US 12,410,978 B2
Devices, systems, and computer program products for detecting gunshots and related methods
Gary Leonhardt, Macclessfield, NC (US); Jon Buttram, Raleigh, NC (US); and Andrew Starling, Farmville, NC (US)
Assigned to Pull Count, LLC, Macclessfield (NC)
Filed by Pull Count, LLC, Macclessfield, NC (US)
Filed on Nov. 16, 2023, as Appl. No. 18/511,270.
Application 18/511,270 is a continuation of application No. 17/526,942, filed on Nov. 15, 2021, granted, now 11,835,311.
Claims priority of provisional application 63/113,630, filed on Nov. 13, 2020.
Prior Publication US 2024/0085133 A1, Mar. 14, 2024
Int. Cl. F41A 17/06 (2006.01); F41A 19/01 (2006.01); F41C 27/00 (2006.01); G06N 3/08 (2023.01)
CPC F41A 17/063 (2013.01) [F41A 19/01 (2013.01); F41C 27/00 (2013.01); G06N 3/08 (2013.01)] 5 Claims
OG exemplary drawing
 
1. A gunshot accounting system for counting and tracking rounds fired from a firearm, the gunshot accounting system comprising:
a first computing device having a memory and a processor; and
a gunshot accounting device for counting and tracking rounds fired from a firearm, the gunshot accounting device being in communication with the first computing device and the gunshot accounting device comprising:
a housing that can be secured to at least one of a user or a firearm used by the user;
a display secured to the housing;
at least one sensor residing in the housing, the at least one sensor configured to collect sensor data, wherein the at least one sensor comprises one or more microphones configured to collect audio data;
a memory for storing a filter and an artificial intelligence that comprises a neural network; and
a processor residing in the housing and in communication with the at least one sensor and the display, the processor executing the filter and the artificial intelligence stored within the memory, the processor performing steps of:
collecting the audio data from the one or more microphones in a gunshot accounting device used by a user;
filtering the audio data to produce a sound fingerprint using the filter executed by the processor within the gunshot accounting device;
analyzing the sound fingerprint using the neural network to determine if a round has been fired from a firearm held by a user using the gunshot accounting device based on the sound fingerprint; and
displaying an indication that a round has been fired from the firearm held by the user if the neural network determines that a round was fired based on analysis of the sensor data.