Lyten, Inc.

John Chmiola

Bruce Lanning

Michael Wayne Stowell, Jr

Sung Hyun Lim

Shreeyukta Singh

Daniel Cook

Carlos Montalvo

George Clayton Gibbs

Kyle Matthys

Karel Vanheusden

Jacques F Nicole

Shriyukta Singh

Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Reconfiguring a second type of sensor based on sensing data of a first type of sensor

Disclosed herein is a sensors-as-a-service ecosystem. In use, the system includes functions for receiving first sensor data at a sensors as a service platform, where the first sensor data corresponds to a first level of capabilities for a first sensor. The system also receives a selection of a sensor upgrade for the first sensor and provisions enhanced sensor capabilities for the sensor upgrade based on the selection. Furthermore, the system sends a sensor update with the enhanced sensor capabilities from the sensors as a service platform to the first sensor. Finally, the system receives second sensor data from the first sensor at the sensors as a service platform, where the second sensor data corresponds to a second level of capabilities for the first sensor.

Configuration of wearable sensors based on a sensors-as-a-service platform

A battery-powered analyte sensing system includes a printed battery and an analyte sensor. The printed battery includes an anode composed of a non-toxic biocompatible metal, a first carbon-based current collector in electrical contact with the anode, a three-dimensional hierarchical mesoporous carbon-based cathode, a second carbon-based current collector, and an electrolyte layer disposed between the anode and the cathode, the electrolyte layer configured to activate the printed battery when the electrolyte is released into one or both the anode and the cathode. The analyte sensor includes a sensing material and a reactive chemistry additive in the sensing material.

Multi-part nontoxic printed batteries

A container for storing one or more items is disclosed. The container may include a surface defining a volume of the container and a label printed on the container. In various implementations, the label includes a substrate, a plurality of carbon-based sensors printed on the substrate, and one or more electrodes printed on the substrate. The sensors may be collectively configured to detect a presence of one or more analytes within the container. Each sensor may be configured to react with a unique group of analytes in response to an electromagnetic signal received from an external device. The electrodes may be configured to provide one or more output signals indicating the presence or absence of the one or more analytes within the container.

Container including analyte sensing device

A battery system comprising: an anode composed of a non-toxic biocompatible metal; a first printable carbon-based current collector comprising biocompatible multiple few layer graphene (FLG) sheets in electrical contact with and extending from the anode; a three-dimensional (3D) hierarchical mesoporous carbon-based cathode including an open porous structure configured to catalyze an active material via gas diffusion; a polymer-based barrier film deposited on the 3D hierarchical mesoporous carbon-based cathode, the polymer-based barrier film configured to prevent oxygen from entering the open porous structure while deposited on the 3D hierarchical mesoporous carbon-based cathode; a second printable carbon-based current collector comprising biocompatible multiple few layer graphene (FLG) sheets in electrical contact with and extending from the cathode; and an electrolyte layer disposed between the anode and the cathode, the electrolyte layer configured to activate the battery system when released into one or both of the anode and the cathode.

This disclosure provides a sensor for detecting an analyte. The sensor can include an antenna and sensing material both disposed on a substrate, where the sensing is electrically coupled to the antenna. The sensing material can include a carbon structure including a multi-modal distribution of pore sizes that define a surface area including bonding sites configured to interact with one or more additives and the analyte. The carbon structure is configured to generate a resonant signal indicative of one or more characteristics of the analyte in response to an electromagnetic signal. The carbon structure can include distinctly sized interconnected channels defined by the surface area and configured to be infiltrated by the analyte, and exposed surfaces configured to adsorb the analyte. Each of the interconnected channels can include microporous pathways and/or mesoporous pathways, which can increase a responsiveness of the sensing material proportionate to the analyte within the carbon structure.

Resonant gas sensor

A method for detecting an analyte comprises providing a first carbon-based material comprising reactive chemistry additives, providing conductive electrodes connected to the first carbon-based material, exposing the first carbon-based material to an analyte, applying a plurality of alternating currents having a range of frequencies across the conductive electrodes, and measuring the complex impedance of the first carbon-based material using the plurality of alternating currents.

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San Francisco, CA, United States of America

John Chmiola