US12650281 - System and method for improving shooting accuracy and predicting shooting hit rate
The patent describes a system that utilizes real-time shooting ballistics and result data to enhance shooting accuracy through a dual-processor architecture, incorporating both local and global neural networks. This system enables continuous learning and adaptation by updating shooting control and prediction data based on incoming data and derived learning results.
Claim 1
1 . A system comprising: a shooting system comprising at least one first processor configured to: receive shooting ballistics-related data and shooting result data in real time, and detect real-time surrounding data; and an integrated computer comprising at least one second processor configured to: receive the shooting ballistics-related data and the shooting result data from the shooting system, implement a global neural network to derive learning result data based on the shooting ballistics-related data and the shooting result data, and transmit the learning result data to the shooting system, wherein the at least one first processor implements a local neural network configured to store and derive shooting control data and shooting prediction data based on the shooting ballistics-related data, the shooting result data, and the learning result data, wherein the at least one second processor is further configured to implement the global neural network to update the learning result data based on the shooting ballistics-related data and the shooting result data received from the shooting system, wherein the at least one second processor is further configured to transmit the updated learning result data to the shooting system, wherein the at least one first processor is further configured to update the shooting ballistics-related data based on the updated learning result data received from the integrated computer, and wherein the at least one first processor is further configured to update the shooting control data and the shooting prediction data of the local neural network based on the updated learning result data received from the integrated computer. a shooting system comprising at least one first processor configured to: receive shooting ballistics-related data and shooting result data in real time, and detect real-time surrounding data; and receive shooting ballistics-related data and shooting result data in real time, and detect real-time surrounding data; and an integrated computer comprising at least one second processor configured to: receive the shooting ballistics-related data and the shooting result data from the shooting system, implement a global neural network to derive learning result data based on the shooting ballistics-related data and the shooting result data, and transmit the learning result data to the shooting system, receive the shooting ballistics-related data and the shooting result data from the shooting system, implement a global neural network to derive learning result data based on the shooting ballistics-related data and the shooting result data, and transmit the learning result data to the shooting system, wherein the at least one first processor implements a local neural network configured to store and derive shooting control data and shooting prediction data based on the shooting ballistics-related data, the shooting result data, and the learning result data, wherein the at least one second processor is further configured to implement the global neural network to update the learning result data based on the shooting ballistics-related data and the shooting result data received from the shooting system, wherein the at least one second processor is further configured to transmit the updated learning result data to the shooting system, wherein the at least one first processor is further configured to update the shooting ballistics-related data based on the updated learning result data received from the integrated computer, and wherein the at least one first processor is further configured to update the shooting control data and the shooting prediction data of the local neural network based on the updated learning result data received from the integrated computer.
Google Patents
https://patents.google.com/patent/US12650281
USPTO PDF
https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12650281