Disclosed is a hub station of an alarm system, having: a hub station housing; a hub station controller disposed within the hub station housing, wherein the hub station is configured for: communicating, bi-directionally over a short range network during an active alarm condition, with a plurality of client stations that are distributed in a plurality of zones, the plurality of client stations each including a housing and located therein a power transformer, a speaker, a microphone, and one of a plurality of controllers; obtaining, from the communicating during the active alarm condition, intrusion sound data indicative of sounds received by one or more of the plurality of client stations; and determining, from the intrusion sound data, intrusion location data indicative of a location and movement of an intrusion among the architectural zones; and forwarding, over a long range telecommunications network, the intrusion location data to a central station.

A system and method for comprehensive remote monitoring of a user's vital signs and bodily functions includes a wearable monitor in bi-directional communication with a gateway element that communicates with one or more external devices to allow remote access to user vital sign and bodily function information.

An example smoke detector includes a smoke detection circuit operable to detect smoke, a piezo buzzer, a single color visual indicator, and a transceiver operable to communicate with at least one other smoke detector. A processor is operatively connected to the smoke detection circuit, piezo buzzer, single color visual indicator, and transceiver. The processor is operable to provide distinct notifications for each of a plurality of modes of the smoke detector including at least one alarm mode that indicates detected smoke, at least one maintenance mode that indicates a maintenance condition of the smoke detector, and at least one network configuration mode. Each notification includes one or more audio tones from the piezo buzzer, one or more illuminations of the single color visual indicator, or a combination thereof.

An example smoke detector includes a smoke detection circuit operable to detect smoke, a piezo buzzer, a single color visual indicator, and a transceiver operable to communicate with at least one other smoke detector. A processor is operatively connected to the smoke detection circuit, piezo buzzer, single color visual indicator, and transceiver. The processor is operable to provide distinct notifications for each of a plurality of modes of the smoke detector including at least one alarm mode that indicates detected smoke, at least one maintenance mode that indicates a maintenance condition of the smoke detector, and at least one network configuration mode. Each notification includes one or more audio tones from the piezo buzzer, one or more illuminations of the single color visual indicator, or a combination thereof.

Disclosed is a hub station of an alarm system, having: a hub station housing; a hub station controller disposed within the hub station housing, wherein the hub station is configured for: monitoring, over a short range telecommunications network, a plurality of client stations that are distributed in a plurality of architectural zones, the plurality of client stations each including a client station housing and located therein a client station power transformer, a client station speaker, a client station microphone, and one of a plurality of client station controllers; determining, from the monitoring, that an alert condition exists in the one of the architectural zones; and establishing a first bidirectional communication concurrently with two or more of the plurality of client stations distributed in the plurality of architectural zones.

Implementations described herein disclose a method of classifying oxygen level desaturation events. In one implementation, the method includes receiving input signal sequences, the input signals indicative of a physiological condition of a patient, generating an input sequence of oxygen saturation levels based on the input signal sequence, comparing the input sequence of oxygen saturation levels to a desaturation alarm threshold to determine a desaturation event, generating an input feature matrix based on at least one of the input signal sequences and the input sequence of oxygen saturation levels, and classifying based on the input feature matrix, using a neural network, the desaturation event being a severe desaturation event (SDE) or a non-severe desaturation event (non-SDE).

Implementations described herein disclose a method of classifying oxygen level desaturation events. In one implementation, the method includes receiving input signal sequences, the input signals indicative of a physiological condition of a patient, generating an input sequence of oxygen saturation levels based on the input signal sequence, comparing the input sequence of oxygen saturation levels to a desaturation alarm threshold to determine a desaturation event, generating an input feature matrix based on at least one of the input signal sequences and the input sequence of oxygen saturation levels, and classifying based on the input feature matrix, using a neural network, the desaturation event being a severe desaturation event (SDE) or a non-severe desaturation event (non-SDE).

A system, method and program product for identifying a risk hazard vulnerability at a target environment and presenting a detected risk hazard. The method configures an evaluator mobile computing device to obtain, via the mobile device, a real-world view or image data of items/objects in a target real-world environment and, optionally, or in addition, obtain other context data associated with the target environment. The method invokes operations of a risk vulnerability model to detect a risk associated with the target object within the real-world view and based on any additional associated context data. The method causes the mobile device to further generate a visual, audible or haptics indication of the identified risk vulnerability and/or a calculated risk score of the target object for display on the mobile computing device and display the risk vulnerability indication on the real-world view displayed at the mobile device.

A human detection system 18 includes: a camera 19 that acquires detection image data Dd of a detection region D, the detection region D being a prescribed region including a portion of a crane 1; a deviation determination unit 21c in which image data of the crane 1 included in the detection image data Dd acquired by the camera 19 in a state of being disposed at a reference position is set as reference image data Sd of the detection region D, and in which the detection image data Dd of the detection region D acquired at an arbitrary time by the camera 19 is compared to the reference image data Sd to determine whether the position of the camera 19 has deviated from the reference position; and a reporting unit 21d that reports that the position of the camera 19 has deviated.

The present disclosure relates to smoke detectors. Various embodiments may include a method for adjusting a smoke detector (adjustment method) and a device executing the method for adjusting a smoke detector (adjustment device). For example, a method for automatically adjusting a smoke detector may include: placing the smoke detector in a channel; placing a reference smoke detector into the channel; applying a flowing aerosol to the channel; gathering data from the reference smoke detector reflecting the flowing aerosol; and adjusting the smoke detector based on the data gathered from the reference detector.