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 system and method of detecting a pick-up of an item are provided. The method includes receiving at least one data packet from at least one IoT tag, extracting a frequency word from the at least one received data packet, wherein the frequency word is a measure of the at least one IoT, analyzing the frequency word to determine a pick-up event to be associated with a pick-up of the item attached to the at least one IoT tag, and upon detecting the pick-up event, sending a notification including an identification of the at least one IoT tag, wherein the notification incudes collateral product information associated with the picked-up item attached to the at least one IoT tag, and displaying the collateral product information of the picked-up item on a display on a physical location of the picked-up item.

Abstract: A system and method for detecting a pick-up of an item and processing payment based on the detected pick-up are provided.

Abstract: A system and method for detecting a pick-up of an item and determining analytics based on the detected pick-up. The method includes receiving data packets from a plurality of Internet of Things (IoT) tags, wherein each of the IoT tags is attached to a product, extracting a frequency word from each of the plurality of IoT tags, analyzing each of the extracted frequency words to detect a pick-up event associated with each IoT tag, and determining analytics related to an interest in the product based on the detected pick-up events.

Abstract: A system and method for detecting a pick-up of an item and determining analytics based on the detected pick-up. The method includes receiving data packets from a plurality of Internet of Things (IoT) tags, wherein each of the IoT tags is attached to a product, extracting a frequency word from each of the plurality of IoT tags, analyzing each of the extracted frequency words to detect a pick-up event associated with each IoT tag, and determining analytics related to an interest in the product based on the detected pick-up events.

Abstract: A system and method for detecting a pick-up of an item and processing payment based on the detected pick-up are provided.

Abstract: A system and method of detecting a pick-up of an item are provided. The method includes receiving at least one data packet from at least one IoT tag, extracting a frequency word from the at least one received data packet, wherein the frequency word is a measure of the at least one IoT, analyzing the frequency word to determine a pick-up event to be associated with a pick-up of the item attached to the at least one IoT tag, and upon detecting the pick-up event, sending a notification including an identification of the at least one IoT tag, wherein the notification incudes collateral product information associated with the picked-up item attached to the at least one IoT tag, and displaying the collateral product information of the picked-up item on a display on a physical location of the picked-up item.

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: Described herein are systems, methods and apparatuses that can detect the proximity of an object and differentiate between a human body and a non-human object. The detection and differentiation are facilitated by a first capacitive sensor of a first shape and a second capacitive sensor of a second shape. The detection and determination can be made based on a comparison between a first capacitance from the first sensor and a second capacitance from the second sensor.

Abstract: A measuring circuit connectable to a capacitive touch-sensitive panel, the panel including a plurality of sense electrodes and optionally a common guard electrode, adapted to measure variations in the instantaneous electric capacity of the sense electrodes in response to proximity to conductive bodies, wherein the sense electrodes are biased at a fixed voltage relative to the common guard electrode, the measuring circuit comprising: a power management integrated circuit comprising a voltage source generating a modulation voltage that is available at a guard terminal of the power management integrated circuit that is in electric connection with the guard electrode; one or more slave integrated circuits, each connected to a plurality of sense electrodes and comprising a Capacity-to-Digital converter or a plurality of Capacity-to-Digital converters that are operatively arranged for generating digital measure codes representing the instantaneous electric capacity of sense electrodes; a means for varying the frequ

Abstract: A measuring circuit connectable to a capacitive touch-sensitive panel, the panel including a plurality of sense electrodes and optionally a common guard electrode, adapted to measure variations in the instantaneous electric capacity of the sense electrodes in response to proximity to conductive bodies, wherein the sense electrodes are biased at a fixed voltage relative to the common guard electrode, the measuring circuit comprising: a power management integrated circuit comprising a voltage source generating a modulation voltage that is available at a guard terminal of the power management integrated circuit that is in electric connection with the guard electrode; one or more slave integrated circuits, each connected to a plurality of sense electrodes and comprising a Capacity-to-Digital converter or a plurality of Capacity-to-Digital converters that are operatively arranged for generating digital measure codes representing the instantaneous electric capacity of sense electrodes; a means for varying the frequ

Abstract: Described herein are systems, methods and apparatuses that can detect the proximity of an object and differentiate between a human body and a non-human object. The detection and differentiation are facilitated by a first capacitive sensor of a first shape and a second capacitive sensor of a second shape. The detection and determination can be made based on a comparison between a first capacitance from the first sensor and a second capacitance from the second sensor.