Weapon usage monitoring system with historical usage analytics
AssigneeArmaments Research Company, Inc.
InventorsMichael Canty, William Deng
Life of this patent
Estimating the term…
Abstract
Systems and methods are provided for weapon system monitoring, historical usage analysis, and performance evaluation of a plurality of assets within a deployment location, where each asset of the plurality includes one or more sensors that record operational information of each asset and are used to produce at least one signal, including a server device running application software that uses the signal received from each asset to detect and store situational state data of each asset and performance level data of a party associated with each asset, and a machine learning system that uses the situational state data and the performance level data to determine an operational profile of the party.
Claims20
A system for weapon system monitoring, historical usage analysis, and performance evaluation, the system comprising:
- a plurality of assets within a deployment location, wherein each asset of the plurality includes one or more sensors that record operational information of each asset and are used to produce at least one signal;
- a server device running application software that uses the signal received from each asset to detect and store situational state data of each asset and performance level data of a party associated with each asset;
- and
- a machine learning system that uses the situational state data and the performance level data to determine an operational profile of the party.
A system for weapon's personnel monitoring and training, the system comprising:
- a plurality of assets within a deployment location, wherein each asset includes one or more sensors that record operational information of each asset and are used to produce a plurality of signals;
- a server device running application software that uses the plurality of signals received from each asset to detect and store situational state data of each asset and performance level data of a party associated with each asset;
- a storage device to receive and store longitudinal situational state data and longitudinal performance level data over a defined time period;
- a machine learning system that uses the longitudinal situational state data and the longitudinal performance level data to calculate a training recommendation relating to the party;
- and
- a reporting system to communicate the training recommendation to a second party.
Dependencies are inferred from the claim text.