EP4019448A1 - Passenger emergency detection system - Google Patents

Passenger emergency detection system Download PDF

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Publication number
EP4019448A1
EP4019448A1 EP20020642.3A EP20020642A EP4019448A1 EP 4019448 A1 EP4019448 A1 EP 4019448A1 EP 20020642 A EP20020642 A EP 20020642A EP 4019448 A1 EP4019448 A1 EP 4019448A1
Authority
EP
European Patent Office
Prior art keywords
passenger
elevator
cabin
emergency
invention according
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20020642.3A
Other languages
German (de)
French (fr)
Inventor
Georgios GEORGIADIS
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Kleemann Hellas SA
Original Assignee
Kleemann Hellas SA
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Kleemann Hellas SA filed Critical Kleemann Hellas SA
Priority to EP20020642.3A priority Critical patent/EP4019448A1/en
Publication of EP4019448A1 publication Critical patent/EP4019448A1/en
Pending legal-status Critical Current

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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006Monitoring devices or performance analysers
    • B66B5/0012Devices monitoring the users of the elevator system

Definitions

  • Present invention refers to a passenger emergency detection system in an elevator.
  • the above-mentioned system is able to detect an emergency situation, such as loss of conscience of a passenger, heart attack or any other kind of medical situation that affects the ability to physically act, through a camera that is placed in the elevator cabin. Following are described further details about the invention.
  • the presented invention is a passenger emergency detection system.
  • the first part of the presented invention concerns the presence of a real-time, multi-space, multi-camera tracking system to a fall detection system with all the deriving qualities, such as monitoring any cabin area regardless its size by the use of multiple depth sensors that retain passengers' individual privacy.
  • the detection system is based on key features that characterize a fall, such as vertical velocity and area variance, while falling process is modelled by Hidden Markov Models (HMM).
  • HMM Hidden Markov Models
  • the system produces alarms, or sends a signal, like an auto dialler, that may call for immediate assistance to the person that is in need.
  • the controller manages the immediate cabin movement to the ground floor (or any other floor that has been declared as the reference floor) and door opening, so the person in need is visible from outside.
  • the fan speed is increased so to provide the feeling of additional air to the person that has fainted out in the cabin.
  • Figure 1 is presented in detail the way that the system works.
  • One of the most important aspects is to discriminate whether the passenger has actually fainted out or just bended over, for example picking up something or tie shoes. For that reason, the detection method extracts data as vertical velocity and area variance. Moreover, in case that the passenger remains on the floor several acts are going to take place and they are all presented in the figure.
  • Figure 2 visualize better the idea of the passenger emergency detection system.
  • One of the main parts of the system is the detection camera (1).
  • the applied camera calibration algorithm permits the use of multiple cameras that refer to a common coordinate system in the cabin, so that any area, regardless its size, can be monitored.
  • possible constrictions are handled by deploying a virtual top-view camera based on calibration data, even though the overall detection-tracking procedure is performed on the horizontal plane.
  • the passenger On the left side of the figure the passenger is standing (2a) in the elevator cabin, while on the right side is presented a fall event and the passenger is laying (2b) on the cabin floor.
  • the fall is modelled by HMM based on characteristics like vertical velocity and area variance from top view of the tracked passenger.
  • the system is connected to the elevator controller so the corresponding signal sets on the alarm, increases the cabin ventilation and moves the cabin to the ground floor (or any other reference floor) with the door (3) on the open position.
  • the corresponding signal (digital or through loT) for help is sent to the proper service, that had been selected as an emergency contact.
  • Figure 3 shows a fall event in an elevator cabin as it is depicted by the system camera. It is obvious that it is impossible to have a face recognition and the system does not record any other personal data of the passengers. Therefore, the system can be used in public buildings since none personal data is violated. The system recognizes only the outline of the passengers, while the collected data of vertical velocity and area variance leads to the activation of emergency procedures as they are presented in Figure 1 .

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  • Indicating And Signalling Devices For Elevators (AREA)
  • Maintenance And Inspection Apparatuses For Elevators (AREA)

Abstract

The invention refers to a passenger emergency detection system which detects an emergency, as fainting or any other medical situation that affects the ability to ask for help by yourself, through a camera that is placed in the elevator cabin. The applied camera calibration algorithm permits the monitor of any area, regardless its size. Passenger's fall is detected based on characteristics like vertical velocity and area variance. The system is connected to the elevator controller so the corresponding signal sets on the alarm, increases the cabin ventilation and moves the cabin to the ground floor with the door on the open position. Alongside, the help signal is sent to an emergency centre.

Description

  • Present invention refers to a passenger emergency detection system in an elevator. The above-mentioned system is able to detect an emergency situation, such as loss of conscience of a passenger, heart attack or any other kind of medical situation that affects the ability to physically act, through a camera that is placed in the elevator cabin. Following are described further details about the invention.
  • Loss of conscience is an unpleasant event that may occur usually amongst the senior citizens, patients or pregnant women, but it could also occur in cases of heart attack or a stroke. This event may cause physical injuries or even mental problems, such as fear and anxiety. Most of the times is crucial the immediate medical treatment.
  • According to the statistical committee of European Lift Association the existing lifts in Europe are more than 6,000,000. In the meantime, in China is estimated that in 2019 more than 600,000 new installations took place. As it becomes clear people spend several of minutes everyday in an elevator while going to work, for shopping or even in their homes. There is also a wide range of people who use the elevators, they are people of all ages that may face a medical situation at any time, even while they are in an elevator cabin.
  • According to the state of the art, there is always an emergency button or emergency stop switch in the elevator cabin, that is used in case of emergency. The result is usually the simplest form of ringing an alarm in the building or even connecting to a call center for asking help. The main drawback of these solutions is that the passengers have to act by themselves, while in several cases they are not able to do it before falling on the floor or even before getting unconscious.
  • The presented invention is a passenger emergency detection system. The first part of the presented invention concerns the presence of a real-time, multi-space, multi-camera tracking system to a fall detection system with all the deriving qualities, such as monitoring any cabin area regardless its size by the use of multiple depth sensors that retain passengers' individual privacy. The detection system is based on key features that characterize a fall, such as vertical velocity and area variance, while falling process is modelled by Hidden Markov Models (HMM). Furthermore, the system produces alarms, or sends a signal, like an auto dialler, that may call for immediate assistance to the person that is in need. Moreover, the controller manages the immediate cabin movement to the ground floor (or any other floor that has been declared as the reference floor) and door opening, so the person in need is visible from outside. In parallel, the fan speed is increased so to provide the feeling of additional air to the person that has fainted out in the cabin.
  • The description of the invention is supplemented with the following figures. Each one is described thoroughly.
  • In Figure 1 is presented in detail the way that the system works. One of the most important aspects is to discriminate whether the passenger has actually fainted out or just bended over, for example picking up something or tie shoes. For that reason, the detection method extracts data as vertical velocity and area variance. Moreover, in case that the passenger remains on the floor several acts are going to take place and they are all presented in the figure.
  • Figure 2 visualize better the idea of the passenger emergency detection system. One of the main parts of the system is the detection camera (1). The applied camera calibration algorithm permits the use of multiple cameras that refer to a common coordinate system in the cabin, so that any area, regardless its size, can be monitored. Moreover, possible constrictions are handled by deploying a virtual top-view camera based on calibration data, even though the overall detection-tracking procedure is performed on the horizontal plane. On the left side of the figure the passenger is standing (2a) in the elevator cabin, while on the right side is presented a fall event and the passenger is laying (2b) on the cabin floor. The fall is modelled by HMM based on characteristics like vertical velocity and area variance from top view of the tracked passenger. The system is connected to the elevator controller so the corresponding signal sets on the alarm, increases the cabin ventilation and moves the cabin to the ground floor (or any other reference floor) with the door (3) on the open position. Alongside, the corresponding signal (digital or through loT) for help is sent to the proper service, that had been selected as an emergency contact.
  • Finally, Figure 3 shows a fall event in an elevator cabin as it is depicted by the system camera. It is obvious that it is impossible to have a face recognition and the system does not record any other personal data of the passengers. Therefore, the system can be used in public buildings since none personal data is violated. The system recognizes only the outline of the passengers, while the collected data of vertical velocity and area variance leads to the activation of emergency procedures as they are presented in Figure 1.

Claims (5)

  1. The "Passenger emergency detection system" is characterized in that it is an elevator system comprising of at least one depth analysis camera, that is installed in the cabin, a software for analyzing the input data from the camera and a control action system, which is connected to the elevator controller.
  2. The invention according to Claim 1, is characterized in that it detects elevator passenger's loss of conscience, or any other medical problem, resulting in inability of passenger to activate pushing emergency buttons (or switch).
  3. The invention according to Claims 1 and 2, is characterized in that it analyzes whether passenger's loss of conscience exceeds a predefined time period, without recovery to normal passenger condition.
  4. The invention according to Claims 1 and 3, is characterized in that after the lapse of the predefined time it initiates automatically set of actions, such as alarm, call to emergency center, digital message to first aid facilities with data regarding place, building and elevator where the incident took place.
  5. The invention according to Claims 1-4, is characterized in that after lapse of the predefined time it sends the elevator to ground floor, open the doors in order cabin to be accessible to external help and regulates fans inside cabin to provide increased circulation of air as needed to passenger in emergency condition.
EP20020642.3A 2020-12-22 2020-12-22 Passenger emergency detection system Pending EP4019448A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP20020642.3A EP4019448A1 (en) 2020-12-22 2020-12-22 Passenger emergency detection system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP20020642.3A EP4019448A1 (en) 2020-12-22 2020-12-22 Passenger emergency detection system

Publications (1)

Publication Number Publication Date
EP4019448A1 true EP4019448A1 (en) 2022-06-29

Family

ID=73856683

Family Applications (1)

Application Number Title Priority Date Filing Date
EP20020642.3A Pending EP4019448A1 (en) 2020-12-22 2020-12-22 Passenger emergency detection system

Country Status (1)

Country Link
EP (1) EP4019448A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115893140A (en) * 2022-11-21 2023-04-04 无锡禾木森智能科技有限公司 System for detecting falling state of people in elevator car

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016085795A1 (en) * 2014-11-26 2016-06-02 Otis Elevator Company Elevator security and control system based on passenger movement
WO2019076917A1 (en) * 2017-10-17 2019-04-25 View Promotion Gmbh Method for monitoring a lift car

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016085795A1 (en) * 2014-11-26 2016-06-02 Otis Elevator Company Elevator security and control system based on passenger movement
WO2019076917A1 (en) * 2017-10-17 2019-04-25 View Promotion Gmbh Method for monitoring a lift car

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115893140A (en) * 2022-11-21 2023-04-04 无锡禾木森智能科技有限公司 System for detecting falling state of people in elevator car
CN115893140B (en) * 2022-11-21 2024-01-12 无锡禾木森智能科技有限公司 Personnel fall state detecting system in elevator car

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