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:
Disclosed here are methods and systems that relate to determining an orientation of an object. The orientation of the object may be represented by an Euler angle which identifies a rotation of the object from a reference frame. The methods and systems may rely on readings collected from two or more barometric pressure sensors to estimate an altitude difference between the pressure sensors. The methods and systems may calculate the Euler angle based on the altitude difference.