Carrier Corporation

Hamilton Sundstrand Corporation

Otis Elevator Company

Yanzhi Chen

Alan Matthew Finn

Hui Fang

Zhen Jia

Michael J Birnkrant

Peter R Harris

Jennifer M Alexander

Jie Xi

Tahany Ibrahim El-Wardany

Arthur Hsu

Qiang Li

Jianguo Li

Colette Opsahl Fennessy

Ranadip Acharya

Jianwei Zhao

William K Tredway

LongWen Wang

Anna Su

Qingqing Zhang

Vijay Narayan Jagdale

Alois Senger

Kishore K Reddy

ZhaoXia Hu

Jaume Amores

Changle Li

Zhaoxia Hu

JianGuo Li

Wilfrid Fuchs

Sofiane Yous

Wei Ge

XuLei Guo

Keith J Power

A method for searching video includes receiving a video query, the video query including a first video query term identifying a first foreground object, a second video query term identifying a second foreground object, and a third video query term identifying a spatiotemporal relationship; searching the video in response to the video query for the first foreground object and the second foreground object within the spatiotemporal relationship; and generating a search result in response to the searching.

Video searching using multiple query terms

A detection system for measuring one or more condition within a predetermined area includes a fiber harness having at least one fiber optic cable for transmitting light. The at least one fiber optic cable defines a node arranged to measure the one or more conditions. A light source is coupled to the at least one fiber optic cable for emitting a modulated light to the node. The modulated light is transmitted into the predetermined area. A light sensitive device is coupled to the at least one fiber optic cable for receiving scattered light associated with the node. A control unit is operably coupled to the light source and to the light sensitive device to determine at least one of a presence and magnitude of the one or more conditions within the predetermined area.

High sensitivity fiber optic based detection

A detection system for measuring one or more conditions within a predetermined area including a fiber harness having at least one fiber optic cable for transmitting light. The at least one fiber optic cable defines a plurality of nodes arranged to measure the one or more conditions. A control system is operably coupled to the fiber harness such that scattered light associated with the plurality of nodes is transmitted to the control system. The control system analyzes the scattered light from each of the plurality of nodes individually and the control system analyzes the scattered light from each of the plurality of nodes collectively to determine at least one of a presence and magnitude of the one or more conditions within the predetermined area.

An additive manufacturing (AM) system includes a process distortion compensation computing system and an AM peripheral device. The process distortion compensation computing system determines a digital nominal model that represents a physical target object excluding a distortion, and a digital distortion model that represents the physical target object including at least one distortion. The AM peripheral device forms a three-dimensional (3D) physical object based on a digital compensation model. The process distortion compensation computing system also determines a digital skeletal model indicating a predicted change in at least one of the shape and volume of the nominal model, and generates the digital compensation model based on the skeletal model that compensates for the at least one distortion.

Additive manufacturing including compensation modeling methodology with shape transformation

A control system of a detection system for measuring one or more conditions within a predetermined area includes a control unit having at least one processor for implementing an algorithm and a fiber harness having at least one fiber optic cable for transmitting light, the at least one fiber optic cable defining at least one node arranged to measure the one or more conditions. A sensor is operably coupled to the at least one node, wherein the sensor receives scattered light associated with the at least one node and generates signals corresponding to the scattered light. A switch is operably coupled to the sensor and to the control unit. The switch selectively provides signals from the sensor to the control unit for processing to determine at least one of a presence and magnitude of the condition within the predetermined area.

A spatial difference measurement method, can include generating first key features of a first skeleton of a nominal 3D model of an object and extrapolating the first key features onto the nominal 3D model. The method can include creating an actual 3D model of the object during or after a construction process (real or simulated). The method can include generating second key features of a second skeleton of the actual 3D model of the object and extrapolating the second key features onto the actual 3D model of the object. The method can include comparing the first key features extrapolated on the nominal 3D model to the second key features extrapolated on the actual 3D model to determine one or more distances between the first and second key features to measure a spatial difference between the nominal 3D model and the object during or after construction.

Spatial difference measurement

A detection system for measuring one or more conditions within a predetermined area includes a fiber harness having at least one fiber optic cable for transmitting light. The at least one fiber optic cable defines a node arranged to measure the one or more conditions. A control system is operably coupled to the fiber harness such that a signal indicative of scattered light associated with the node is transmitted to the control system. The control system analyzes the signal associated with the node in one or more of a frequency domain, time-frequency domain, time domain, and spatial domain, to determine at least one of a presence and magnitude of the condition within the predetermined area.

An additive manufacturing (AM) system comprising a process distortion compensation computing system configured to determine a digital nominal model that represents a physical target object excluding a distortion, and a digital distortion model that represents the physical target object including at least one distortion. The AM system further comprises an AM peripheral device configured to form a three-dimensional physical object based on a digital compensation model. The process distortion compensation computing system determines a material volume difference between the digital nominal model and the digital distortion model, and generates the digital compensation model that compensates for the material volume difference.

Additive manufacturing process distortion compensation system

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.

Method and system for multiple 3D sensor calibration

The present invention relates to the field of passenger conveyor technologies, and provides a monitoring system of a passenger conveyor and a monitoring method thereof. In the monitoring system and detection method of the present invention, a monitored object of the passenger conveyor is sensed by using an imaging sensor and/or a depth sensing sensor to acquire a data frame, and the data frame is analyzed by a processing apparatus to monitor whether the monitored object is in a normal state. The monitored object may include a landing plate, a step, a barrier used in a maintenance and repair working condition and/or a step speed, and the like.

Monitoring system of a passenger conveyor and monitoring method thereof

A monitoring system and a monitoring method for a passenger conveying device, and the passenger conveying device. The monitoring system comprises an imaging sensor and/or a depth sensing sensor for sensing a monitoring area of the passenger conveying device to acquire data frames; and a processing device for performing data processing on the data frames to monitor whether the monitoring area is abnormal, and configured to comprise: a background acquisition module for acquiring a background model based on data frames sensed when the monitoring area is in a normal state; a foreground detection module for comparing data frames sensed in real time with the background model to obtain a foreground object; a foreground feature extraction module for extracting a corresponding foreground object markup feature from the foreground object; and a state judgment module for judging whether the foreground object belongs to an abnormal population.

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Shanghai, China

Yanzhi Chen