Abstract: A system (2000) comprising a head-mounted device (2010); at least one position sensor coupled to the head-mounted device; at least one light-filtering shield (2012) coupled to the at least one position sensor; at least one light detector (2019); and at least one computing device (2017) configured to receive, from the light detector, an indication that an intensity of light detected by the light detector exceeds an exposure threshold; determine, from the at least one position sensor, that the light-filtering shield is not positioned at the face of a worker to filter light with the intensity that exceeds the exposure threshold; and generate, in response to the determination that the light-filtering shield is not positioned at the face of a worker wearing the head-mounted device to filter light with the intensity that exceeds the exposure threshold, an indication for output.

Abstract: In some examples, a system includes an article of hearing protection assigned to a worker, and a portable computing device assigned to the worker; a remote computing device communicatively coupled to the portable computing device, the remote computing device configured to receive sound level data that indicate different sound levels at different, respective locations of a work environment; determine, based on location data received from the portable computing device, an amount of sound received by the worker over a period of time; identify an updated location in the work environment having a sound level that is different from a current location, based at least in part on the article of hearing protection, the amount of sound, and the sound level data that indicates different sound levels at different, respective locations; and generate a notification that instructs the worker to move from the current location to the updated location.

Abstract: The present disclosure includes an article of PPE. The device includes a first sensor that detects whether the article of PPE is being worn by a user, a processing module and a communications module. The processing module includes a clock that measures the length of time that the article of PPE is being worn by the user, and memory for storage of usage data, wherein usage data includes the length of time the article of PPE has been worn by the user. The communications module is for wirelessly transmitting stored usage data to a device separate from the article of PPE.

Abstract: In some examples, a system includes an article of personal protective equipment (PPE) having at least one sensor configured to generate a stream of usage data; and an analytical stream processing component comprising: a communication component that receives the stream of usage data; a memory configured to store at least a portion of the stream of usage data and at least one model for detecting a safety event signature, wherein the at least one model is trained based as least in part on a set of usage data generated by one or more other articles of PPE of a same type as the article of PPE; and one or more computer processors configured to: detect the safety event signature in the stream of usage data based on processing the stream of usage data with the model, and generate an output in response to detecting the safety event signature.

Abstract: In some examples, a system includes an article of personal protective equipment (PPE) having at least one sensor configured to generate a stream of usage data; and an analytical stream processing component comprising: a communication component that receives the stream of usage data; a memory configured to store at least a portion of the stream of usage data and at least one model for detecting a safety event signature, wherein the at least one model is trained based as least in part on a set of usage data generated by one or more other articles of PPE of a same type as the article of PPE; and one or more computer processors configured to: detect the safety event signature in the stream of usage data based on processing the stream of usage data with the model, and generate an output in response to detecting the safety event signature.

Abstract: A projection system capable of projection alignment includes a projector, a shaped projection screen, an image sensor, and a processing unit. The projector is configured to project a series of alignment content to the shaped projection screen. The image sensor is configured to capture a series of projected alignment content. The processing unit is electronically coupled to the image sensor and configured to receive the series of captured alignment content and determine at least part of general boundary of the shaped projection screen based on the series of captured alignment content.

Abstract: In some examples, a system includes: an article of personal protective equipment (PPE) that includes a communication component; a computing device communicatively coupled to the article of PPE, wherein the computing device: receives context data that is based on one or more of the article of PPE, a work environment for the article of PPE, or a worker assigned to the article of PPE; selects, based at least in part on the context data, a set of programmable safety rules that are contextually associated with the at least one article of PPE; sends the programmable safety rules to one or more of the article of PPE or a data hub communicatively coupled to the article of PPE; and wherein the programmable safety rules are configured at the article of PPE or the data hub to perform one or more operations based at least in part on PPE data.

Abstract: In some examples, a system includes an article of personal protective equipment (PPE) having at least one sensor configured to generate a stream of usage data; and an analytical stream processing component comprising: a communication component that receives the stream of usage data; a memory configured to store at least a portion of the stream of usage data and at least one model for detecting a safety event signature, wherein the at least one model is trained based as least in part on a set of usage data generated by one or more other articles of PPE of a same type as the article of PPE; and one or more computer processors configured to: detect the safety event signature in the stream of usage data based on processing the stream of usage data with the model, and generate an output in response to detecting the safety event signature.

Abstract: In some examples, a system includes an article of personal protective equipment (PPE) comprising one or more sensors, the one or more sensors configured to generate usage data that is indicative of an operation of the article of PPE; and at least one computing device comprising a memory and one or more computer processors that: receive the usage data that is indicative of the operation of the article of PPE; apply the usage data to a safety learning model that predicts a likelihood of an occurrence of a safety event associated with the article of PPE based at least in part on previously generated usage data that corresponds to the safety event; and perform, based at least in part on predicting the likelihood of the occurrence of the safety event, at least one operation.

Abstract: Computer-implemented systems and methods for estimating a replacement status of an HVAC air filter. Outdoor weather data (e.g., outdoor temperature information), is obtained. A Total Runtime Value of the HVAC system is determined based upon the obtained outdoor weather data. Finally, a replacement status of the air filter is estimated as a function of a comparison of the Total Runtime Value with a Baseline Value. By correlating air filter replacement status with an estimated runtime of the HVAC system, a credible predictor of air filter usage is provided. By estimating fan runtime based on easily-obtained outdoor weather data, the methods are readily implemented with any existing HVAC system and do not require installation of sensors or other mechanical or electrical components to the HVAC system.

Abstract: A method for monitoring impairment indicators, the method includes measuring, with a movement sensor attached to the person, a first signal related to movement of a person during a first time window and electronically storing the at least one numerical descriptor derived from the first signal as reference data for the person. The method further includes measuring, with the movement sensor attached to the person, a second signal related to movement of the person during a second time window and comparing at least one numerical descriptor derived from the second signal to the reference data as a factor to identify an impairment indicator. The present disclosure also includes a device for monitoring impairment indicators.

Abstract: A method and system for monitoring impairment indicators. The method comprises, during a first time window, measuring a first movement signal related to movement of a person with a movement sensor associated with the person, and measuring a first environmental signal with an environmental sensor. The method further comprises electronically storing at least one numerical descriptor derived from the first movement signal and the first environmental signal as reference data for the person. The method further includes, during a second time window, measuring a second movement signal related to movement of the person with the movement sensor and measuring a second environmental signal with the environmental sensor; and comparing at least one numerical descriptor derived from the second movement signal and the second environmental signal to the reference data to identify an impairment indicator.

Abstract: A method and system for monitoring impairment indicators. The method includes, during a first time window, measuring a first movement signal related to movement of the person with a movement sensor associated with the person, and measuring a first biological signal of the person with a biological sensor attached to the person. The method further includes electronically storing at least one numerical descriptor derived from the first movement signal and at least one numerical descriptor derived from the first biological signal as reference data for the person. The method includes during a second time window, measuring a second signal related to movement of the person with the movement sensor, and measuring a second biological signal of the person with the biological sensor.

Abstract: A device for recognizing activity of an object. The device comprises a housing configured to be attached to the object and a processing unit disposed in the housing comprising a processor and a movement sensor. The movement sensor measures a signal related to movement of the object during a time window. The processor assigns at least one preliminary activity label to the time window based on at least one numerical descriptor computed from the signal. The processor then determines whether to perform additional analysis dependent upon at least the preliminary activity label. The processor then assigns a final activity label to the time window.

Abstract: At least some aspects of the present disclosure feature systems and methods for obfuscating data. The method includes the steps of: receiving or retrieve an input data stream comprising a sequence of n-grams; mapping at least some of the sequence of n-grams to corresponding tokens using an obfuscation table; disposing the corresponding tokens to an output data stream.

Abstract: At least some aspects of the present disclosure feature systems and methods for obfuscating data. The method includes the steps of: receiving an input data stream comprising a sequence of n-grams; mapping at least some of the sequence of n-grams to corresponding dictionary terms using an dictionary; disposing the corresponding tokens to an output data stream.

Abstract: A projection system (400) capable of projection alignment includes a projector (410), a shaped projection screen (420), one or more alignment marks (425), an image sensor (430), and a processing unit (440). The projector is configured to project an image. The shaped projection screen is configured to receive the projected image and display the projected image, the projector having a projection area (415) on the shaped projection screen. The one or more alignment marks are proximate to a border of the projection screen. The image sensor is configured to capture an image of the shaped projection screen and generate a sensor signal corresponding to the captured image. The processing unit is electronically coupled to the image sensor and configured to receive the sensor signal and determine the positions of the one or more alignment marks based on the sensor signal.

Abstract: A projection system capable of projection alignment includes a projector, a shaped projection screen, an image sensor, and a processing unit. The projector is configured to project a series of alignment content to the shaped projection screen. The image sensor is configured to capture a series of projected alignment content. The processing unit is electronically coupled to the image sensor and configured to receive the series of captured alignment content and determine at least part of general boundary of the shaped projection screen based on the series of captured alignment content.