초록 ▼

A visual automated score system (VASS) is provided to enable computerized accuracy assessment of weapons systems through video photography. Images are fed into a computer which tracks the intended target, detects impact points and then provides human operators with an automatically computed miss dis

A visual automated score system (VASS) is provided to enable computerized accuracy assessment of weapons systems through video photography. Images are fed into a computer which tracks the intended target, detects impact points and then provides human operators with an automatically computed miss distance based on the cross-correlation of at least two video images. The VASS may then provide feedback to the weapons system to correct and direct gunfire.

대표청구항 ▼

1. A computer-implemented visual scoring apparatus for determining accuracy of targeting of a ballistic projectile fired against a target, said projectile striking an impact site, said apparatus comprising: a geolocation processor that executes instructions of a geolocation algorithm on the impact s

1. A computer-implemented visual scoring apparatus for determining accuracy of targeting of a ballistic projectile fired against a target, said projectile striking an impact site, said apparatus comprising: a geolocation processor that executes instructions of a geolocation algorithm on the impact site to provide impact coordinates and on the target to provide target coordinates;a shot detection processor that executes instructions of an autonomous shot detection algorithm to determine that the projectile has been fired; anda miss distance processor that executes instructions for determining distance between the impact site and the target based on said impact and target coordinates. 2. The apparatus of claim 1, wherein said geolocation processor and said shot detection processor receives an image file from a camera. 3. The apparatus of claim 1, wherein said geolocation processor generates an affine transformation object. 4. The apparatus of claim 1, wherein said shot detection processor receives first and second image files. 5. The apparatus of claim 3, wherein said shot detection processor receives said transformation object from said geolocation processor. 6. The apparatus of claim 3, wherein said miss distance processor receives said at least one affine transformation object. 7. A computer-implemented visual automated scoring system for determining accuracy of ballistic targeting of a ballistic projectile fired against a target, said projectile striking an impact site, said scoring system comprising: a geolocation processor that executes instructions of a geolocation algorithm;a shot detection processor that executes instructions of an autonomous shot detection algorithm;a miss distance processor that executes instructions for determining distance between the impact site and the target;a remotely located camera; anda remotely located weapons system for firing the projectile. 8. The system of claim 7, wherein said camera is located on an UAV. 9. The system of claim 7, wherein said miss distance processor provides feedback to said at least one remotely located weapons system. 10. The apparatus of claim 2, wherein said shot detection processor preprocesses said image, and determines an impact centroid therefrom for a non-line-of-sight operation. 11. The apparatus of claim 1, further comprising: an image registration processor for receiving first and second images from a camera in a line-of-sight operation to produce original aim position coordinates to provide to said geolocation processor; anda registration object for providing for determining occurrence of the projectile being fired to provide to said shot detection processor. 12. The apparatus of claim 11, wherein said shot detector processor subtracts said second image from said first image to produce a difference image, preprocesses said difference image, and determines an impact centroid therefrom for said line-of-sight operation. 13. The apparatus of claim 11, wherein said image registration processor locates first and second control points respectively from said first and second images, cross-correlates said control points to provide an affine matrix, transforms said affine matrix as an affine transform, applies said affine transform to said second image to produce an output transform image.