Abstract: The disclosed embodiments provide systems and methods for transmitting beacon signals that are associated with media content. A kiosk displays first media content on the electronic display. The kiosk transmits, at a radio frequency using a wireless transmitter of the kiosk, a first beacon signal that includes an identifier of the first media content. The kiosk replaces display of the first media content with display of second media content on the display. Upon replacing display of the first media content with the second media content, the kiosk transmits, at the radio frequency using the wireless transmitter, a second beacon signal that includes an identifier of the second media content, distinct from the identifier of the first media content.

Abstract: Systems and methods are provided herein for detecting a collision event and taking measures to reduce resulting damage and injury. This may be accomplished by an electric vehicle charging station (EVCS) receiving power from a first power source, wherein the EVCS uses the power to charge an electric vehicle. The EVCS can use a sensor to detect an object within a threshold distance of the EVCS. The EVCS can use the information collected by the sensor to determine if the object will contact the EVCS. If the EVCS determines that the object will contact the EVCS the EVCS can take measures (e.g., stop receiving power from the power source) to reduce damage and/or injury.

Abstract: Systems and methods are provided herein for monitoring an electric vehicle using an electric vehicle charging station (EVCS). This may be accomplished by an EVCS charging an electric vehicle, wherein the electric vehicle is associated with a profile. The EVCS may then receive a request from a user device, wherein the profile associates the user device with the electric vehicle. The request may request an image and/or video of the electric vehicle. In response to the request, the EVCS can transmit an image and/or video to the user device.

Abstract: Systems and methods are provided herein for providing a method for better allocation of EVCS services. This may be accomplished by an electric vehicle charging station (EVCS) updating a status of a parking space associated with the EVCS. For example, when the EVCS is charging an electric vehicle, the status of the parking space may be “occupied.” After the electric vehicle leaves the parking space, the EVCS may update the status of the parking space to “available.” The EVCS may also transmit the parking space status to electric vehicles requiring charging.

Abstract: Systems and method for charging the battery of an electric vehicle (EV) and climatically controlling the inside cabin of the electric vehicle are described. The methods include detecting that an EV is electrically connected to a charging station and then determining the current temperature inside the EV. Climatic user preferences can be retrieved and used to determine a desired climate inside the cabin when the user returns to the vehicle. Using the desired climate inside the cabin to determine an estimated charge, where the estimated charge is sufficient to both obtain the desired climate inside the cabin by the time the users return and have the battery of the vehicle charged to an acceptable level.

Abstract: Systems and methods are provided herein for identifying the status of an electric vehicle charging station’s (EVCS) parking space. This may be accomplished by an EVCS detecting an electric vehicle in a parking space using one or more sensors. The EVCS can use the one or more sensors to receive user information relating to the detected electric vehicle. The EVCS can then determine a status (e.g., “Occupied,” “Soon to be occupied,” “Available,” “Soon to be available,” etc.) of the parking space using the received user information. The EVCS then transmits the status to a device (e.g., server, smartphone, etc.).

Abstract: Systems and methods are provided herein for delivering items using an electric vehicle charging station (EVCS) system. The EVCS system may comprise an EVCS for charge electric vehicles. The EVCS system may also comprise a delivery vehicle removably coupled to the EVCS. The EVCS may have a compartment and/or shelf designed to house the delivery vehicle. Upon receipt of a delivery request, the delivery vehicle departs from the EVCS and transports items (e.g., batteries, charges, purchases, etc.) to one or more users.

Abstract: Systems and methods are provided herein for charging an electric vehicle based on the inferred dwell time of a user of the electric vehicle. This may be accomplished by an electric vehicle charging station (EVCS) receiving a request from a user to charge an electric vehicle. The EVCS can use the request to identify a profile associated with the user, wherein the profile comprises user information related to the user. The EVCS then estimates a dwell time for the user using the user information. The EVCS can use the dwell time to estimate a total charge time for the electric vehicle. The EVCS then charges the electric vehicle based on the estimated charge time.

Abstract: Systems and methods are provided herein for administering services (e.g., charging rates, charging costs, user experiences, etc.) to an electric vehicle based on a characteristic of the electric vehicle. This may be accomplished by an electric vehicle charging station (EVCS) charging an electric vehicle and using one or more sensors to capture information about the electric vehicle. The EVCS can using the captured information to determine a characteristic of the electric vehicle. The EVCS can then use the determined characteristic of the electric vehicle to administer a service. For example, an EVCS may capture an image of an electric vehicle and use image recognition to determine the model (i.e., vehicle characteristic) of the electric vehicle. The EVCS can then charge the electric vehicle using a first charging rate (i.e., service) based on the model of the electric vehicle.

Abstract: Systems and methods are provided herein for administering services (e.g., charging rates, charging costs, user experiences, etc.) to an electric vehicle based on a characteristic of the electric vehicle. This may be accomplished by an electric vehicle charging station (EVCS) charging an electric vehicle and using one or more sensors to capture information about the electric vehicle. The EVCS can using the captured information to determine a characteristic of the electric vehicle. The EVCS can then use the determined characteristic of the electric vehicle to administer a service. For example, an EVCS may capture an image of an electric vehicle and use image recognition to determine the model (i.e., vehicle characteristic) of the electric vehicle. The EVCS can then charge the electric vehicle using a first charging rate (i.e., service) based on the model of the electric vehicle.

Abstract: A device detects, using at least one camera, a human subject at a position within a first field of view relative to a first side of at least two sides of a device, the first side displaying first content on a first display of the first side. In response to detecting the human subject at the position within the first field of view, the device generates a first type of impression count for the human subject and tracks, using the camera, motion of the human subject. In accordance with a determination that the human subject moves from the position within the first field of view to a position within a second field of view relative to a second side of the at least two sides, the device updates the first type of impression count to a second type of impression count and stores the respective type of impression count.

Abstract: A control system includes a server computing device and a control hub. The control hub is in communication with the server computing device and with a distributed network of telematics devices and a wireless communication device physically located at a property. Each telematics device includes a sensor and collects sensor data representing utility consumption. The wireless communication device collects wireless pairing data including timestamps associated with wireless pairing of the wireless communication device with any user computing device. The control hub receives sensor data and wireless pairing data, and transmits the same to the server computing device, which processes the received data to associate portions of an overall utility usage at the property with a presence of user computing devices, and displays, within a graphical user interface of an application executed on each user computing device, the portion of utility usage associated with the presence of that user computing device.

Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.

Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.

Abstract: The disclosed embodiments provide systems and methods for transmitting beacon signals that are associated with media content. A kiosk displays first media content on the electronic display. The kiosk transmits, at a radio frequency using a wireless transmitter of the kiosk, a first beacon signal that includes an identifier of the first media content. The kiosk replaces display of the first media content with display of second media content on the display. Upon replacing display of the first media content with the second media content, the kiosk transmits, at the radio frequency using the wireless transmitter, a second beacon signal that includes an identifier of the second media content, distinct from the identifier of the first media content.

Abstract: The disclosed implementations provide systems and methods for tracking a user device. The method includes receiving, from a respective application running on a first electronic device associated with a user, a request initiated by the user to affiliate with a second electronic device. In response to the request by the user to affiliate with the second electronic device, the method includes determining a wireless identifier of the first electronic device. After determining the wireless identifier of the first electronic device, the method includes receiving an indication that a second wireless access point, distinct from the first wireless access point, is in communication with the first electronic device of the user based on the second wireless access point detecting the wireless identifier of the first electronic device. The method further includes determining that the first electronic device of the user is proximal to the second wireless access point.

Abstract: The disclosed embodiments provide systems and methods for retracting a charging cable at an electric vehicle charging station (EVCS). The EVCS includes a housing, a charging cable configured to provide an electric current to charge a battery of an electric vehicle, a sensor for detecting whether external objects are within a predefined region proximal to the housing, a motor configured to retract at least a portion of the charging cable, and a controller electrically coupled to both the sensor and the motor. The method includes energizing the motor, via the controller, to retract at least a portion of the charging cable when retraction criteria are met. The retraction criteria include criteria that are met when the charging cable is not coupled to a vehicle and the one or more sensors do not detect an external object in the predefined region proximal to the housing.

Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.

Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.

Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.