A method by one or more computing devices functioning as a ticket master for a website that has a virtual waiting room, wherein the ticket master is communicatively coupled to a plurality of proxies controlling access to the website. When the ticket master is in a relaxed mode (as opposed to a pressure mode), the method includes pre-allocating a number of tickets to the plurality of proxies for a first upcoming time period and setting a queue head for the first upcoming time period to a ticket number of a last ticket created, wherein the number of tickets that are pre-allocated for the first upcoming time period is greater than a target number of users allowed to enter the website during the first upcoming time period but less than a predefined maximum sudden spike number.

A method by one or more computing devices functioning as a ticket master for a website that has a virtual waiting room, wherein the ticket master is communicatively coupled to a plurality of proxies controlling access to the website. When the ticket master is in a relaxed mode (as opposed to a pressure mode), the method includes pre-allocating a number of tickets to the plurality of proxies for a first upcoming time period and setting a queue head for the first upcoming time period to a ticket number of a last ticket created, wherein the number of tickets that are pre-allocated for the first upcoming time period is greater than a target number of users allowed to enter the website during the first upcoming time period but less than a predefined maximum sudden spike number.

A queue monitoring system includes at least one sensor configured to monitor guests admitted from an entrance and generate a sensor signal. The system also includes a virtual queue controller comprising a processor and communications circuitry, wherein the virtual queue controller is configured to: communicate guest admittance information to an operator device, the guest admittance information causing the operator device to display a target number of guests to be admitted during a time interval; determine a count of guests admitted from the entrance during the time interval based on the sensor signal; determine a remaining number representative of remaining guests to be admitted based on the target number and the count of guests admitted from the entrance; and communicate a standby admit signal to the operator device to cause the operator device to display the remaining number.

A queue monitoring system includes at least one sensor configured to monitor guests admitted from an entrance and generate a sensor signal. The system also includes a virtual queue controller comprising a processor and communications circuitry, wherein the virtual queue controller is configured to: communicate guest admittance information to an operator device, the guest admittance information causing the operator device to display a target number of guests to be admitted during a time interval; determine a count of guests admitted from the entrance during the time interval based on the sensor signal; determine a remaining number representative of remaining guests to be admitted based on the target number and the count of guests admitted from the entrance; and communicate a standby admit signal to the operator device to cause the operator device to display the remaining number.

A network consisting of modules, each containing a wireless communication unit (106, 119, 135, 151), sensors (104, 105, 137, 138, 149) and/or actuators (103, 116, 118, 120, 134, 136, 150), allowing new dimensions of audience interaction. Each module is capable of input, output and signal filtering (102, 117, 133, 148). Behavior is controlled by a primary module (FIG. 1A) establishing module parameters including, but not limited to, output and sensor behavior, display data, non-primary module menu options, modules active in network and order of module communication. Modes of operation may allow non-primary modules (FIGS. 2A, 3A, 4A) to effect the primary module's settings creating a cyclical feedback in which the network's behavior (FIGS. 5A, 5B, 5C) is dependent on both primary and non-primary modules' output. The non-primary modules' portion of the network's output may be dependent upon a combination of non-primary module algorithms and sensor values. Inputs (104, 105, 137, 138, 149) and outputs (103, 116, 118, 120, 134, 136, 150) include, but are not limited to, audio components, LEDs, LED drivers, motors, relays, buttons, potentiometers, LCD displays, phones, piezo elements, accelerometers, gyroscopes, infrared emitters and detectors, temperature sensors and sonar sensors.

A network consisting of modules, each containing a wireless communication unit (106, 119, 135, 151), sensors (104, 105, 137, 138, 149) and/or actuators (103, 116, 118, 120, 134, 136, 150), allowing new dimensions of audience interaction. Each module is capable of input, output and signal filtering (102, 117, 133, 148). Behavior is controlled by a primary module (FIG. 1A) establishing module parameters including, but not limited to, output and sensor behavior, display data, non-primary module menu options, modules active in network and order of module communication. Modes of operation may allow non-primary modules (FIGS. 2A, 3A, 4A) to effect the primary module's settings creating a cyclical feedback in which the network's behavior (FIGS. 5A, 5B, 5C) is dependent on both primary and non-primary modules' output. The non-primary modules' portion of the network's output may be dependent upon a combination of non-primary module algorithms and sensor values. Inputs (104, 105, 137, 138, 149) and outputs (103, 116, 118, 120, 134, 136, 150) include, but are not limited to, audio components, LEDs, LED drivers, motors, relays, buttons, potentiometers, LCD displays, phones, piezo elements, accelerometers, gyroscopes, infrared emitters and detectors, temperature sensors and sonar sensors.

A system for reducing occupational dermatitis at a work place the system comprising at a facility: one or more dispensers configured to dispense a pre-work hand product; one or more dispensers configured to dispense a washing or cleansing product; one or more dispensers configured to dispense a conditioning product; one or more dispensers configured to dispense a post-work product; a dispenser usage monitoring system; each of said plurality of dispensers in communication with the dispenser usage compliance system and configured to provide a signal to the dispenser usage monitoring system, indicative of usage of the dispenser, wherein the dispenser usage monitoring system is configured to determine usage of the plurality of the dispensers against a skin care regime.

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 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 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.