An environment association system (“EAS”) comprising: a processor and a memory; an object recognition process configured to identify objects within images, the objects including one or more of a vehicle, a vehicle lift, a vehicle repair tool, and an alignment fixture; and an EAS interface configured to communicate with a user device, the user device comprising a camera and a display; wherein the processor is configured to: determine, for at least one object in the set of objects, create a virtual overlay for the image based on the position of the at least one object within the image and a virtual marking associated with the at least one object; and provide the virtual overlay to the user device, wherein the virtual overlay is configured to cause the user device to simultaneously display the image and the virtual overlay via the display. The system provides information about the alignment of lifting points of the object with lifting members.

A system and method for performing service actions on a vehicle according to a ruleset. The ruleset classifies serviceable conditions of the vehicle according to rules defined within the ruleset. A diagnostic tool is utilized to perform the service actions and is configured to establish data communication with other diagnostic devices that the rules indicate may be required for a certified service action. After the completion of the service actions, certified repair results are generated indicating successful completion of the service action.

A system and method for performing service actions on a vehicle according to a ruleset. The ruleset classifies serviceable conditions of the vehicle according to rules defined within the ruleset. A diagnostic tool is utilized to perform the service actions and is configured to establish data communication with other diagnostic devices that the rules indicate may be required for a certified service action. After the completion of the service actions, certified repair results are generated indicating successful completion of the service action.

A system for detecting a leak in a duct is disclosed, including a sheath covering a duct section, a fluid concentrating device and a sensor. The sheath is attached to a boundary portion of the duct section and forms an inner space between an outer surface of the duct section and the sheath. The fluid concentrating device has an opening through the sheath connecting the inner space to an external space outside the sheath. The inner space is sealed except for the opening through the sheath. The sensor is stationed outside the opening of the fluid concentrating device and is configured to detect fluid flow from the inner space through the opening at a level corresponding to a duct leak in a pre-burst condition.

A method, apparatus, system, and computer program product for managing a vapor cycle machine. Data is received for the vapor cycle machine in an aircraft. The data comprises a pressure, a temperature, and a speed for a set of compressors in the vapor cycle machine. A ratio of the pressure to the temperature is determined for the set of compressors that ran during a flight of the aircraft. A set of actions is performed when the ratio of the pressure to the temperature for the set of compressors that ran during the flight of the aircraft exceeds a threshold more than a selected number of times over a range of flights for the aircraft.

A system and method are disclosed for helping a user determine whether a vehicle is subject to a safety recall and assisting the user with addressing incomplete safety recalls. A vehicle identification number (VIN) may be extracted from an image of a vehicle captured by a user electronic device and used to request safety recall information from a remote information system, which may provide a list of recalls associated with the vehicle. A list of nearby service centers may be identified based on the physical location of the user electronic device, and service appointments to address any incomplete recalls may be scheduled, either automatically or in response to user input.

A method of optimizing rider satisfaction includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as indicative of an effect on a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, at least one aspect of rider satisfaction affected by an effect on the transportation system derived from the social media data classified as indicative of an effect on the transportation system. The method still further includes optimizing, using a third neural network of the hybrid neural network, the at least one aspect of rider satisfaction for at least one rider occupying a vehicle in the transportation system.

Disclosed is an escalator system having: escalator steps; and a plurality of state sensors including a master sensor and slave sensors, wherein the slave sensors are secured to different ones of the escalator steps, wherein the master sensor is configured to: receive slave sensor data from the slave sensors; and transmit data to an escalator call center upon detecting an occurrence of a fault condition from the slave sensor data.

An apparatus for alarming of oil dilution may include: a control device for predicting oil dilution based on a cold start state of a vehicle, a rapid acceleration state of a vehicle, and a high-speed maintenance time of a vehicle; and an alarming device that guides the driver to check or replace engine oil based on the oil dilution predicted by the control device.

A machine localization system includes a work machine including an extendable implement, a first pressure sensor coupled to the work machine, a second pressure sensor located at a known elevation, and a computing system operably coupled to the work machine, the first pressure sensor, and the second pressure sensor. The computing system is configured to receive a first pressure measurement from the first pressure sensor and a second pressure measurement from the second pressure sensor, determine a maximum operating height of the extendable implement based on a difference between the first pressure measurement and the second pressure measurement, and configure the extendable implement to not exceed the maximum operating height.