick-up range, to control a power source of a sensor unit which is put on the person to be monitored to turn ON/OFF.SELECTED DRAWING: Figure 1

Description

  The present specification relates to a monitoring control program, a monitoring control apparatus, and a monitoring control method.

  In hospitals and the like used by many people, for example, when an inpatient or an elderly person falls or falls, there is a problem that the fall or fall is not noticed. Therefore, various systems aimed at monitoring the behavior of patients in hospitals have been proposed. One method is to install a camera in a hospital room (near the patient's bed). Using a camera has the advantage that doctors and nurses do not have to wait in the hospital room all the time. However, the camera cannot be installed in a toilet or the like and can only be monitored within a limited range.

  Therefore, there is a technique for monitoring a patient's state and the like by causing the patient to carry a detection terminal that detects a state such as whether or not an abnormality has occurred in the patient (for example, Patent Document 1). As a first technique, there is a fall management server for detecting or predicting the fall of a care recipient. The fall management server includes receiving means, identification means, and fall management means. The receiving means receives ID information transmitted from footwear provided with a detection sensor that detects the walking state of the care recipient and the RFID tag via the RFID base station. The identification means identifies that the pair of footwear is used by a care recipient based on the received ID information. The fall management means detects or predicts the fall of the cared person based on the ID information of the pair of footwear of the cared person identified by the identifying means.

  As a second technique, there is a patient abnormality notification system that detects that a patient has fallen or falls from a bed and can notify a nurse or the like of the abnormality (for example, Patent Document 2). The patient abnormality notification system includes a portable transmitter attached to each patient, receivers installed at a plurality of locations in the ward, and a centralized monitoring device installed at a nurse center on each floor. The portable transmitter detects the acceleration acting on the patient, the patient's pulse wave, pulse, heart rate, electrocardiogram, blood pressure, and blood oxygen saturation, and detects the patient's abnormality based on these, and the abnormality detection signal Is transmitted wirelessly. The receiver that has received the signal images the room with the camera and transmits an abnormality notification signal to the centralized monitoring device. The centralized monitoring apparatus that has received the signal displays an abnormality notification screen.

JP 2006-228024 A JP 2008-47097 A

  Since the detection terminal as described above is activated for 24 hours, the power consumption increases, the battery must be replaced frequently, and the burden on the nurse also increases. Further, if it is attempted to reduce battery replacement, it is necessary to provide a battery with a large capacity, which increases the burden on the patient who wears the battery. Therefore, in order to reduce battery replacement and make the battery as small as possible, power saving of the detection terminal is required.

  An object of one aspect of the present invention is to save power in a sensor device worn by a monitoring subject.

  A monitoring control program according to an aspect of the present invention causes a control device to execute the following processing. That is, the control device determines whether or not the monitoring target person is included in the imaging range of the acquired captured image. The control device controls the power on or off of the sensor device attached to the monitoring target person according to the determination result of whether or not the monitoring target person is included in the imaging range.

  In one aspect of the present invention, it is possible to save power in a sensor device worn by a monitoring subject.

An example of the monitoring control apparatus in this embodiment is shown. The whole structure of the patient abnormality detection system in this embodiment is shown. It is a figure for demonstrating the patient abnormality detection system in this embodiment. The hardware block diagram of the patient abnormality detection system in this embodiment is shown. An example of the ID correlation table in this embodiment is shown. The functional block diagram of the patient abnormality detection system in this embodiment is shown. The flow of the head recognition process by the camera in this embodiment is shown. FIG. 6 shows a sequence diagram when the patient is no longer captured by the camera and the acceleration sensor is turned on in the present embodiment. The sequence diagram in the case where the patient is photographed in the camera and the power of the acceleration sensor is turned off in the present embodiment is shown. The example of a display of the monitor projected on PC of the nurse center in this embodiment is shown.

  FIG. 1 shows an example of a monitoring control apparatus according to the present embodiment. The monitoring control device 1 includes a determination unit 2 and a control unit 3. An example of the monitoring control device 1 is a camera 12.

  The determination unit 2 determines whether or not the monitoring target person is included in the imaging range of the acquired captured image. An example of the determination unit 2 is an image processing unit 52.

  The control unit 3 controls the power on or off of the sensor device 4 attached to the monitoring target person according to the determination result of whether or not the monitoring target person is included in the imaging range. More specifically, when it is determined that the monitoring target person is included in the imaging range, the control unit 3 turns off the power of the sensor device 4 and when it is determined that the monitoring target person is not included in the imaging range. Then, the sensor device 4 is controlled to be turned on. An example of the control unit 3 is a remote power supply control unit 54. An example of the sensor device 4 is a detection terminal, more specifically, an acceleration sensor 34.

  By comprising in this way, the power saving of the detection terminal with which the monitoring subject wears can be achieved.

  FIG. 2 shows the overall configuration of the patient abnormality detection system in the present embodiment. The patient abnormality detection system 11 includes a camera 12, a detection terminal 13, an access point (AP) 14, and a computer (PC) 15. The camera 12, the AP 14, and the PC 15 are communicably connected via a network such as a wired local area network (LAN). The detection terminal 13 can communicate with the PC 15 wirelessly through a connection with the AP 14.

  The camera 12 captures the subject and transmits the captured video data to the PC 15 at the nurse center. Further, the camera 12 includes a human recognition function for recognizing and detecting a target patient from captured video data using an image processing technique.

  The detection terminal 13 detects the fall or fall of the patient carrying the detection terminal 13 and transmits the detection information to the PC 15 of the nurse center. The detection terminal 13 includes an acceleration sensor for detecting a fall or fall of a patient carrying the detection terminal 13.

  The AP 14 is a base station that relays wired communication and wireless communication, and is installed in a hospital, for example, a hospital room where a patient is hospitalized. Here, the AP 14 relays communication among the camera 12, the detection terminal 13, and the PC 15. The PC 15 is installed in the nurse center and displays video information transmitted from the camera 12 and detection information detected from the detection terminal 13.

  FIG. 3 is a diagram for explaining the patient abnormality detection system in the present embodiment. The patient 17 is wearing the detection terminal 13. A camera 12 is installed near the bed 16 so that the patient 17 on the bed 16 can be photographed.

  In the present embodiment, when the camera 12 detects the patient 17, instruction information (OFF instruction information) for instructing to turn off the power of the acceleration sensor is transmitted to the detection terminal 13 via the AP 14. When receiving the OFF instruction information, the detection terminal 13 turns off the power of the acceleration sensor.

  On the other hand, when the camera 12 cannot detect the patient 17, instruction information (ON instruction information) for instructing to turn on the power of the acceleration sensor is transmitted to the detection terminal 13 via the AP 14. Upon receiving the ON instruction information, the detection terminal 13 turns on the power source of the acceleration sensor.

  Here, conditions for determining human recognition by the camera 12 will be described. As a premise, since a patient other than the target patient does not lie down on the bed of the target patient, a camera 12 is installed on each bed 16 and the video range determined by the camera 12 is one target bed.

  Thereby, when the patient 17 is not reflected in the camera 12, the acceleration sensor is turned on. When the patient 17 is reflected in the camera 12, the acceleration sensor is turned off. Thereby, power saving of the detection terminal 13 can be achieved.

  FIG. 4 is a hardware configuration diagram of the patient abnormality detection system in the present embodiment. The camera 12 includes an imaging unit 21, an image processing unit 22, a control unit 23, and a communication interface (I / F) 24.

  The imaging unit 21 includes, for example, a CCD (Charge Coupled Devices), a correlated double sampling circuit (CDS), a gain control amplifier circuit (AGC), an analog-digital converter (ADC), and the like. The CCD converts light incident through the lens into an electrical signal. CDS removes noise from electrical signals. AGC is a gain control amplifier circuit. The ADC converts an analog signal into a digital signal.

  The image processing circuit 22 performs image processing, such as noise reduction processing, sensitivity enhancement processing, and human detection processing for detecting a target patient, on digitalized imaging data. At this time, the image processing circuit 22 generates human detection notification information indicating whether or not a person has been detected in accordance with the result of the image processing.

  The control unit 23 includes a central processing unit (CPU) and a memory (including a data memory and a program memory). The CPU of the control unit 23 controls the entire camera. Further, the CPU of the control unit 23 functions as a remote power control unit by executing a program according to the present embodiment. The remote power control unit generates ON / OFF information for remotely turning on or off the power of the acceleration sensor in the detection terminal 13. Hereinafter, ON or OFF is expressed as ON / OFF. The memory stores, for example, a program according to the present embodiment, a camera ID for identifying the camera, predetermined pattern information used for human recognition processing, and the like.

  The communication I / F 24 is a communication interface for communicating with the detection terminal 13 via the AP 14 or communicating with the PC 15 in a wired manner.

  The detection terminal 13 includes a communication I / F 31, a control unit 32, a power management unit 33, and an acceleration sensor 34. The wireless communication I / F 31 is a communication interface for wirelessly communicating with the camera 12 or the PC 15 via the AP 14. For example, the communication I / F 31 receives ON / OFF instruction information for turning ON / OFF the power supply of the acceleration sensor 34 from the camera 12.

  The control unit 32 includes a central processing unit (CPU) and a memory (including a data memory and a program memory). The CPU of the control unit 32 controls the entire detection terminal 13. The CPU of the control unit 32 functions as a power processing unit that turns on / off the power of the acceleration sensor 34 based on the received ON / OFF instruction information by executing the program according to the present embodiment. In the memory, for example, the program according to the present embodiment, the terminal ID for identifying the detection terminal 13, and the data obtained from the acceleration sensor 34 are used to determine whether the patient has fallen or fallen. The information used as a reference for the above is stored.

  The power management unit 33 manages the supply of power to the electronic components in the detection terminal 13. For example, the power management unit 33 controls the supply of power to the acceleration sensor 34 based on the ON / OFF instruction information output from the control unit 32.

  The acceleration sensor 34 detects the acceleration applied to the patient 17 carrying the detection terminal 13 and detects the fall and fall of the patient 17. Data (sensing data) obtained by the acceleration sensor 34 is sent to the control unit 32.

  The control unit 32 analyzes the sensing data obtained by the acceleration sensor 34. As a result of analysis, when the fall or fall of the patient 17 is detected, the control unit 32 notifies the PC 15 of the nurse center that the fall or fall of the patient 17 has been detected via the wireless communication I / F 31 and the AP 14. To do.

  The PC 15 installed in the nurse center includes a control unit 41, a storage device 42, and a communication I / F 43. The control unit 41 is a processor such as a central processing unit (CPU) that controls the entire PC 15, for example. The storage device 42 is a storage device such as a memory, a hard disk drive (HDD), or an SSD (solid state drive).

  Here, a camera ID for identifying each camera 12 is assigned to the camera 12. A terminal ID for identifying each detection terminal 13 is assigned to the detection terminal 13. The storage device 42 stores an ID association table 71. The ID association table 71 is a table in which camera IDs, terminal IDs, and other IDs are associated with each other. The ID association table 71 will be described with reference to FIG.

  The communication I / F 43 is a communication interface for communicating with the detection terminal 13 or communicating with the camera 12 via the AP 14.

  In this embodiment, since a monitoring system using a camera having a human detection function is used, a camera having a communication function and a human discrimination function is used. However, the present invention is not limited to this. For example, the camera may have a communication function, and an image captured by the camera may be transmitted to a computer in a separate housing, and the computer may perform human recognition processing.

  The programs executed by the control units 23, 32, and 41 may be acquired via a communication network such as the Internet, or read a computer-readable portable recording medium such as a portable memory or a CD-ROM. May be obtained.

  FIG. 5 shows an example of an ID association table in the present embodiment. The ID association table 71 includes “camera ID” 71-1, “camera IP address” 71-2, “terminal ID” 71-3, “terminal IP address” 71-4, and “bed No.” 71-. 5. The data item of “patient ID” 71-6 is included.

  “Camera ID” 71-1 stores the camera ID. The “camera IP address” 71-2 stores the IP (Internet Protocol) address of the camera 12. The “terminal ID” 71-3 stores the terminal ID. The “terminal IP address” 73-4 stores the IP address of the detection terminal 13. “Bed No.” 71-5 includes a bed No. for identifying a bed of a patient to be monitored by the camera 12. Is stored. The “patient ID” 71-6 stores a patient ID for identifying a patient to be monitored by the camera 12.

  FIG. 6 is a functional block diagram of the patient abnormality detection system in the present embodiment. The PC 15 is connected to the monitor unit 72. The PC 15 includes a communication unit 70 and an ID association table 71. The communication unit 70 corresponds to the control unit 41 and the communication I / F 43 in FIG. The ID association table 71 is stored in the storage device 42.

  The camera 12 includes an imaging unit 51, an image processing unit 52, a signal processing unit 53, a remote power control unit 54, and a communication unit 55. The imaging unit 51 corresponds to the imaging unit 21 in FIG.

  The image processing unit 52 corresponds to the image processing circuit 22 in FIG. The image processing unit 52 determines whether or not the patient 17 is captured from the video data using the human recognition process of the image processing technology. When the image processing unit 52 determines that the patient 17 is captured by the camera 12, the image processing unit 52 sends information (person detection notification) for notifying that the person has been detected to the remote power control unit 54. On the other hand, when the image processing unit 52 determines that the patient 17 is not captured by the camera 12, the image processing unit 52 sends information (person non-detection notification) for notifying that the person is not detected to the remote power control unit 54.

  The signal processing unit 53 corresponds to the control unit 23 in FIG. The signal processing unit 53 associates the camera ID stored in the memory with the video data output from the image processing unit 52, and sends it to the communication unit 55.

  The remote power control unit 54 corresponds to the control unit 23 in FIG. When receiving the human detection notification from the image processing unit 54, the remote power control unit 54 sends instruction information (OFF instruction information) to the communication unit 28 to turn off the acceleration sensor 34 of the detection terminal 13. On the other hand, when the remote power supply control unit 54 receives the person non-detection notification from the image processing unit 54, the remote power supply control unit 54 instructs the communication unit 28 to turn on the acceleration sensor 34 of the detection terminal 13 (ON instruction information). )

  The communication unit 55 corresponds to the control unit 23 and the communication I / F 24 of FIG. The communication unit 55 transmits video data to the PC 15 together with the camera ID. When the communication unit 55 transmits the camera ID to the PC 15, the communication unit 70 of the PC 15 returns a terminal ID and a terminal IP address corresponding to the camera ID from the ID association table 71 to the camera 12. Thereby, the camera 12 acquires the terminal ID and terminal IP address of the detection terminal carried by the patient to be monitored.

  When the communication unit 55 receives the ON / OFF instruction information from the remote power control unit 54, the communication unit 55 transmits the ON / OFF instruction information to the detection terminal 13 using the previously acquired terminal IP address. The ON / OFF instruction information is transmitted to the detection terminal 13 corresponding to the terminal IP address via the AP 14.

  In the present embodiment, the human recognition process is performed using the image processing circuit 22, but the present invention is not limited to this. For example, the human recognition process by the image processing circuit 22 may be executed by the control unit 23 using a program. In this case, the monitoring control program according to the present embodiment may cause the control device as the control unit 23 to execute the following process. That is, the control device determines whether or not the monitoring target person is included in the imaging range of the captured image acquired using the imaging device. The control device controls the power on or off of the sensor device attached to the monitoring target person according to the determination result of whether or not the monitoring target person is included in the imaging range.

  The detection terminal 13 includes a communication unit 61, a control unit 32, a power management unit 33, and an acceleration sensor 34. When receiving the ON / OFF instruction information from the camera 12, the communication unit 61 sends it to the power processing unit 62.

  The control unit 32 includes a power processing unit 62 and a data processing unit 63. The power processing unit 62 gives an instruction to the power management unit 33 for processing related to power. For example, when receiving the ON / OFF instruction information from the communication unit 61, the power processing unit 62 sends an ON / OFF instruction signal to the power management unit 33.

  When the power management unit 33 receives the ON / OFF instruction signal, the power management unit 33 sends an ON / OFF instruction signal for turning on / off the power supply unit 64 of the acceleration sensor 34 based on the received ON / OFF instruction signal. Output to.

  The acceleration sensor 34 includes a power supply unit 64 and a measurement unit 65. The power supply unit 64 controls the supply of power to the measurement unit 65 based on the ON / OFF instruction signal from the power management unit 33. In the present embodiment, an acceleration sensor is used as an example of a sensor that detects the state of a patient falling or falling, but the present invention is not limited to this. For example, a patient's state of falling or falling may be detected using a sensor that detects the state of body temperature, pulse, breathing, or the like.

  When power is supplied from the power supply unit 64, the measurement unit 65 measures the acceleration applied to itself. Moreover, the measurement part 65 stops the measurement process of the acceleration concerning itself, when the electric power is not supplied from the power supply part 64. FIG.

  The data processing unit 63 analyzes the sensing data from the measurement unit 65 and detects the fall / fall of the patient 17 carrying the detection terminal 13. Here, the data processing unit 63 converts the sensing data from the measurement unit 65 into an acceleration waveform, and the acceleration waveform and a predetermined pattern (for example, when walking or sitting, etc.) stored in advance in the memory. The acceleration waveform pattern) is compared. If the acceleration waveform is significantly different from the predetermined pattern, the data processing unit 63 determines that the patient 17 has fallen or dropped, and transmits notification information for notifying the communication unit 61 of an abnormality in the patient's condition.

  Here, when the power supply unit 64 of the acceleration sensor 34 is turned off, the measurement unit 65 stops, sensing data is not acquired, and communication with the PC 15 is also interrupted. When the acceleration sensor 34 is turned on, the measurement result of the measuring unit 65 is sent to the data processing unit 63, and when an abnormality in acceleration is detected, a notification notifying the PC 15 of the abnormality is transmitted.

  When the data processing unit 63 determines that the patient 17 has fallen or fallen, the communication unit 61 associates the sensing data with the terminal ID of the detection terminal and transmits the data to the PC 15 via the AP 14.

  FIG. 7 shows a flow of head recognition processing by the camera in this embodiment. The imaging unit 51 captures a subject and sends the captured video data to the image processing unit 52 (S1). The image processing unit 52 performs head recognition processing on the video data sent from the imaging unit 51 (S2).

  Here, the head recognition process will be described. First, categorize the patient's condition on the bed into five (being in bed, getting up, sitting, sitting on the edge, standing beside the bed), and setting the position where the head appears for each condition in advance. Data (head pattern information) limited to how the head is visible is created and stored in the memory of the camera 12. The image processing unit 52 detects the head from the video data based on the head pattern information. At that time, the image processing unit 52 may erroneously recognize a pillow or a futon. In this case, since the image processing unit 52 always moves when the patient gets up and leaves the floor, the image processing unit 52 sets a plurality of regions that may have a head in the image as head candidates. If there is no movement, “head candidate” is set, and observation of all head candidates is continued. Further, the image processing unit 52 can determine the head from the magnitude and number of movements of the patient calculated from the image, such as turning over.

  When the head is recognized by the head recognition process (Yes in S3), the image processing unit 52 notifies the remote power supply control unit 54 that a person has been detected (person detection notification) (S4). Thereafter, the image processing unit 52 performs head recognition processing on the video data sequentially sent from the imaging unit 51 (S2).

  If the head is not recognized by the head recognition process (No in S3), the image processing unit 52 notifies the remote power supply control unit 54 that a person has not been detected (not-detected person detection) (S5). . Thereafter, the image processing unit 52 performs head recognition processing on the video data sequentially sent from the imaging unit 51 (S2).

  FIG. 8 is a sequence diagram in the present embodiment when the patient is no longer captured by the camera and the acceleration sensor is turned on. Here, it is assumed that the camera has already acquired the terminal ID and the terminal IP address of the corresponding detection terminal.

  When the image processing unit 52 recognizes that there is no patient, a person non-detection notification is transmitted to the remote power control unit 54 as described with reference to FIG. When the remote power supply control unit 54 receives the person non-detection notification from the image processing unit 52, the remote power supply control unit 54 instructs the communication unit 28 to turn on the acceleration sensor 34 of the detection terminal 13 (ON instruction information). Send (S11). When receiving the ON instruction information from the remote power control unit 54, the communication unit 55 sends the ON instruction information to the communication unit 61 of the detection terminal 13 (S12).

  When receiving the ON instruction information from the camera 12 side, the communication unit 61 of the detection terminal 13 sends the ON instruction information to the power supply processing unit 62 (S13). When receiving the ON instruction information from the communication unit 61, the power processing unit 62 sends an ON instruction signal to the power management unit 33 (S14).

  When receiving the ON instruction signal from the power processing section 62, the power management section 33 sends an ON instruction signal to the power supply section 64 of the acceleration sensor 34 (S15). When the power supply unit 64 of the acceleration sensor 34 receives the ON instruction signal from the power management unit 33, the power supply unit 64 turns on the power supply for supplying power to the measurement unit 65 (S16). When the acceleration sensor 34 is turned on, the measuring unit 65 becomes capable of sensing and sends sensing data to the data processing unit 63 (S17).

  When the data processing unit 63 analyzes the sensing data sent from the measurement unit 65 and detects a fall or fall, the data processing unit 63 transmits the sensing data and a notification notifying the abnormality to the communication unit 61 (S18). The communication unit 61 transmits the sensing data transmitted from the data processing unit 63 and the notification notifying the abnormality to the PC 15 of the nurse center (S19).

  FIG. 9 is a sequence diagram when the patient is photographed on the camera and the power of the acceleration sensor is turned off in the present embodiment.

  When the image processing unit 52 recognizes that there is a patient, a human detection notification is transmitted to the remote power control unit 54 as described with reference to FIG. When receiving the human detection notification from the image processing unit 52, the remote power control unit 54 sends instruction information (OFF instruction information) to the communication unit 28 to turn off the acceleration sensor 34 of the detection terminal 13. (S21). When receiving the OFF instruction information from the remote power control unit 54, the communication unit 55 sends the OFF instruction information to the communication unit 61 of the detection terminal 13 (S22).

  When receiving the OFF instruction information from the camera 12 side, the communication unit 61 of the detection terminal 13 sends the OFF instruction information to the power supply processing unit 62 (S23). Upon receiving the OFF instruction information from the communication unit 61, the power processing unit 62 sends an OFF instruction signal to the power management unit 33 (S24).

  When receiving the ON instruction signal from the power processing section 62, the power management section 33 sends an OFF instruction signal to the power supply section 64 of the acceleration sensor (S25). When receiving the OFF instruction signal from the power management unit 33, the power supply unit 64 of the acceleration sensor 34 turns off the power supply for supplying power to the measurement unit 65 (S26). When the power of the acceleration sensor 34 is turned off, the measurement unit 65 cannot perform sensing, and no sensing data is sent to the data processing unit 63, so the notification to the PC 15 is also stopped. In this case, the communication unit 61 may notify the nurse center PC 15 that the power source of the acceleration sensor 34 has been turned off.

  FIG. 10 shows a display example of a monitor displayed on the PC of the nurse center in this embodiment. FIG. 10A is a display example when the patient is photographed on the camera and the acceleration sensor is turned off. FIG. 10B is a display example when the patient is no longer captured by the camera and the acceleration sensor is turned on.

  A screen including a display area 81 and a display area 84 is displayed on the monitor unit 72 of the PC 15.

  In the display area 81, a patient list 82 and a status display field 83 are displayed. The status display field 83 displays which of the cameras 12 and the detection terminal 13 is effective for monitoring. In the status display field 83, the status of the device of which the monitoring is enabled among the detection terminal 13 and the camera 12 is highlighted. Further, when the patient's detection terminal 13 is turned on and falls or falls, the corresponding status is further highlighted or blinked in the status display field 83 as indicated by reference numeral 89. And it is to notify with an alarm sound. When a patient name in the patient list 82 is clicked, a screen corresponding to the patient is displayed in the display area 84.

  In the display area 84, a patient name display field 85, a status display field 86, a video display area 87, and a sensing data display field 88 are displayed. The patient name display field 85 displays the patient name selected in the patient list 82.

  The status display column 86 displays which of the camera 12 and the detection terminal 13 is effective for monitoring the patient displayed in the patient name display column 85.

  When the camera is enabled in the status display field 86, the video display area 87 is an image transmitted from the camera 12 corresponding to the patient displayed in the patient name display field 85, as shown in FIG. Display data. On the other hand, in the video display area 87, when the detection terminal 13 is enabled in the status display field 86, the patient is not shown in the camera. Therefore, as shown in FIG. The video display area 87 may be darkened without displaying.

  The sensing data display field 88 displays the sensing data transmitted from the detection terminal 13. The sensing data includes the time at which the detection terminal 13 is turned ON / OFF, the time at which the detection terminal 13 falls, the time at which the detection terminal 13 falls, the number of times the fall / falls, and the time at which the camera 12 or the detection terminal 13 is switched.

  In FIG. 10B, since the acceleration sensor 34 is powered on, it is not monitored by the camera 12, and video data is not displayed. At this time, when the acceleration sensor 34 is turned on, the sensing data detected by the acceleration sensor 34 is highlighted in the sensing data display field 88. Further, as indicated by reference numeral 89, since the status of the detection terminal in the status display field 83 is highlighted such as blinking, it can be determined that the patient carrying the detection terminal falls or falls. At this time, a warning sound may be emitted. Further, in the sensing data display field 88, for example, “○ month ○ date ○ hour ○ minute fall / fall” is displayed based on the sensing data detected by the acceleration sensor 34.

  Thus, for example, when the target patient is on the bed, the camera detects the target patient and turns off the power of the acceleration sensor of the detection terminal. When the target patient is not on the bed, the acceleration sensor of the detection terminal is turned on. Therefore, when this embodiment is used, the patient's state can be observed by the camera when the target patient is in bed, while getting up, or sitting, and the acceleration sensor of the detection terminal can be turned off. . Even if other patients are reflected, the person recognition function distinguishes the target patient registered in advance from other patients, so that the acceleration sensor of the patient's detection terminal is accidentally turned off. It is also possible to prevent this.

  In this embodiment, the example applied as an apparatus for detecting a patient's condition in a hospital has been described. However, the present invention can be used in other scenes. For example, it may be used to detect the state of a child in a home with an infant. In that case, a home camera is installed in the child's bed, and the child is made to wear the detection terminal invented this time. A screen confirming the child's condition is displayed on the tablet or mobile terminal of the mother. You can check the child's condition with a camera image, and if you fall or fall, your mother can rush to you with an alarm sound. This makes it possible for a mother who does housework in a place where the child cannot be seen to watch the child remotely.

  According to the present embodiment, the camera and the detection terminal are interlocked, and when the patient is reflected in the camera, the acceleration sensor is turned off. When the patient is not reflected, the acceleration sensor is turned on. Become. Thereby, since the power saving of the detection terminal can be achieved, a detection terminal with a small capacity and a small number of battery replacements can be realized.

  The present invention is not limited to the above-described embodiment, and various configurations or embodiments can be taken without departing from the gist of the present invention.

DESCRIPTION OF SYMBOLS 1 Monitoring and control apparatus 2 Judgment part 3 Control part 4 Sensor apparatus 11 Patient abnormality detection system 12 Camera 13 Detection terminal 14 Access point (AP)
15 PC
32 control unit 33 power management unit 34 acceleration sensor 51 imaging unit 52 image processing unit 53 signal processing unit 54 remote power control unit 55 communication unit 61 communication unit 62 power supply processing unit 63 data processing unit 64 power supply unit 65 measurement unit 70 communication unit 71 ID association table 72 Monitor unit

Claims (4)

To the control unit,
It is determined whether the monitoring target person is included in the imaging range of the acquired captured image,
Depending on the determination result of whether or not the monitoring target person is included in the imaging range, to control the power on or off of the sensor device attached to the monitoring target person,
A supervisory control program for executing a process. In controlling power on / off,
When it is determined that the person to be monitored is included in the imaging range, an instruction to turn off the power of the sensor device is notified to the sensor device, and it is determined that the person to be monitored is not included in the imaging range. In this case, the monitoring control program according to claim 1, wherein an instruction to turn on the power of the sensor device is notified to the sensor device. A determination unit that determines whether or not the monitoring target person is included in the imaging range of the acquired captured image;
A control unit for controlling power on or off of a sensor device attached to the monitoring target person according to a determination result of whether or not the monitoring target person is included in the imaging range;
A monitoring control device comprising: The control unit
It is determined whether the monitoring target person is included in the imaging range of the acquired captured image,
Depending on the determination result of whether or not the monitoring target person is included in the imaging range, to control the power on or off of the sensor device attached to the monitoring target person,
A monitoring control method characterized by executing processing.