Wireless fingerprint reconstruction for accurate location confirmation

A method, comprising:

• collecting, by at least one computing device, a plurality of wireless fingerprints associated with a particular location based at least in part on a plurality of item deliveries associated with the particular location, individual wireless fingerprints of the plurality of wireless fingerprints comprising one or more attributes associated with a respective subset of wireless access points of a plurality of wireless access points located within a predefined area of the particular location;
• generating, by the at least one computing device, an attribute prediction model based at least in part on the plurality of wireless fingerprints, the attribute prediction model being configured to estimate one or more missing attributes associated with individual wireless fingerprints of the plurality of wireless access points that are missing from the respective subset of wireless access points of the individual wireless fingerprints;
• modifying, by the at least one computing device, the plurality of wireless fingerprints to include an estimation of the one or more missing attributes for the individual wireless access points missing from the respective subset of wireless access points, the plurality of wireless fingerprints being modified based at least in part on the attribute prediction model;
• generating, by the at least one computing device, a location confirmation model for the particular location based at least in part on the plurality of modified wireless fingerprints;
• and
• confirming an accuracy of a delivery of an item at the particular location based at least in part on the attribute prediction model and the location confirmation model.

A system, comprising:

• a client device;
• and
• at least one application executable in the client device, wherein when executed the at least one application causes the client device to at least:
• collect a plurality of wireless fingerprints associated with a particular location based at least in part on a plurality of item deliveries associated with the particular location, individual wireless fingerprints of the plurality of wireless fingerprints comprising one or more attributes associated with a respective subset of wireless access points of a plurality of wireless access points located within a predefined area of the particular location;
• generate a first wireless fingerprint based at least in part on attribute data associated with a first subset of wireless devices of a plurality of wireless devices associated with a client device location corresponding to the plurality of item deliveries, the first wireless fingerprint missing attribute data for a second subset of wireless devices of the plurality of wireless devices;
• estimate the missing attribute data for the second subset of wireless devices based at least in part on an attribute prediction model, the attribute prediction model being configured to estimate one or more missing attributes associated with individual wireless access points of the plurality of wireless access points that are missing from the respective subset of wireless access points of the individual wireless fingerprints;
• generate a second wireless fingerprint based at least in part on the estimated missing attribute data of the attribute prediction model and the first wireless fingerprint, including an estimation of the one or more missing attributes for the individual wireless access points missing from the respective subset of wireless access points;
• generate a location confirmation model for the particular location based at least in part on the second wireless fingerprint;
• and
• confirm that the client device location is within a predefined area associated with a delivery of an item at the particular location based at least in part on the second wireless fingerprint and the location confirmation model.