US 11,869,014 B2
Physical proximity graphing
Prithvi Krishnan Padmanabhan, San Ramon, CA (US); and Amanda Grady, San Carlos, CA (US)
Assigned to Salesforce, Inc., San Francisco, CA (US)
Filed by Salesforce, Inc., San Francisco, CA (US)
Filed on Jan. 21, 2021, as Appl. No. 17/154,619.
Claims priority of provisional application 63/032,391, filed on May 29, 2020.
Prior Publication US 2021/0374759 A1, Dec. 2, 2021
Int. Cl. G06Q 30/00 (2023.01); G06T 11/20 (2006.01); H04W 4/021 (2018.01); G06Q 30/01 (2023.01); G06F 3/0482 (2013.01)
CPC G06Q 30/01 (2013.01) [G06T 11/206 (2013.01); H04W 4/021 (2013.01); G06F 3/0482 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for physical proximity graphing, comprising:
identifying location information for a first plurality of humans corresponding to a first time period, wherein the location information is based at least in part on an indication that a human is located within a premise during the first time period;
causing to display, at a first device operated by a first human of the first plurality of humans, a list of humans from the first plurality of humans based at least in part on the location information for the first plurality of humans;
receiving, from the first device, a user input to the first device that selects a second plurality of humans, from the list of humans, who were within a proximity threshold with the first human during the first time period;
storing a hashed identifier and an indication of the first time period for the first human and for each human of the selected second plurality of humans;
generating a graph comprising the hashed identifier for the first human and for each human of the selected second plurality of humans based at least in part on the user input;
identifying a set of instances of humans being within the proximity threshold, within a time window that includes the first time period, for a set of humans from the first plurality of humans based at least in part on the graph; and
sending a message to one or more devices operated by one or more humans of the set of humans based at least in part on identifying the set of instances.