A system in accordance with present embodiments includes a plurality of wearable devices and a virtual queue control system configured to maintain respective virtual queues for respective attractions and in communication with the plurality of virtual queuing attraction stations. The virtual queue control system is configured to receive communications from the plurality of virtual queuing stations and add guests to the respective virtual queues based on the communications.

A method and system are provided. The method involves generating a plurality of nanoparticles, isolating fluorescent nanoparticles, embedding the fluorescent nanoparticles in a resin and applying the resin on a product. The system is for product authentication and includes a light source, fluorescence nanoparticles, a detector and a resin for applying on a product. Furthermore, a non-transitory computer readable medium encoded with codes is provided to direct the system to carry out the method.

A method and system are provided. The method involves generating a plurality of nanoparticles, isolating fluorescent nanoparticles, embedding the fluorescent nanoparticles in a resin and applying the resin on a product. The system is for product authentication and includes a light source, fluorescence nanoparticles, a detector and a resin for applying on a product. Furthermore, a non-transitory computer readable medium encoded with codes is provided to direct the system to carry out the method.

A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

The application discloses an automatic product dispatching device in case of a site abnormality in a queue time section loop, which includes a risk level definition module and a risk control logic module for product dispatching in case of the site abnormality; the risk level definition module divides risks into a plurality of levels, defines a corresponding site risk level at each site, divides a queue time section loop from a current site to an abnormal site of products into a current queue time section, a middle queue time section and an abnormal queue time section, and respectively defines section risk level; the risk control logic module forms a current product dispatching result according to a logic relationship among the section risk levels. The application further discloses an automatic product dispatching method in case of a site abnormality in a queue time section loop.

The application discloses an automatic product dispatching device in case of a site abnormality in a queue time section loop, which includes a risk level definition module and a risk control logic module for product dispatching in case of the site abnormality; the risk level definition module divides risks into a plurality of levels, defines a corresponding site risk level at each site, divides a queue time section loop from a current site to an abnormal site of products into a current queue time section, a middle queue time section and an abnormal queue time section, and respectively defines section risk level; the risk control logic module forms a current product dispatching result according to a logic relationship among the section risk levels. The application further discloses an automatic product dispatching method in case of a site abnormality in a queue time section loop.

Disclosed herein are apparatuses and methods for granting entry through a checkpoint. The implementations include receiving a request for entry of a person through a checkpoint. The implementations include estimating, via a thermal sensor, a body surface temperature of the person, and generating, via a user interface, a notification that prompts the person to answer at least one verification question. The implementations include receiving, via the user interface, at least one user response to the at least one verification question. The implementations include determining whether the at least one user response and the body surface temperature match criteria for gaining entry through the checkpoint. Additionally, the implementations include granting the request for entry in response to determining that the at least one user response and the body surface temperature match the criteria.

Disclosed herein are apparatuses and methods for granting entry through a checkpoint. The implementations include receiving a request for entry of a person through a checkpoint. The implementations include estimating, via a thermal sensor, a body surface temperature of the person, and generating, via a user interface, a notification that prompts the person to answer at least one verification question. The implementations include receiving, via the user interface, at least one user response to the at least one verification question. The implementations include determining whether the at least one user response and the body surface temperature match criteria for gaining entry through the checkpoint. Additionally, the implementations include granting the request for entry in response to determining that the at least one user response and the body surface temperature match the criteria.

A method and system include identifying, by a processor, departing flight information that designates departure airports and departure times in payment card transaction data of a plurality of users. Airport-specific data for a departure airport before a departure time of a departing flight of a user from the plurality of users is received. The airport-specific data is inputted into a machine learning model that outputs a user-specific airport processing time for the user to reach a departure gate upon arriving to the departure airport. A travel time from a geographical location of the computing device of the user to the departure airport is received from a navigation system. The computing device displays a time for the user to start travel to the departure airport based on the user-specific airport processing time and the travel time to the departure airport for the user to reach the departure gate by the departure time.

A method and system include identifying, by a processor, departing flight information that designates departure airports and departure times in payment card transaction data of a plurality of users. Airport-specific data for a departure airport before a departure time of a departing flight of a user from the plurality of users is received. The airport-specific data is inputted into a machine learning model that outputs a user-specific airport processing time for the user to reach a departure gate upon arriving to the departure airport. A travel time from a geographical location of the computing device of the user to the departure airport is received from a navigation system. The computing device displays a time for the user to start travel to the departure airport based on the user-specific airport processing time and the travel time to the departure airport for the user to reach the departure gate by the departure time.