Honeywell International Inc.

Hand Held Products, Inc.

Ademco Inc.

Adam Dewey McBrady

Stephan M Bork

Andy Walker Brown

Alex Gu

Teresa M Marta

Moin Shafai

Giorgio Carlo Isella

Wei Yang

Michael L Rhodes

Gennady Germaine

Fouad Nusseibeh

Thomas Merritt Haggerty

Philip C Foster

Aoife Celoria

Dustin Michael Brandt

Amanda Esther Sall Childers

Emir Rahislic

Jose Guadalupe Sanchez De La Rosa

Oscar Ponte Rivas

Robert E Higashi

Terry Marta

Tong Shang

Ryadh Abdullah Zakaria

Ulrich Bonne

Steven J Eickhoff

Brad Alan Terlson

Andrzej Peczalski

Roland Andrew Wood

J David Zook

Tariq Samad

Matthew S Marcus

Thomas M Rezachek

Jason L Ableitner

Karen Marie Newstrom-Peitso

Lauren M Seymour

Charles N Hoff

Oscar Ponte

Grant Wood

Amrita G Khemchandani

Moin S Shafai

Alex Freeman

Andrew Smith

Chris Ohlsen

Jose Guadalupe Sanchez

A flow device, method, and system are provided for determining the fluid particle composition. An example flow device includes a fluid sensor configured to monitor at least one particle characteristic of fluid flowing through the fluid sensor. The example flow device also includes at least one processor configured to, upon determining the at least one particle characteristic satisfies a particle criteria, generate a control signal for an external device. The example flow device also includes a fluid composition sensor configured to be powered based on the control signal and further configured to capture data relating to the fluid particle composition. The example flow device is also configured to generate one or more particle profiles of at least one component of the fluid based on the data captured by the fluid composition sensor.

Flow device and associated method and system

Apparatus and associated methods relate to an automatic ordering method including a network-connected machine-readable code scanner identifying a product, and a network-connected weigh scale identifying a current weight of the product, the method further triggering an automatic order process when the current weight crosses a predetermined threshold. In an illustrative example, the automatic order process may send a signal to a user's network-connected personal device containing a notification that the product's current weight has crossed the predetermined threshold. The user may be presented one or more options, for example, regarding product purchase. In some examples, user setup selections may provide input to a function that determines the predetermined weight threshold. Various examples may include a network server. Online merchants providing online ordering of the product may also connect to the network server, for example. Various automatic ordering methods may advantageously facilitate and/or promote just-in-time delivery of consumable products.

Automatic ordering method

Apparatus and associated methods relate to a particulate matter (PM) sensor assembly receiving a PM count value from an optical pulse counting sensor and selectively calibrating the sensor characteristics in response to recent published high-accuracy air-quality information within a local region that contains the sensor assembly. In an illustrative example, the air-quality information may be generated by various PM monitoring stations and published in data streams or collections, for example. The sensor assembly may select, for example, a specific regional PM mass density reference value from the received air-quality information associated with location information of the sensor assembly. Based on the published air-quality information, the sensor assembly may select a calibration curve from, for example, a set of predetermined calibration curves. A mobile low-cost PM sensor assembly, may advantageously leverage high-cost published PM air-quality information to dynamically improve accuracy in local PM measurement.

Network assisted particulate matter sensor

Apparatus and associated methods relate to the determination of local environmental air quality by processing data from a local device sensing a user's respiration-vocalization. In an illustrative example, respiration-vocalization for a CPAP user may be sensed by an airflow and/or air pressure sensor. Respiratory disturbance events, such as coughing, for example, may be detected. The sensed events, converted to respiration-vocalization data, may be collected to estimate the environmental air quality and/or particle density around the user. Some examples may estimate specific allergen concentrations by correlating user respiration-vocalization data with the respiration-vocalization data from users/patients with known airborne particle sensitivities. In some embodiments, regional environmental air quality data may be compared with respiration-vocalization data to produce local environmental air quality results. Various results may advantageously indicate specific allergen conditions in an area based on monitoring of a population of users of CPAP machines or other devices in widespread use.

Respiration-vocalization data collection system for air quality determination

Methods, apparatuses, devices, and computer program products are disclosed for improved sanitization. An example device includes a sanitizing element that outputs a sanitizing agent. The device also includes a scanning device that generates scanning data of the physical form of the object. The device further includes a controller operatively coupled to the sanitizing element and the scanning device. The controller determines the output of the sanitizing agent during operation of the scanning device, receives the scanning data generated by the scanning device, and determines one or more areas of the object failing to receive sufficient contact with the sanitizing agent based upon the scanning data and sanitizing agent output.

Apparatuses and methods for improved sanitization

Apparatus and associated methods relate to an automatic ordering method including a network-connected machine-readable code scanner identifying a product, and a network-connected weigh scale identifying a current weight of the product, the method further triggering an automatic order process when the current weight crosses a predetermined threshold. In an illustrative example, the automatic order process may send a signal to a user's network-connected personal device containing a notification that the products current weight has crossed the predetermined threshold. The user may be presented one or more options, for example, regarding product purchase. In some examples, user setup selections may provide input to a function that determines the predetermined weight threshold. Various examples may include a network server. Online merchants providing online ordering of the product may also connect to the network server, for example. Various automatic ordering methods may advantageously facilitate and/or promote just-in-time delivery of consumable products.

Automatic ordering apparatus

A fluid sensing apparatus and method for detecting pressure and a presence of a bubble within a fluid tube. The fluid sensing apparatus comprises a housing configured to receive a portion of the fluid tube and to house a pressure sensor and an ultrasonic transmitter. The pressure sensor is positioned adjacent the fluid tube and is configured to receive a pressure sensor signal, which correlates to a detected pressure differential within the fluid tube. A controller transmits a drive signal to the ultrasonic transmitter, which emits ultrasonic waves through a portion of the fluid tube and to the pressure sensor. The pressure sensor receives both the ultrasonic waves and the pressure sensor signal, and subsequently transmits an output signal to the controller. In a presence of the detected pressure differential or the bubble within the fluid tube, the output signal will exhibit a DC shift or a distortion of signal characteristics of the output signal, respectively.

Fluid sensor

Methods, apparatuses, and systems associated with aerosol collection devices (such as, but not limited to, breath-aerosol collector devices, breathalyzers) are provided. An example aerosol collection device includes a sample transfer adapter configured to receive a sample and a device body connected to the sample transfer adapter. In some examples, the device body defines a flow channel that guides the sample to a filter component, and the filter component contains a buffer solution.

Apparatuses, systems, and methods for sample capture and extraction

Various embodiments described herein relate to apparatuses and methods for detecting fluid particles and their characteristics. In various embodiments, a device for detecting fluid particles and their characteristics may comprise a fluid composition sensor configured to receive a volume of fluid. The fluid composition sensor has a collection media housing configured to receive a portion of a collection media, a pump for moving a volume of fluid over the collection media housing, an imaging device configured to capture an image of particles on the collection media, and a particle matter mass concentration calculation circuitry configured to calculate a total particle matter mass. The particle matter mass concentration calculation circuitry is connected with the imaging device and the pump. The particle matter mass concentration calculation circuitry is configured to adjust the volume of fluid over the collection media housing.

Fluid composition sensor device and method of using the same

Mask

A fluid sensing apparatus and a method for detecting pressure and a presence of bubbles within a fluid tube. The fluid sensing apparatus comprises a housing configured to receive a portion of the tube and to house a pressure sensor and an ultrasonic transmitter. The pressure sensor is positioned adjacent the tube and is configured to receive a pressure sensor signal, which correlates to a detected pressure differential within the tube. A controller transmits a drive signal to the ultrasonic transmitter, which emits ultrasonic waves through the portion of the tube and to the pressure sensor. The pressure sensor receives both the ultrasonic waves and the pressure sensor signal, and subsequently transmits an output signal to the controller. In a presence of a pressure differential or a bubble within the tube, the output signal will exhibit a DC shift or a distortion of signal characteristics of the output signal, respectively.

A device and a method for detecting fluid particle characteristics. The device comprises a fluid composition sensor configured to receive a volume of fluid and a controller. The fluid composition sensor comprises a collection media configured to receive one or more particles of a plurality of particles within the fluid; and an imaging device configured to capture an image of one or more particles of the plurality of particles received by the collection media. The controller is configured to determine a particle impaction depth of each of the one or more particles of the plurality of particles within the collection media; and, based at least in part on the particle impaction depth of each of the one or more particles of the plurality of particles, determine a particulate matter mass concentration within the volume of fluid.

Particle mass characteristics determining device and method

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Minneapolis, MN, United States of America

Adam Dewey McBrady