Honeywell International Inc.

Neal Anthony Muggleton

James Z Liu

Peter C Hsi

Swapnil Gopal Patil

John Jenkins

May Bridget Wilson

Praveen Sharma

Trym Holter

Viggo Henriksen

Thomas Negre

Edukondalu Yarlagadda

Aleks Todorovic

Claes Haglund

Jan Riha

Martin Konecny

Jakub Hladik

Mohammed Ibrahim Mohideen

Liana Maria Kiff

Chinmaya Kar

Kushagra Thakur

Ashok Giri

Kuldeep Sharma

Rachana K J

Sudeesh Thatha

Sudhir Kamath

Vishnu Vardhan

Praveen Galagali

Pierre Van Neste

Venkata Subbaiah Y

Apparatuses, methods, and computer program products for safety compliance determinations are provided. An example method includes receiving three-dimensional (3D) image data indicative of a field of view of a 3D imager that includes a first user upon which to perform a compliance determination. The method further includes generating a fit parameter associated with a safety device of the first user within the field of view of the 3D imager based upon the 3D image data, the fit parameter indicative of an associated positioning of the safety device relative to the first user. The method also includes comparing the fit parameter with a compliance threshold associated with the safety device and generating an alert signal in an instance in which the fit parameter fails to satisfy the compliance threshold. In some instances, the method may supply the 3D image data to an artificial neural network to generate the fit parameter.

Apparatuses, methods, and computer program products for safety compliance determinations

A method of limiting noise damage to an individual includes receiving, by an ototoxicity application stored in a non-transitory memory and executed on a processor, a first individual exposure level to a first oto-toxic condition in an area, correlating the first individual exposure level to an ototoxic effect, determining a noise level threshold based on the correlating, receiving a noise level exposure in the area, comparing the noise level threshold with the noise level exposure, and sending an alert when the noise level exposure exceeds the noise level threshold. The noise level threshold is below a standard noise level threshold.

Multi-sensor input analysis for improved safety

A hearing protection device configured to measure the noise exposure of a user and to provide a time remaining estimate until a maximum noise exposure level is achieved. Generally, the hearing protection device may comprise a sound sealing section, a microphone configured to generate a detected sound signal indicative of the measured sound level at the user's ear canal, a memory/storage configured to record the detected sound signal as sound exposure history, a timer configured to measure the amount of time the hearing protection device is exposed to sound, and a processor configured to receive a timer signal from the timer and the detected sound signal to calculate a time remaining estimate until reaching the maximum noise exposure level. Additionally, the maximum noise exposure level may be based on industry regulations or personalized hearing thresholds.

Dosimetry hearing protection device with time remaining warning

Embodiments relate generally to devices, systems, and methods for monitoring sounds. A method may comprise monitoring environmental sounds with a hearing protection device; transmitting acoustic signatures from the hearing protection device to a portable electronic device; transmitting the acoustic signatures from the portable electronic device to a server; correlating the acoustic signatures with information in a database; transmitting a message from the server to the portable electronic device indicating the correlation; creating a suggestion with the portable electronic device based on the correlation; and transmitting the suggestion from the portable electronic device to the hearing protection device based on the correlation.

Use of hearing protection to discriminate between different and identify individual noise sources to control and reduce risk of noise induced hearing loss

A method of limiting noise damage to an individual includes receiving, by an ototoxicity application stored in a non-transitory memory and executed on a processor, a first individual exposure level to a first ototoxic condition in an area, correlating the first individual exposure level to an ototoxic effect, determining a noise level threshold based on the correlating, receiving a noise level exposure in the area, comparing the noise level threshold with the noise level exposure, and sending an alert when the noise level exposure exceeds the noise level threshold. The noise level threshold is below a standard noise level threshold.

A hearing protection earmuff may be configured to dampen vibrations at an interface. Generally, the hearing protection earmuff may comprise two ear cups, a headband attached to and connecting the ear cups, one or more sensors, a processor, an electroacoustic shock absorber, and an electromagnetic controller. Typically, the electromagnetic controller may be associated with an electroacoustic shock absorber and may be configured to control the dampening of the electroacoustic shock absorber. The dampening of the electroacoustic shock absorber may occur as a smart fluid changes viscosity in response to a signal received from the electromagnetic controller. In some embodiments, the clamping force between the headband and the ear cup may be varied by the electroacoustic shock absorber to minimize the vibrational impact on the user's ears. In some embodiments, the electroacoustic shock absorber may control the compressibility of the seal cushion located on each ear cup.

Earmuff with electroacoustic shock absorber

Embodiments relate generally to devices, systems, and methods for assessing a hearing protection device. A method for assessing a hearing protection device may comprise monitoring sounds with a hearing protection device; transmitting sound measurements from the hearing protection device to a portable electronic device; transmitting the sound measurements from the portable electronic device to a server; comparing, with the portable electronic device or the server, sound measurements to a look-up table; suggesting, with the portable electronic device, the most suitable hearing protection device to be worn based on a comparison between the sound measurements and the look-up table.

Hearing protection device self-assessment of suitability and effectiveness to provide optimum protection in a high noise environment based on localized noise sampling and analysis

Embodiments relate generally to a system having one or more computerized kiosks () operable to associate a personal protection device () to a worker's personal information. In some embodiments, the kiosk () can use the worker's personal information to custom configure the personal protection device (), so that the device () will better suit the needs of the specific worker.

System for custom configuring personal protection equipment

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Stevenage, United Kingdom

Neal Anthony Muggleton