An outdoor sound sensing system ideal for homes and buildings equipped with windows called the sound sensing system. The sound sensing system consists of a two-sided printed circuit board with a microphone module, a lightweight sticker, and a cable system that connects the printed circuit board to a sound recording and processing module. The printed circuit board has an aperture aligned to an acoustic shield to provide protection from the environment for the microphone module. The lightweight sticker has an aperture that is also aligned to the acoustic shield.

An outdoor sound sensing system ideal for homes and buildings equipped with windows called the sound sensing system. The sound sensing system consists of a two-sided printed circuit board with a microphone module, a lightweight sticker, and a cable system that connects the printed circuit board to a sound recording and processing module. The printed circuit board has an aperture aligned to an acoustic shield to provide protection from the environment for the microphone module. The lightweight sticker has an aperture that is also aligned to the acoustic shield.

A security system is provided for a building. The security system includes a fiber optic cable arranged in various locations in the building for Distributed Vibration Sensing (DVS) and Distributed Acoustic Sensing (DAS) at the various locations. The security system further includes a machine-learning-based analyzer for selectively providing any of an early warning and a prevention of various detected conditions responsive to a machine-learning-based analysis of results from the DVS and the DAS.

A security system is provided for a building. The security system includes a fiber optic cable arranged in various locations in the building for Distributed Vibration Sensing (DVS) and Distributed Acoustic Sensing (DAS) at the various locations. The security system further includes a machine-learning-based analyzer for selectively providing any of an early warning and a prevention of various detected conditions responsive to a machine-learning-based analysis of results from the DVS and the DAS.