Armaments Research Company Inc.

John Asbach

Michael John Canty

Kyle William Broadway

Jeff O'Dell

Abraham Rozental

A system for providing discharge monitoring of a firearm includes a first sensor, a second sensor and an event detection module. The first sensor is disposed on the firearm that senses a first acceleration along a first axis and sends a first input signal. The second sensor is disposed on the firearm that senses a second environmental variable and sends a second input signal. The event detection module receives the first input signal and compares the first acceleration to an acceleration threshold indicative of a shot; receives the second input signal and compares the second input signal to a second threshold indicative of a shot; determines whether a discharge has occurred based on both the first signal satisfying the acceleration threshold and the second input signal satisfying the second threshold; and generates an event detection signal based on the determination.

Weapon usage monitoring system having discharge event monitoring based on multiple sensor authentication

A system and method for determining a discharge event of a firearm is provided. An event detection module receives (i) acceleration input signals including a first acceleration input signal along a first axis, a second acceleration input signal along a second axis and a third acceleration input signal along a third axis; and (ii) rotation input signals including a first rotation input signal around the first axis, a second rotation input signal around the second axis and a third rotation input signal around the third axis. An acceleration vector magnitude is calculated from the acceleration signals. The acceleration vector magnitude is compared to a threshold acceleration. A sample event candidate is assigned to the acceleration vector magnitude based on the comparing. The sample event candidate comprises the acceleration input signals and the rotation input signals for a predetermined duration of time.

Weapon usage monitoring system having discharge event monitoring using neural network analysis

A system and method for determining a discharge event of a firearm includes receiving, by an event detection module, acceleration input signals and rotation input signals. An acceleration vector magnitude is calculated from the acceleration signals. The acceleration vector magnitude is compared to a threshold acceleration. A sample event candidate is assigned to the acceleration vector magnitude based on the comparing. The sample event candidate comprises the acceleration input signals and the rotation input signals for a predetermined duration of time. The sample event candidate is received at a machine learning module. Characteristics of the discharge event detected are determined including ammunition type based on the acceleration and rotation input signals in the sample event candidate.

Weapon usage monitoring system having discharge event monitoring

A method for determining an operational status of a firearm based on a discharge event is provided. A signal indicative of a plurality of accelerations sensed by an inertial measurement unit is received by an event detection module. A sample shot profile is determined based on the signal. The shot profile can comprise a first peak at a first time representing initial discharge of the firearm wherein a bolt of the firearm moves from an initial forward position, a second peak at a second time, representing the bolt engaging a rear buffer of the firearm, and a third peak at a third time, representing the bolt returning to the forward position. A measured bolt speed of the weapon is determined based on a difference between the second and third times. The measured bold speed is compared to a baseline weapon bolt speed. An operational status of the weapon is determined.

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Grand Island, NY, United States of America

John Asbach