Embodiments disclosed herein are related to a method that can include displaying first content on a media display, receiving first data generated from or determined by an Internet of Things (IoT) device, and displaying second content in response to receiving the first data from the IoT device.

Systems and methods for monitoring or verifying worker activity while in a commercial or business setting. The systems and methods for monitoring workers may be configured to track, verify or confirm one or more employee activities related to employment duties, such as being at the location of business for the times the employee reports to be working and for which the employee expects to receive payment for services rendered.

Systems and methods for monitoring or verifying worker activity while in a commercial or business setting. The systems and methods for monitoring workers may be configured to track, verify or confirm one or more employee activities related to employment duties, such as being at the location of business for the times the employee reports to be working and for which the employee expects to receive payment for services rendered.

Disclosed are a complete-type online volunteer activity management system and a method thereof. The disclosed complete-type online volunteer activity management system comprises: a volunteer terminal which selects a specific volunteer activity campaign among a plurality of the posed volunteer campaigns and applies for an online volunteer activity; a volunteer group terminal which registers a volunteer activity campaign for posting the volunteer activity campaigns on the volunteer terminal.

A method and system to automate and input the collection of payroll related information in real-time by contractors that perform work for government and private actors. This method and system includes the automation of identifying contractors' workforce on and -off the job-site in real-time, the automation of collection of data from the job-site to provide government and private actors with certified payroll related information, validating wage determination on submittal by a database repository of pre-defined wage schedules, identification in real-time of any wage theft, and notification in real-time of any on-site job-site workforce not meeting singular or plurality safety requirements. This method and system also includes identifying, in real-time, contractors' current workforce statistical information allowing government and private actors to monitor in real-time their workforce objectives. Additionally, this method and system allows for the individual laborer to validate in real-time their work hours otherwise that were not reported.

The present invention extends to methods, systems, and computer program products for integrating healthcare screening with other identity-based functions. In general, components facilitating healthcare screening interoperate with and/or are integrated into other systems, including facility access, identity, time keeping, payroll, etc. Aspects of the invention include using facial recognition to improve healthcare screening and satisfy governmental regulations. A thermal scanner can include a camera and an InfraRed (IR) camera. The thermal scanner can collect a facial image and derive a temperature for a person (e.g., from an IR image). The thermal scanner can also collect or access previously collected healthcare screening questionnaire answers. The collected temperate and healthcare screening questionnaire answers can be used to control access to the facility. For example, the person can be denied access when the collected temperature exceeds a defined temperate threshold and/or healthcare screening questionnaire answers indicate the person may be sick.

A method and system for providing protection to users working in a field are provided. Further, the method may include steps of receiving user data associated with the users from user devices, receiving sensor data associated with the users from sensors comprised in the user devices, analyzing the user data and the sensor data, determining a condition of the users based on the analyzing, comparing the condition with alert triggering conditions based on the determining of the condition, generating alert notifications for the users based on the comparing of the condition with the alert triggering conditions, transmitting the alert notifications to emergency contact devices associated with emergency contacts of the users, and storing the user data, the sensor data, the condition, and the alert notifications.

A method and system for providing protection to users working in a field are provided. Further, the method may include steps of receiving user data associated with the users from user devices, receiving sensor data associated with the users from sensors comprised in the user devices, analyzing the user data and the sensor data, determining a condition of the users based on the analyzing, comparing the condition with alert triggering conditions based on the determining of the condition, generating alert notifications for the users based on the comparing of the condition with the alert triggering conditions, transmitting the alert notifications to emergency contact devices associated with emergency contacts of the users, and storing the user data, the sensor data, the condition, and the alert notifications.

A method, computer system, and computer program product are provided for managing time record events. Time record events are collected for a number of users. Each time record event includes a geolocation of one of a number of users. The time record events and geolocations for each of the number of users are models via machine learning. A current geolocation for a given user is identified. A suggested event is predicted based on the current geolocation and a current time. The suggested event is pushed to the user.

A method, computer system, and computer program product are provided for managing time record events. Time record events are collected for a number of users. Each time record event includes a geolocation of one of a number of users. The time record events and geolocations for each of the number of users are models via machine learning. A current geolocation for a given user is identified. A suggested event is predicted based on the current geolocation and a current time. The suggested event is pushed to the user.