Abstract:
Systems and methods for storefront recognition are provided. A surveyor or other user can access an application implemented on a computing device. A source image of a storefront of an entity can be captured by the surveyor using an image capture device (e.g. a digital camera). A feature matching process can be used to compare the source image against a plurality of candidate images of storefronts in the geographic area and return a list of the candidate images with the closest match. Each candidate image returned by the application can be annotated with a similarity score indicative of the similarity of the source image with the candidate image. The surveyor can use the similarity scores and the candidate images to determine whether the store has been previously investigated. The user can interact with the application to indicate whether the entity seeds to be investigated.
Abstract:
In one aspect, a map is provided for display by one or more computing devices. The map includes a first set of geographic locations. The one or more computing devices receive a zoom request for viewing the map. The one or more computing devices then determine whether a zoom level cutoff has been traversed. If so the one or more computing devices may select a second set of geographic locations, from a hierarchy of geographic locations, to be displayed to the user.
Abstract:
In one aspect, a map is provided for display by one or more computing devices. The map includes a first set of geographic locations. The one or more computing devices receive a zoom request for viewing the map. The one or more computing devices then determine whether a zoom level cutoff has been traversed. If so the one or more computing devices may select a second set of geographic locations, from a hierarchy of geographic locations, to be displayed to the user.