US 12,225,605 B2
Object attribution derivation via crowd-sourced optical sensors
Craig M. Trim, Ventura, CA (US); Mauro Marzorati, Lutz, FL (US); Zachary A. Silverstein, Jacksonville, FL (US); and Martin G. Keen, Cary, NC (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Feb. 28, 2020, as Appl. No. 16/804,534.
Prior Publication US 2021/0274576 A1, Sep. 2, 2021
Int. Cl. H04W 76/14 (2018.01); G16Y 20/40 (2020.01); H04W 48/12 (2009.01)
CPC H04W 76/14 (2018.02) [H04W 48/12 (2013.01); G16Y 20/40 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A processor-implemented method, the method comprising:
receiving, by a processor associated with a broad beacon, an impulse;
transmitting a request to each client device within a preconfigured distance through the broad beacon based on the received impulse;
in response to an acceptance of the transmitted request by a user associated with a client device, establishing a data connection between the client device and an aimable beacon;
transmitting information to identify an asset as a subject of photographic capture from the aimable beacon to the client device;
receiving an image of the subject captured by the user based on the received information; and
in response to receiving a preconfigured number of images of the subject being uploaded, generating a report documenting a status of the subject based on the images.