Embodiments of the present technology may include a system for tracking and monitoring, including a fastener, a triggering mechanism coupled to the fastener for reacting to physical movement of the fastener resulting from tampering, destruction, or uncoupling; a generator; a tracker coupled to the fastener, wherein the tracker determines a triggered event, and wherein the tracker switches to a low power mode based on an event.

Disclosed herein is a telemetric fitting for a liquid-level gauge, the telemetric fitting being configured to derive liquid-level information from the liquid-level gauge when attached thereto and wirelessly transmit at radio frequencies the liquid-level information.

A wireless communication device that communicates with a plurality of slave units, including: a transmitter that transmits a data transmission instruction including a first identification information of a single slave unit among the plurality of slave units; a receiver that receives data corresponding to the data transmission instruction from the single slave unit; wherein the transmitter transmits to the plurality of slave units acknowledgment data which has incorporated second identification information into an acknowledgment to the data received from the single slave unit, the second identification information indicating another slave unit which transmits data corresponding to a next data transmission instruction to the wireless communication device.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

Audience monitoring systems and related methods are described herein. An example audience monitoring system includes a beacon to be disposed proximate a media presentation device. The beacon is to transmit a ping signal. The system also includes a portable metering device to be carried by a person. The portable metering device includes a microphone to receive an audio signal and a processor to determine a distance value indicative of a distance between the portable metering device and the beacon based on the ping signal.

Disclosed are techniques to conserve battery of an endpoint device. Example techniques include adjusting the size of messages transmitted by an endpoint device and/or adjusting the transmission rate of an endpoint device. In some configurations, the one or more criteria are used by an endpoint device to determine what data fields to include within a message and/or adjust a transmission rate associated with the transmission of messages by the endpoint device. For instance, the one or more criteria may include the battery level of the device, the time of year, whether the data has already been transmitted by the endpoint device, whether the data has been acknowledged as received by another device, whether the endpoint device has been instructed by another device to reduce the message size and/or adjust the transmission rate, and the like.

In exemplary embodiments, methods and systems are provided that include: obtaining, via telematics systems of a plurality of vehicles, vehicle telemetry data as the plurality of vehicles travel through one or more geographic regions; transforming, from a computer processor, the vehicle telemetry data into a geohash encoded format pertaining to the one or more geographic regions; identifying, via a processor, a plurality of road junctions using the vehicle telemetry data that is transformed into a geohashed encoding; identifying, via the processor, a plurality of road segments using the vehicle telemetry data that is transformed into a geohashed encoding for the one or more geographic regions; and generating, via the processor, a road network mapping for the one or more geographic regions that includes the plurality of road junctions and the plurality of road segments utilizing the vehicle telemetry data that is transformed into a geohashed encoding.

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 device of or attached to a roller body determines a rotational frequency of the roller body (or other object) rotating about an axis of rotation includes an acceleration sensor that detects an acceleration signal of an acceleration in a first direction extending in a radial or tangential direction to the axis of rotation of the roller body; and an electronic processing unit and configured to low-pass and high-pass, particularly adaptively high-pass filter, the detected acceleration signal, perform a derivation, with respect to time, of the filtered signal, optimize the signal with a subsequent absolute-amount generation and with moving averaging, and ascertain a frequency of the filtered acceleration signal, which corresponds to the rotational frequency of the roller body.