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: A method is performed at an electronic device with a display. The method includes receiving a request from a user to display information about electric vehicle charging stations near a geographic location. The method further includes, in response to the request to display information about electric vehicle charging stations near the geographic location, for a respective charging station near the geographic location: identifying a commercial enterprise co-located with the respective electric vehicle charging station, and displaying, on the display, an indication of the respective electric vehicle charging station. The indication of the respective electric vehicle charging station includes a representation of the co-located commercial enterprise.

Abstract: Techniques are described herein for predicting popularity metrics and/or visitation metrics that are used in the selection of a point of interest (POI) for placement of an electric vehicle charging station (EVCS). The techniques involve training a machine learning model based on information obtained about POIs at which EVCSs are already installed. The information used to train the machine learning model includes, for each existing installation location: (a) visitation data that describes visitation features, and (b) popularity metrics and/or visitation metrics that have been generated for the location. When the machine learning model has been trained, the trained machine learning model predicts popularity metrics and/or visitation metrics for a POI location at which no EVCS has been installed based on the visitation data of that POI.

Abstract: The disclosed embodiments provide a method performed at a computer system that is in communication with an electric vehicle charging station (EVCS). The EVCS includes a camera for obtaining images in a region proximal to the EVCS. The method includes capturing, using the camera, a plurality of images of electric vehicles, each image in the plurality of images being an image of a respective electric vehicle. The method further includes, for each respective image of the plurality of images of electric vehicles: determining, without user intervention, a characteristic of the respective electric vehicle; and tagging, without user intervention, the respective image with the characteristic of the respective electric vehicle. The method further includes training a first machine learning algorithm to identify the characteristic of other electric vehicles using the tagged plurality of images.

Abstract: A charging station for an electric vehicle determines that a first person is in proximity to the charging station and identifies whether the first person is a user of the charging station. In accordance with a determination that the first person is a user of the charging station, the charging station provides, using a first mode for selecting content for users of the charging station, first content for display. The charging station determines that a second person is in proximity to the charging station and identifies whether the second person is a user of the charging station. In accordance with the determination that the second person is not a user of the charging station, the charging station provides, using a second mode for selecting content distinct from the first mode for selecting content, second content for display. The second mode provides content for non-users of the charging station.

Abstract: Systems and methods are described which provide targeted advertisements to a charging station for electric vehicles. A data collector records data associated with individuals near a charging station. A meter determines whether the charging station is being used to charge an electric vehicle. When the charging station is being used, a display displays advertisements targeted to the individuals. The targeted advertisements are selected from a database according to the data recorded by the data collector, and the database stores advertising content with discrete advertising segments that are electronically accessible. A processor is coupled to the data collector, the meter, and the display. The processor transmits the data recorded by the data collector, and receives the targeted advertisements.

Abstract: An electric vehicle (EV) charging station includes a frame and a panel having an interior surface and an exterior surface. The panel is hinged to the frame so as to articulate the panel away from the frame. The panel includes a display facing outwardly from the exterior surface of the panel and mounted on the interior surface of the panel. The EV charging station further includes a computer accessible when the panel is articulated away from the frame, the computer including one or more processors and memory, the memory storing instructions for displaying content on the display.