Abstract:
A passenger tracking system includes a multiple of sensors for capturing depth map data of objects. A processing module in communication with the multiple of sensors to receive the depth map data, the processing module uses the depth map data to track an object and calculate passenger data associated with the tracked object to generate a passenger tracking list that tracks each individual passenger in the passenger data from an origin lobby to a destination lobby and through an in-car track between the origin lobby and the destination lobby.
Abstract:
The present invention relates to a system for monitoring an elevator door, an elevator system, and a method for monitoring an elevator door. The elevator door has an open state or a closed state implemented by moving along an elevator sill. The system for monitoring an elevator door includes: one or more imaging sensors configured to collect image data and depth data of at least one section in the elevator sill that is exposed when the elevator door is in the open state; and a data processing device in communication with the imaging sensor and configured to receive and process the image data and the depth data to determine whether an obstacle preventing the elevator door from entering the closed state exists in the section. By applying the present invention, the safety of the elevator door can be improved effectively, and equipment property losses and personal injuries can be avoided.
Abstract:
A monitoring system includes: an imaging sensor configured to sense a lighting device of the passenger conveyor to acquire image data; and a processing apparatus configured to process the image data, the processing apparatus being configured to include: a background acquisition module configured to acquire a background model based on sensed image data; a foreground detection module configured to compare image data sensed in real time with the background model to obtain a foreground object; and a working condition judgment module configured to perform data processing at least based on the foreground object to judge whether the lighting device is in a normal state. Then, a failure or an abnormal lighting state of the lighting device can be timely diagnosed so that maintenance is performed.
Abstract:
A method for multiple 3D sensor calibration for a passenger conveyance system, the process including a computing a centroid location from spatial measurements for each of a pair of 3D sensors that form a common field of view via a moving object mathematical model; computing translation parameters from the locations of each centroid location; and correcting one of the pair of 3D sensors to a common world coordinate system from the translation parameters.
Abstract:
A fusion based passenger tracking system includes one or more 2D/3D sensors for capturing 2D/3D data; one or more security sensors for capturing security data; and a processing module in communication with the one or more 2D/3D sensors to receive the 2D/3D data, and the one or more security sensors to receive the security data, the processing module uses the 2D/3D data and the security data to calculate passenger data to generate a passenger tracking list that tracks each individual passenger in the passenger data.
Abstract:
The present invention relates to the field of passenger conveyor technologies, and provides a speed detection system of a passenger conveyor and a speed detection method thereof. In the speed detection system and the speed detection method of the present invention, an imaging sensor and/or a depth sensing sensor are/is used to sense at least one part of the passenger conveyor to acquire sequence frames, and the sequence frames are analyzed by a processing apparatus to obtain at least speed information about steps of the passenger conveyor.
Abstract:
A monitoring system includes: an imaging sensor configured to sense a lighting device of the passenger conveyor to acquire image data; and a processing apparatus configured to process the image data, the processing apparatus being configured to include: a background acquisition module configured to acquire a background model based on sensed image data; a foreground detection module configured to compare image data sensed in real time with the background model to obtain a foreground object; and a working condition judgment module configured to perform data processing at least based on the foreground object to judge whether the lighting device is in a normal state. Then, a failure or an abnormal lighting state of the lighting device can be timely diagnosed so that maintenance is performed.
Abstract:
A moving handrail monitoring system includes a sensor configured to sense at least part of a moving handrail of the passenger conveying device to acquire a data frame; a processing device configured to analyze and process the data frame to monitor whether a tension degree of the moving handrail is in a normal state, wherein the processing device is configured to include: a target object recognition module configured to recognize, based on a sensed movement and/or position and/or color and/or shape, a moving handrail portion that serves as a target object from the data frame; an object feature extraction module configured to extract a tension degree feature of the moving handrail portion; and a judgment module configured to compare the extracted tension degree feature with a system preset interval, and judge whether a current tension degree of the moving handrail is normal.
Abstract:
A fusion based passenger tracking system includes one or more 2D/3D sensors for capturing 2D/3D data; one or more security sensors for capturing security data; and a processing module in communication with the one or more 2D/3D sensors to receive the 2D/3D data, and the one or more security sensors to receive the security data, the processing module uses the 2D/3D data and the security data to calculate passenger data to generate a passenger tracking list that tracks each individual passenger in the passenger data.
Abstract:
A passenger conveyance special loading system includes a depth-sensing sensor for capturing depth map data of objects within a field of view. A processing module in communication with the depth-sensing sensor receives the depth map data, the processing module uses the depth map data calculate passenger data associated with an object to determine a special loading condition. A passenger conveyance controller receives the passenger data from the processing module, the passenger conveyance controller controls a passenger conveyance dispatch control function in response to the special loading condition.