Abstract: Systems and methods for detecting doorway tailgating are disclosed. A method includes: determining, by a computer device, a mobile device moves through a doorway to a secure area; determining, by the computer device, a security protocol was not passed for the mobile device to move through the doorway; and generating, by the computer device, an alert based on both the determining the mobile device moves through the doorway to the secure area and the determining the security protocol was not passed.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: generating a first mobile device fingerprint of a mobile device and associating the first mobile device fingerprint to an identifier, and generating a second mobile device fingerprint of the mobile device and associating the second mobile device fingerprint to a MAC address of a mobile device. The methods, computer program products, and systems can include, for instance: receiving a first mobile device fingerprint of a mobile device and an identifier associated to the first mobile device fingerprint; receiving a second mobile device fingerprint of the mobile device and a MAC address associated to the second mobile device fingerprint; and associating received data received from the mobile device to the identifier.

Abstract: Embodiments relate to use of proximity sensors to control a digital interface. More specifically, proximity detection and analysis of the sensors, and translating the proximity into one or more commands is utilized to control the interface. In various embodiments, a system is provided with a set of sensors operatively coupled to a secondary surface. The sensors are in communication with a hub positioned proximal to the sensors. The hub is configured to be in communication with a remote interface. Similarly, the remote interface is configured operatively coupled to a remote physical device (e.g. digital interface). As changes in the sensor position data are measured, the remote interface device communicates an action based on a set of rules. The action is communicated from the interface to the remote physical device and functions to physically transform a functional aspect of the device.

Abstract: A computer-implemented method includes comprises identifying a pointer device associated with a pointer position identifier and a pointer direction identifier. The computer-implemented method further includes identifying a target device associated with a target position indicator and determining whether, within a tolerance margin, the pointer devices points at the target device. A corresponding computer program product and computer system are also disclosed.

Abstract: Embodiments relate to use of proximity sensors to control a digital interface. More specifically, proximity detection and analysis of the sensors, and translating the proximity into one or more commands is utilized to control the interface. In various embodiments, a system is provided with a set of sensors operatively coupled to a secondary surface. The sensors are in communication with a hub positioned proximal to the sensors. The hub is configured to be in communication with a remote interface. Similarly, the remote interface is configured operatively coupled to a remote physical device (e.g. digital interface). As changes in the sensor position data are measured, the remote interface device communicates an action based on a set of rules. The action is communicated from the interface to the remote physical device and functions to physically transform a functional aspect of the device.

Abstract: Embodiments relate to use of proximity sensors to control a digital interface. More specifically, proximity detection and analysis of the sensors, and translating the proximity into one or more commands is utilized to control the interface. In various embodiments, a system is provided with a set of sensors operatively coupled to a secondary surface. The sensors are in communication with a hub positioned proximal to the sensors. The hub is configured to be in communication with a remote interface. Similarly, the remote interface is configured operatively coupled to a remote physical device (e.g. digital interface). As changes in the sensor position data are measured, the remote interface device communicates an action based on a set of rules. The action is communicated from the interface to the remote physical device and functions to physically transform a functional aspect of the device.

Abstract: Systems and methods for detecting doorway tailgating are disclosed. A method includes: determining, by a computer device, a mobile device moves through a doorway to a secure area; determining, by the computer device, a security protocol was not passed for the mobile device to move through the doorway; and generating, by the computer device, an alert based on both the determining the mobile device moves through the doorway to the secure area and the determining the security protocol was not passed.

Abstract: Embodiments relate to use of proximity sensors to control a digital interface. More specifically, proximity detection and analysis of the sensors, and translating the proximity into one or more commands is utilized to control the interface. In various embodiments, a system is provided with a set of sensors operatively coupled to a secondary surface. The sensors are in communication with a hub positioned proximal to the sensors. The hub is configured to be in communication with a remote interface. Similarly, the remote interface is configured operatively coupled to a remote physical device (e.g. digital interface). As changes in the sensor position data are measured, the remote interface device communicates an action based on a set of rules. The action is communicated from the interface to the remote physical device and functions to physically transform a functional aspect of the device.

Abstract: Embodiments relate to use of proximity sensors to control a digital interface. More specifically, proximity detection and analysis of the sensors, and translating the proximity into one or more commands is utilized to control the interface. In various embodiments, a system is provided with a set of sensors operatively coupled to a secondary surface. The sensors are in communication with a hub positioned proximal to the sensors. The hub is configured to be in communication with a remote interface. Similarly, the remote interface is configured operatively coupled to a remote physical device (e.g. digital interface). As changes in the sensor position data are measured, the remote interface device communicates an action based on a set of rules. The action is communicated from the interface to the remote physical device and functions to physically transform a functional aspect of the device.

Abstract: Systems and methods for detecting doorway tailgating are disclosed. A method includes: determining, by a computer device, a mobile device moves through a doorway to a secure area; determining, by the computer device, a security protocol was not passed for the mobile device to move through the doorway; and generating, by the computer device, an alert based on both the determining the mobile device moves through the doorway to the secure area and the determining the security protocol was not passed.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: generating a first mobile device fingerprint of a mobile device and associating the first mobile device fingerprint to an identifier, and generating a second mobile device fingerprint of the mobile device and associating the second mobile device fingerprint to a MAC address of a mobile device. The methods, computer program products, and systems can include, for instance: receiving a first mobile device fingerprint of a mobile device and an identifier associated to the first mobile device fingerprint; receiving a second mobile device fingerprint of the mobile device and a MAC address associated to the second mobile device fingerprint; and associating received data received from the mobile device to the identifier.

Abstract: Embodiments relate to use of proximity sensors to control a digital interface. More specifically, proximity detection and analysis of the sensors, and translating the proximity into one or more commands is utilized to control the interface. In various embodiments, a system is provided with a set of sensors operatively coupled to a secondary surface. The sensors are in communication with a hub positioned proximal to the sensors. The hub is configured to be in communication with a remote interface. Similarly, the remote interface is configured operatively coupled to a remote physical device (e.g. digital interface). As changes in the sensor position data are measured, the remote interface device communicates an action based on a set of rules. The action is communicated from the interface to the remote physical device and functions to physically transform a functional aspect of the device.

Abstract: Embodiments relate to use of proximity sensors to control a digital interface. More specifically, proximity detection and analysis of the sensors, and translating the proximity into one or more commands is utilized to control the interface. In various embodiments, a system is provided with a set of sensors operatively coupled to a secondary surface. The sensors are in communication with a hub positioned proximal to the sensors. The hub is configured to be in communication with a remote interface. Similarly, the remote interface is configured operatively coupled to a remote physical device (e.g. digital interface). As changes in the sensor position data are measured, the remote interface device communicates an action based on a set of rules. The action is communicated from the interface to the remote physical device and functions to physically transform a functional aspect of the device.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: generating a first mobile device fingerprint of a mobile device and associating the first mobile device fingerprint to an identifier, and generating a second mobile device fingerprint of the mobile device and associating the second mobile device fingerprint to a MAC address of a mobile device. The methods, computer program products, and systems can include, for instance: receiving a first mobile device fingerprint of a mobile device and an identifier associated to the first mobile device fingerprint; receiving a second mobile device fingerprint of the mobile device and a MAC address associated to the second mobile device fingerprint; and associating received data received from the mobile device to the identifier.

Abstract: Embodiments of the present invention provide a method, system and computer program product for dynamically determining dwell times in a zone of a retail setting. In an embodiment of the invention, a method for dynamically determining dwell times in a zone of a retail setting includes defining different zones of a retail setting in memory of a host computing system and establishing a different dwell time for each of the different zones. The method additionally includes observing footfall in each of the different zones for different individuals in order to compute an actual dwell time for each individual in a particular one of the different zones. Finally, the method includes re-establishing the different dwell time for each of the different zones based upon the observed footfall.

Abstract: Determining a beacon interval in which a device, located within a venue having a plurality of predefined zones, sends a beacon to a system for tracking the location of the device within the venue. Each of the predefined zones has a zone-specific beacon interval which is updated.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: generating a first mobile device fingerprint of a mobile device and associating the first mobile device fingerprint to an identifier, and generating a second mobile device fingerprint of the mobile device and associating the second mobile device fingerprint to a MAC address of a mobile device. The methods, computer program products, and systems can include, for instance: receiving a first mobile device fingerprint of a mobile device and an identifier associated to the first mobile device fingerprint; receiving a second mobile device fingerprint of the mobile device and a MAC address associated to the second mobile device fingerprint; and associating received data received from the mobile device to the identifier.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: generating a first mobile device fingerprint of a mobile device and associating the first mobile device fingerprint to an identifier, and generating a second mobile device fingerprint of the mobile device and associating the second mobile device fingerprint to a MAC address of a mobile device. The methods, computer program products, and systems can include, for instance: receiving a first mobile device fingerprint of a mobile device and an identifier associated to the first mobile device fingerprint; receiving a second mobile device fingerprint of the mobile device and a MAC address associated to the second mobile device fingerprint; and associating received data received from the mobile device to the identifier.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: generating a first mobile device fingerprint of a mobile device and associating the first mobile device fingerprint to an identifier, and generating a second mobile device fingerprint of the mobile device and associating the second mobile device fingerprint to a MAC address of a mobile device. The methods, computer program products, and systems can include, for instance: receiving a first mobile device fingerprint of a mobile device and an identifier associated to the first mobile device fingerprint; receiving a second mobile device fingerprint of the mobile device and a MAC address associated to the second mobile device fingerprint; and associating received data received from the mobile device to the identifier.

Abstract: Determining a beacon interval in which a device, located within a venue having a plurality of predefined zones, sends a beacon to a system for tracking the location of the device within the venue. Each of the predefined zones has a zone-specific beacon interval which is updated.