Wiliot Ltd.

Ido Zelman

Tsvika Rabkin

Alon Yehezkely

Dotan Ziv

Yaron Elboim

Tal Tamir

Mathieu Hoffmann

Roberto Sandre

Yaroslav Ross

David Lipshitz

Matan Epstein

Shay Moshe

Tal Szpruch

Gidon Azaryev

Amnon Wahle

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.

Determining occupancy level of items placed on a surface using low energy sensing tags

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.

System and method for determining insights from sensing inputs

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.

Detecting material type using low-energy sensing

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Hod Hasharon, Israel

Ido Zelman