Abstract: A method and system for determining locations of internet of things (IoT) tags are provided. The method includes receiving, during a predefined time window, packets from a plurality of gateways, wherein a received packets include at least sensing signals transmitted from the IoT tags; determining an affinity among the IoT tags based on the sensing signals; determining locations of IoT tags based on the determined affinity and the sensing signals, wherein a location of an IoT tag is a probability that an IoT tag is located in proximity to a gateway; and reporting the determined locations to a user terminal.

Abstract: A system and method for detecting material type using low-energy sensing are disclosed. The method includes receiving frequency words from a tag attached to a container containing material, wherein the tag provides a low-energy sensing configured to transmit the frequency words; extracting at least a first data feature from the received frequency words, wherein the first data feature changes in response to a type of material in the container; classifying the extracted data feature to label a type of the material in the container; and sending a notification indicating the type of material in the container.

Abstract: A system and method for determining and monitoring occupancy level of items placed on a surface are provided. The system comprises receiving frequency words from tags placed on the surface, wherein each tag is configured to transmit a plurality of frequency words; extracting at least one data feature from the plurality of frequency words, wherein each data feature changes in response to an item placed in a proximity to a respective tag; determining, based on the extracted at least one data feature from a group of tags placed on the surface and based on at least one baseline, the occupancy level of items placed on the surface; and reporting the determined occupancy level of items.

Abstract: A system and method for tracing vaccine vials are provided. The method includes receiving, from a gateway of a plurality of gateways, frequency words from tags attached to vaccine vials, wherein each tag is configured to transmit a plurality of frequency words; extracting at least one data feature from the plurality of frequency words, wherein each data feature changes in response to a change in a state of a vaccine vial; classifying the extracted data feature based on a machine learning model trained with respect to a location of the gateway, wherein the classifier is trained to label a trace parameter indicative of a state of a vaccine vial; and sending a semantic event indicating a value of the trace parameter.

Abstract: A system and method for detecting material type using low-energy sensing are disclosed. The method includes receiving frequency words from a tag attached to a container containing material, wherein the tag provides a low-energy sensing configured to transmit the frequency words; extracting at least a first data feature from the received frequency words, wherein the first data feature changes in response to a type of material in the container; classifying the extracted data feature to label a type of the material in the container; and sending a notification indicating the type of material in the container.

Abstract: A system and method extracting insights from sensed data are provided. The method includes receiving at least one data packet from at least one IoT tag, extracting at least one parameter from the at least one received data packet, where the parameter is a measure of the at least one IoT tag, identifying patterns from the at least one extracted parameter, and determining an insight based on the identified patterns.

Abstract: A method and apparatus for automated categorization of an interaction between a member of an organization and a second party. The method comprises defining one or more criteria and one or more categories, wherein each category relates to a combination of one or more criteria. The criteria involve data extracted from the interactions as well as external data. Each interaction is checked against the criteria, and is then assigned to one or more categories according to the met criteria. An optional evaluation of the categorization step, and improvement of the categorization if the evaluation results fall below a threshold are disclosed.