Abstract: An apparatus for detecting gunshots may include a device housing configured to removably couple to a light fixture; a microphone inside or mounted to the device housing; and a processor inside the device housing and electrically coupled to the microphone. The processor can be configured to receive audio data from the microphone; execute a machine learning model using the audio data as input to determine whether the audio data corresponds to a gunshot; and responsive to determining the audio data corresponds to a gunshot, transmit the audio data to a remote processor.

Abstract: An apparatus for detecting gunshots. The apparatus may include a device housing configured to removably couple to a light fixture; a microphone inside or mounted to the device housing; and a processor inside the device housing and electrically coupled to the microphone. The processor can be configured to receive audio data from the microphone; execute a machine learning model using the audio data as input to determine whether the audio data corresponds to a gunshot; and responsive to determining the audio data corresponds to a gunshot, transmit the audio data to a remote processor.

Abstract: An apparatus may include a device housing; a camera; a plurality of microphones inside or mounted to the device housing; and a processor inside the device housing and electrically coupled to the plurality of microphones. The processor can be configured to receive a set of audio data from each of the plurality of microphones; execute a machine learning model using each of the sets of audio data as input to determine whether the set of audio data corresponds to an actionable sound; determine a location of the actionable sound relative to a location of the camera based on a plurality of sets of audio data determined to correspond to the actionable sound; and rotate the camera towards the determined location of the actionable sound.

Abstract: An apparatus may include a device housing; a camera; a plurality of microphones inside or mounted to the device housing; and a processor inside the device housing and electrically coupled to the plurality of microphones. The processor can be configured to receive a set of audio data from each of the plurality of microphones; execute a machine learning model using each of the sets of audio data as input to determine whether the set of audio data corresponds to an actionable sound; determine a location of the actionable sound relative to a location of the camera based on a plurality of sets of audio data determined to correspond to the actionable sound; and rotate the camera towards the determined location of the actionable sound.

Abstract: An apparatus for detecting gunshots. The apparatus may include a device housing configured to removably couple to a light fixture; a microphone inside or mounted to the device housing; and a processor inside the device housing and electrically coupled to the microphone. The processor can be configured to receive audio data from the microphone; execute a machine learning model using the audio data as input to determine whether the audio data corresponds to a gunshot; and responsive to determining the audio data corresponds to a gunshot, transmit the audio data to a remote processor.

Abstract: An apparatus. The apparatus may include a device housing; a camera; a plurality of microphones inside or mounted to the device housing; and a processor inside the device housing and electrically coupled to the plurality of microphones. The processor can be configured to receive a set of audio data from each of the plurality of microphones; execute a machine learning model using each of the sets of audio data as input to determine whether the set of audio data corresponds to an actionable sound; determine a location of the actionable sound relative to a location of the camera based on a plurality of sets of audio data determined to correspond to the actionable sound; and rotate the camera towards the determined location of the actionable sound.