Carrier Corporation

Sikorsky Aircraft Corporation

Otis Elevator Company

Goodrich Corporation

Luca F Bertuccelli

Amit Surana

Margaret MacIsaac Lampazzi

Thomas Guido

Robert Pupalaikis

Gary Howland

Zhen Jia

Alan Matthew Finn

Yi Shan Jiang

Arthur Hsu

Hui Fang

Hayden M Reeve

Kishore K Reddy

George A Mathew

Vinay Kumar Vinnakota

Kanna Selvakani

Jinlei Ding

Kin Gwn Lore

James S Magson

Fulin Wang

Qianchuan Zhao

Cherry Cwalina

Rakesh Kumar Arepalli

John G Schoenfeld

Zhijin Cheng

Francesco Leonardi

Sunil Kumar Balis

Snap-on item tracking device

Methods and systems for controlling elevator systems are provided. The methods include receiving inputs from at least one interactive input device, wherein the inputs include elevator call requests, tracking one or more people located within a monitored area using at least one sensor, assigning elevator assignments to the one or more people based on at least one of the inputs from the at least one interactive input device and a grouping algorithm based on the tracking of the one or more people, and scheduling operation of at least one elevator car based on the elevator assignments.

Systems and methods for improved elevator scheduling

Aspects of the invention are directed towards a system and method for saving power of a battery associated with item/s. One or more embodiments of the invention describe the method comprising steps of receiving a location and a charged status of a battery associated with each of one or more items placed inside a container. The method further describes steps of assigning a cluster to a group of items from the one or more items based on the location of each of the one or more items and identifying a master item from the group of items based on the charged status of each item in the cluster. The method also describes steps of transmitting a message to the master item for sensing a parameter for the group of items in the cluster and receiving a sensed parameter from the master item for the group of items.

Method and system for saving power of a battery associated with item/s

A method of teaming a manned aerial vehicle and an unmanned aerial vehicle includes inputting to a controller in a manned vehicle coordinates for an area of interest, plotting a course to the area of interest in a navigation computer operatively connected to the controller, identifying one or more unmanned aerial vehicles (UAVs) near the area of interest, communicating to a ground controller rendezvous coordinates for one of the one or more UAVs, and negotiating a control hand-off of the one of the one or more UAVs from the ground controller to the controller.

Method and system for teaming manned and unmanned aerial vehicles

According to one embodiment, a method of identifying a part of a conveyance system is provided. The method comprising: capturing an image of a part of a conveyance system using a camera; classifying the part of the conveyance system using supervised learning; and displaying a classification of the part of the part on a mobile computing device.

Part recognition and damage characterization using deep learning

A method of conditioning an environment includes generating, by a group feedback analysis system, a first comfort limit based on a first plurality of data points corresponding to user feedback of a group of users in an environment conditioned by an environmental conditioning system to identify the first comfort limit at a first extreme; generating, by the group feedback analysis system, a second comfort limit based on a second plurality of data points corresponding to user feedback of the group of users in the environment conditioned by the environmental conditioning system to identify the second comfort limit at a second extreme, the second extreme being opposite the first extreme; identifying, by the group feedback analysis system, a comfort region defined by the first comfort limit and the second comfort limit; and controlling the environmental conditioning system to maintain at least one environmental criterion within the comfort region.

Group dynamic environment control

An electronic human machine interface (HMI) module is configured to receive at least one input from an operator of a manually-operated vehicle. The electronic HMI module includes an electronic graphical display unit and an electronic control module. The electronic graphical display unit is configured to display information corresponding to the manually-operated vehicle and information corresponding to an autonomously operated unmanned vehicle (UV) located remotely from the manually-operated vehicle. The electronic control module is in signal communication with the UV and is configured to receive an electronic image signal from the UV. The electronic control module is further configured to display a real-time image captured by the UV on the electronic graphical display unit based on the image signal.

Human machine interface system

A method of controlling a directional facing of a sensor mounted to a vehicle includes storing, by a sensor control computer, previously-searched locations of a terrain at which the sensor is directed. The method includes determining a likelihood of detecting a target at one or more points on the terrain and controlling a directional facing of the sensor onto the terrain based on the previously-searched locations and the likelihood of detecting the target.

Locational and directional sensor control for search

A method and system for optimizing a human supervised cyber-physical system determines a state of the human operator based on data from multiple psycho physiological sensors, determines a state of each of multiple cyber-physical systems in the human supervised cyber-physical system based on data provided by the cyber-physical systems, and fuses the state of the human operator and the state of each of the plurality of cyber-physical systems into a single state of the human supervised cyber-physical system. The single state is then used to generate recommendations for optimizing a user interface and to generate high level control signals for the cyber-physical systems.

Optimization of human supervisors and cyber-physical systems

Growing community of inventors

West Hartford, CT, United States of America

Luca F Bertuccelli