Privacy-preserving behavior detection

At least one non-transitory machine accessible storage medium having instructions stored thereon, wherein the instructions, when executed on a machine, cause the machine to:

• identify a plurality of radio signals received by a sensor from one or more transmitters;
• detect a proximity of one or more assets based on the plurality of radio signals, wherein the one or more assets are associated with the one or more transmitters;
• identify the one or more assets based on an identity of the one or more transmitters, wherein each transmitter is associated with a particular asset;
• identify a plurality of signal characteristics associated with the plurality of radio signals;
• detect a proximity of a human based on the plurality of signal characteristics;
• and
• detect one or more human-asset interactions based on the plurality of signal characteristics, wherein the one or more human-asset interactions are detected based on a machine learning model, wherein the machine learning model is trained to recognize different human-asset interactions based on the plurality of signal characteristics.

A system, comprising:

• one or more transmitters to transmit a plurality of radio signals, wherein the one or more transmitters are associated with one or more assets;
• one or more sensors to detect the plurality of radio signals from the one or more transmitters;
• and
• a processor to:
• identify the plurality of radio signals detected by the one or more sensors;
• detect a proximity of the one or more assets based on the plurality of radio signals;
• identify the one or more assets based on an identity of the one or more transmitters, wherein each transmitter is associated with a particular asset;
• identify a plurality of signal characteristics associated with the plurality of radio signals;
• detect a proximity of a human based on the plurality of signal characteristics;
• and
• detect one or more human-asset interactions based on the plurality of signal characteristics, wherein the one or more human-asset interactions are detected based on a machine learning model, wherein the machine learning model is trained to recognize different human-asset interactions based on the plurality of signal characteristics.

A method, comprising:

• identifying a plurality of radio signals received by a sensor from one or more transmitters;
• detecting a proximity of one or more assets based on the plurality of radio signals, wherein the one or more assets are associated with the one or more transmitters;
• identifying the one or more assets based on an identity of the one or more transmitters, wherein each transmitter is associated with a particular asset;
• identifying a plurality of signal characteristics associated with the plurality of radio signals;
• detecting a proximity of a human based on the plurality of signal characteristics;
• and
• detecting one or more human-asset interactions based on the plurality of signal characteristics, wherein the one or more human-asset interactions are detected based on a machine learning model, wherein the machine learning model is trained to recognize different human-asset interactions based on the plurality of signal characteristics.