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Abstract

A computerized method of an integrated microphone to monitor environmental conditions of battery-operated asset tracker comprising: integrating one or more microphones into each asset tracker of a cluster of asset trackers; using the one or more microphones to monitor an environmental condition of a battery-operated asset tracker; correlate a set of sound data received form the one or more microphones with another set of data from other sensors of each asset tracker of the cluster of asset trackers; using an IMU (Inertial Management Unit) to determine an orientation in space of each asset tracker; with the data of the one or more microphones and the orientation in space of each asset tracker, determining a direction of a sound in a proximity of the cluster of asset trackers; and providing a pre-learned machine learning sound identification model to identify a sound source of the sound.

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First Claim