Abstract: Systems and methods for improving night vision systems are presented. Broadband multi-level diffractive lenses are used in place of either or both of the objective and eyepiece of traditional night vision systems. By using one or more broadband multi-level diffractive lenses, the size, weight, and weight distribution may be reduced or modified.

Abstract: Systems and methods for performing quality assurance assessments for unattended computer vision counting tools are presented. Classification information is used to generate coefficients for error equations. Digital filters are used to train and update these coefficients. These coefficients are used to determine object count uncertainty ranges for an area of interest.

Abstract: Systems and methods for performing quality assurance assessments for unattended computer vision counting tools are presented. Classification information is used to generate coefficients for error equations. Recursive digital filters are used to train and update these coefficients. These coefficients are used to determine object count uncertainty ranges for an area of interest.

Abstract: Systems and methods for automatically optimizing pairs of stereo images are presented. Pixels in an image pair are reprojected from their raw format to a common pixel-space coordinate system. The image pair is masked to remove pixels that do not appear in both images. Each image undergoes a local enhancement process. The local enhancements are processed into a global enhancement for each image of the image pair. A factor is calculated to balance the left and right images with each other. A brightness factor for the image pair is calculated. The enhancements, including the balancing and brightness factors, are then mapped to their respective images.