A safety system for residential and commercial use includes a plurality of sensor modules that may be distributed about the environment, and that are in communication with a remote server environment and with other devices over a wireless communication network (e.g., cellular, Wi-Fi). Each sensor module includes a plurality of sensors that are capable of measuring or detecting characteristics of the environment such as smoke, small particulate, large particulate, chemicals, gasses, temperature, humidity, pressure, geolocation, and other characteristics. Analysis of sensor data is performed locally on the sensor module, as well as remotely on a server, in order to fuse and consider multiple sensor data points to identify emergency and non-emergency scenarios. By fusing and analyzing sensor data emergencies can be detected more quickly, and false alarms can be filtered out and avoided.

A cue light device may comprise one or more connection interfaces configured for electrical coupling to a video switcher via a cable; a microcontroller configured to obtain and analyze data from the video switcher via the cable and the one or more connection interfaces; a multi-position switch configured to selectively permit a segment of the data to be processed by the microcontroller; and a light source electrically coupled to the microcontroller and configured to selectively illuminate based on a configuration of the multi-position switch.

An alarm detection device includes: a sound receiver for receiving an external sound to output a first signal; a signal processing circuit coupled to the sound receiver, for receiving the first signal to output a second signal; and an alarm decision circuit coupled to the signal processing circuit, during a time range, when a number of the second signals meeting a trigger criteria is equal to a predetermined value, the alarm decision circuit outputting an alarm signal.

An apparatus device may include a bio-impedance sensor configured to take a bio-impedance measurement from a body of an individual, an optical sensor configured to take an optical measurement from the body of the individual, and a processing device configured to receive a first bio-impedance measurement from the bio-impedance sensor taken during a first period of time and a first optical measurement from the optical sensor taken during the first period of time, receive first location information of the individual during the first period of time, determine a first correlation between a physiological parameter and at least one of the first location, the first bio-impedance measurement, or the first optical measurement, and determine a first level of the physiological parameter based on the first correlation.

A system may include a fastener having a trench formed in a side of a head of the fastener. The system may further include a magneto-elastic component spanning the trench and attached to the head of the fastener on both sides of the trench. The system may also include a coil wrapped around the magneto-elastic component between both sides of the trench. The system may include a radio frequency identification (RFID) circuit, where the coil may be electrically connected to the RFID circuit resulting in a resonance response frequency that is a function of a strain level applied to the magneto-elastic component.

A geofence management system obtains location data for points of interest. The geofence management system determines, at the option of the user, the location of a user mobile computing device relative to specific points of interest and alerts the user when the user nears the points of interest. The geofence management system, however, determines relationships among the identified points of interest, and associates or “clusters” the points of interest together based on the determined relationships. Rather than establishing separate geofences for multiple points of interest, and then alerting the user each time the user's mobile device enters each geofence boundary, the geofence management system establishes a single geofence boundary for the associated points of interest. When the user's mobile device enters the clustered geofence boundary, the geofence management system notifies the user device to alert the user of the entrance event. The user then receives the clustered, geofence-based alert.

A security screening apparatus for use in detecting ferromagnetic objects comprises a detector apparatus which comprises a housing that supports at least one magnetic sensor arranged to produce a signal indicative of an ambient magnetic field or gradient over a zone of sensitivity which extends away from the housing, the size of the zone being large enough to contain the whole body of the person, and a signal processing circuit which receives as an input the signal from the magnetic sensor and which, in response to a change in the signal produces an alert signal. A beacon that comprises a light source is able to emit at least two visually distinct colours of light, and a control means controls the light source such that in a first condition in the absence of the alert signal the beacon emits a first colour light and in a second condition corresponding to the presence of the alert signal the beacon emits a second, different, colour of light. The light source is arranged such that the position and/or size and/or shape of the illuminated area of the light source in the first condition is different from the position and/or size and or shape of the illuminated area of the light source in the second condition.

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.

A life management system receives data from a client device worn by a user, the data comprising biotelemetry data and activity data collected about a user wearing the client device. The life management system generates snapshot information using information from a group consisting of: the biotelemetry data, activity data, social data associated with the user, and user profile information associated with the user. The life management system generates a recommendation using portions of the snapshot information, and updates the snapshot information with the recommendation. The life management system executes a recommendation associated with the snapshot information in accordance with the user controls associated with the user.

A life management system receives data from a client device worn by a user, the data comprising biotelemetry data and activity data collected about a user wearing the client device. The life management system generates snapshot information using information from a group consisting of: the biotelemetry data, activity data, social data associated with the user, and user profile information associated with the user. The life management system generates a recommendation using portions of the snapshot information, and updates the snapshot information with the recommendation. The life management system executes a recommendation associated with the snapshot information in accordance with the user controls associated with the user.