초록 ▼

A firearm laser training system of the present invention includes a target having a plurality of zones, a laser transmitter assembly for projecting a laser beam, a sensing device and a processor. The sensing device scans the target to produce target images to detect laser beam or simulated projectil

A firearm laser training system of the present invention includes a target having a plurality of zones, a laser transmitter assembly for projecting a laser beam, a sensing device and a processor. The sensing device scans the target to produce target images to detect laser beam or simulated projectile impact locations. The processor receives impact location information from the sensing device and processes the received information to evaluate user performance and to display evaluation information and an image of the target including indicia corresponding to the detected impact locations.

대표청구항 ▼

1. A firearm laser training system enabling a user to project a laser beam toward a target to simulate firearm operation comprising:a sensing device to scan said target to produce scanned images of said target including impact locations of said laser beam on said target; anda processor to process sa

1. A firearm laser training system enabling a user to project a laser beam toward a target to simulate firearm operation comprising:a sensing device to scan said target to produce scanned images of said target including impact locations of said laser beam on said target; anda processor to process said scanned images including said impact locations, wherein said processor includes:a density module to determine pixel density values for pixels within said scanned images, wherein said pixel density value for a scanned image pixel is determined by combining component pixel values for that pixel;a detection module to identify said impact locations within said scanned images based on said pixel density values of pixels within said scanned images exceeding a threshold; anda threshold module to automatically adjust said threshold in response to measured light conditions of a surrounding environment.2. The system of claim 1, wherein said component pixel values for each pixel within said scanned images include values associated with Red (R), Green (G) and Blue (B) pixel components, and said pixel density value for that pixel is determined by:Pixel Density=(Red value×Weight1)+(Green value×Weight2)+(Blue value×Weight3);wherein Weight1, Weight2 and Weight3 are weighting values.3. The system of claim 1, wherein said detection module includes a group location module to compare pixel density values of scanned image pixels to said threshold to identify a group of pixels within a scanned image where each group member pixel includes a pixel density value exceeding said threshold.4. The system of claim 3, wherein said detection module further includes an impact location module to determine the scanned image pixel positioned at a center of said group and representing said impact location.5. The system of claim 4, wherein said detection module further includes a coordinate module to determine coordinates of said pixel representing said impact location.6. The system of claim 1, wherein said target includes a plurality of zones each representing an intended target site and associated with a score value, and said processor further includes:a scoring module to determine impact scores, wherein each impact score is associated with a detected impact location and based on said score value of said zone containing that detected impact location.7. The system of claim 1 further including a display to display an image of said target with indicia indicating said detected impact locations.8. In a firearm simulation system enabling a user to project a laser beam toward a target and including a sensing device and a processor, a method of simulating firearm operation comprising:(a) scanning said target with said sensing device to produce scanned images of said target including impact locations of said laser beam on said target; and(b) processing said scanned images including said impact locations via said processor, wherein said processing includes:(b.1) determining pixel density values for pixels within said scanned images, wherein said pixel density value for a scanned image pixel is determined by combining component pixel values for that pixel;(b.2) identifying said impact locations within said scanned images based on said pixel density values of pixels within said scanned images exceeding a threshold; and(b.3) automatically adjusting said threshold in response to measured light conditions of a surrounding environment.9. The method of claim 8, wherein said component pixel values for each pixel within said scanned images include values associated with Red (R), Green (G) and Blue (B) pixel components, and step (b.1) further includes:(b.1.1) determining said pixel density value for a scanned image pixel in accordance with:Pixel Density=(Red value×Weight1)+(Green value×Weight2)+(Blue value×Weight3);wherein Weight1, Weight2 and Weight3 are weighting values.10. The method of claim 8, wherein step (b.2) further includes:(b.2.1) comparing pixel density values of scanned image pixels to said threshold to identify a group of pixels within a scanned image where each group member pixel includes a pixel density value exceeding said threshold.11. The method of claim 10, wherein step (b.2) further includes:(b.2.2) determining the scanned image pixel positioned at a center of said group and representing said impact location.12. The method of claim 11, wherein step (b.2) further includes:(b.2.3) determining coordinates of said pixel representing said impact location.13. The method of claim 8, wherein said target includes a plurality of zones each representing an intended target site and associated with a score value, and step (b.2) further includes:(b.2.1) determining impact scores, wherein each impact score is associated with a detected impact location and based on said score value of said zone containing that detected impact location.14. The method of claim 8 further including:(c) displaying an image of said target with indicia indicating said detected impact locations on a display.15. A firearm laser training system enabling a user to project a laser beam toward a target to simulate firearm operation comprising:a sensing device to scan said target to produce scanned images of said target including impact locations of said laser beam on said target; anda processor to process said scanned images including said impact locations, wherein said processor includes:a density module to determine pixel density values for pixels within said scanned images, wherein said pixel density value for a scanned image pixel is determined by combining component pixel values for that pixel, and wherein said component pixel values for each pixel within said scanned images include values associated with Red (R), Green (G) and Blue (B) pixel components, and said pixel density value for that pixel is determined by:Pixel Density=(Red value×Weight1)+(Green value×Weight2)+(Blue value×Weight3), wherein Weight1, Weight2 and Weight3 are weighting values; anda detection module to identify said impact locations within said scanned images based on said pixel density values of pixels within said scanned images exceeding a threshold.16. The system of claim 15, wherein said detection module includes a group location module to compare pixel density values of scanned image pixels to said threshold to identify a group of pixels within a scanned image where each group member pixel includes a pixel density value exceeding said threshold.17. The system of claim 16, wherein said detection module further includes an impact location module to determine the scanned image pixel positioned at a center of said group and representing said impact location.18. The system of claim 17, wherein said detection module further includes a coordinate module to determine coordinates of said pixel representing said impact location.19. The system of claim 15, wherein said target includes a plurality of zones each representing an intended target site and associated with a score value, and said processor further includes:a scoring module to determine impact scores, wherein each impact score is associated with a detected impact location and based on said score value of said zone containing that detected impact location.20. The system of claim 15 further including a display to display an image of said target with indicia indicating said detected impact locations.21. The system of claim 15, wherein said processor further includes:a threshold module to automatically adjust said threshold in response to measured light conditions of a surrounding environment.22. In a firearm simulation system enabling a user to project a laser beam toward a target and including a sensing device and a processor, a method of simulating firearm operation comprising:(a) scanning said target with said sensing device to produce scanned images of said target including impact locations of said laser beam on said target; and(b) processing said scanned images including said impact locations via said processor, wherein said processing includes:(b.1) determining pixel density values for pixels within said scanned images, wherein said pixel density value for a scanned image pixel is determined by combining component pixel values for that pixel, and wherein said component pixel values for each pixel within said scanned images include values associated with Red (R), Green (G) and Blue (B) pixel components, and step (b.1) further includes:(b.1.1) determining said pixel density value for a scanned image pixel in accordance with:Pixel Density=(Red value×Weight1)+(Green value×Weight2)+(Blue value×Weight3), wherein Weight1, Weight2 and Weight3 are weighting values; and(b.2) identifying said impact locations within said scanned images based on said pixel density values of pixels within said scanned images exceeding a threshold.23. The method of claim 22, wherein step (b.2) further includes:(b.2.1) comparing pixel density values of scanned image pixels to said threshold to identify a group of pixels within a scanned image where each group member pixel includes a pixel density value exceeding said threshold.24. The method of claim 23, wherein step (b.2) further includes:(b.2.2) determining the scanned image pixel positioned at a center of said group and representing said impact location.25. The method of claim 24, wherein step (b.2) further includes:(b.2.3) determining coordinates of said pixel representing said impact location.26. The method of claim 22, wherein said target includes a plurality of zones each representing an intended target site and associated with a score value, and step (b.2) further includes:(b.2.1) determining impact scores, wherein each impact score is associated with a detected impact location and based on said score value of said zone containing that detected impact location.27. The method of claim 22 further including:(c) displaying an image of said target with indicia indicating said detected impact locations on a display.28. The method of claim 22, wherein step (b) further includes:(b.3) automatically adjusting said threshold in response to measured light conditions of a surrounding environment.