Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: Disclosed herein is a people-counting system that counts people in a given area based on the signals that are emitted by the respective people's mobile devices, such as cell phones. In order to count passively, the system receives and analyzes network probes transmitted by the wireless devices and correlates groups of fake machine identifiers in order to identify a given device. Where this passive approach is unsuccessful, or determined low certainty, an active approach involving data layer packets such as: CTS/RTS, authentication and dissociation packets. Device's response or lack thereof is analyzed to provide further accuracy to a local device count.

Abstract: Mobile device detecting and engaging are described. A server can determine that a mobile device has connected with a wireless network at a physical location. The server can provide a captive portal of the wireless network to the mobile device to receive contact information for the mobile device. The server can then provide a message including information related to the physical location to the mobile device using the contact information.

Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: Disclosed herein is a people-counting system that counts people in a given area based on the signals that are emitted by the respective people's mobile devices, such as cell phones. In order to count passively, the system receives and analyzes network probes transmitted by the wireless devices and correlates groups of fake machine identifiers in order to identify a given device. Where this passive approach is unsuccessful, or determined low certainty, an active approach involving data layer packets such as: CTS/RTS, authentication and dissociation packets. Device's response or lack thereof is analyzed to provide further accuracy to a local device count.

Abstract: Mobile devices emit signals in Bluetooth, Wi-Fi and cellular (i.e. 2G, 3G, 4G, Edge, H+, etc.). These signals attempt to connect to paired devices, hotspots, cell towers, or other suitable wireless connection points to greater networks. In order to connect to connect to hotspots mobile devices send out identifying data to establish a connection. Hotspots may unobtrusively collect the identification data of the mobile device, and then reject the connection request. The hotspots collect data in real time on the mobile device, and by association, the human carrying the mobile device without having alerted or impeded the human carrier. The system uses analytical software to determine, for example, an approaching unique ID user's presence, history, frequency of visits, duration of presence and so on.

Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: Mobile devices emit signals in Bluetooth, Wi-Fi and cellular (i.e. 2G, 3G, 4G, Edge, H+, etc.). These signals attempt to connect to paired devices, hotspots, cell towers, or other suitable wireless connection points to greater networks. In order to connect to connect to hotspots mobile devices send out identifying data to establish a connection. Hotspots may unobtrusively collect the identification data of the mobile device, and then reject the connection request. The hotspots collect data in real time on the mobile device, and by association, the human carrying the mobile device without having alerted or impeded the human carrier. The system uses analytical software to determine, for example, an approaching unique ID user's presence, history, frequency of visits, duration of presence and so on.

Abstract: Mobile devices emit signals in Bluetooth, Wi-Fi and cellular (i.e. 2G, 3G, 4G, Edge, H+, etc.). These signals attempt to connect to paired devices, hotspots, cell towers, or other suitable wireless connection points to greater networks. In order to connect to connect to hotspots mobile devices send out identifying data to establish a connection. Hotspots may unobtrusively collect the identification data of the mobile device, and then reject the connection request. The hotspots collect data in real time on the mobile device, and by association, the human carrying the mobile device without having alerted or impeded the human carrier. The system uses analytical software to determine, for example, an approaching unique ID user's presence, history, frequency of visits, duration of presence and so on.

Abstract: Mobile device detecting and engaging are described. A server can determine that a mobile device has connected with a wireless network at a physical location. The server can provide a captive portal of the wireless network to the mobile device to receive contact information for the mobile device. The server can then provide a message including information related to the physical location to the mobile device using the contact information.

Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: Mobile devices emit signals in Bluetooth, Wi-Fi and cellular (i.e. 2G, 3G, 4G, Edge, H+, etc.). These signals attempt to connect to paired devices, hotspots, cell towers, or other suitable wireless connection points to greater networks. In order to connect to connect to hotspots mobile devices send out identifying data to establish a connection. Hotspots may unobtrusively collect the identification data of the mobile device, and then reject the connection request. The hotspots collect data in real time on the mobile device, and by association, the human carrying the mobile device without having alerted or impeded the human carrier. The system uses analytical software to determine, for example, an approaching unique ID user's presence, history, frequency of visits, duration of presence and so on.