Abstract: Embodiments of a deep learning enabled generative sensing and feature regeneration framework which integrates low-end sensors/low quality data with computational intelligence to attain a high recognition accuracy on par with that attained with high-end sensors/high quality data or to optimize a performance measure for a desired task are disclosed.

Abstract: Embodiments of a deep learning enabled generative sensing and feature regeneration framework which integrates low-end sensors/low quality data with computational intelligence to attain a high recognition accuracy on par with that attained with high-end sensors/high quality data or to optimize a performance measure for a desired task are disclosed.

Abstract: A method for automatic, stereo vision based, in-line solder ball height and substrate coplanarity inspection includes providing an imaging setup together with an imaging processor for reliable, in-line solder ball height measurement. The imaging set up includes a pair of cameras mounted at two opposing angles with ring lighting around each camera lens, which allows the capture of two images of an electronics package in parallel. The lighting generates features on solder balls located on a substrate of the electronics package, which are then used to determine height. Specifically, points with the same intensity on each solder ball surface are grouped, which allows for the formation of curves, also known as iso-contours, which are then matched between the two views. An optimized triangulation is then performed to determine the height of each one of the solder balls.

Abstract: Systems, methods, and media for optical recognition are provided. In some embodiments, systems for optical recognition are provided, the systems comprising: at least one hardware processor that: identifies a plurality of fixation points in optically detected data; identifies features of the plurality of fixation points; and identifies one or more characteristics of an object represented in the optically detected data. In some embodiments, methods for optical recognition are provided, the methods comprising: identifying a plurality of fixation points in optically detected data using a hardware processor; identifying features of the plurality of fixation points using the hardware processor; and identifying one or more characteristics of an object represented in the optically detected data using the hardware processor.

Abstract: A method for automatic, stereo vision based, in-line solder ball height and substrate coplanarity inspection includes providing an imaging setup together with an imaging processor for reliable, in-line solder ball height measurement. The imaging set up includes a pair of cameras mounted at two opposing angles with ring lighting around each camera lens, which allows the capture of two images of an electronics package in parallel. The lighting generates features on solder balls located on a substrate of the electronics package, which are then used to determine height. Specifically, points with the same intensity on each solder ball surface are grouped, which allows for the formation of curves, also known as iso-contours, which are then matched between the two views. An optimized triangulation is then performed to determine the height of each one of the solder balls.

Abstract: Systems, methods, and media for optical recognition are provided. In some embodiments, systems for optical recognition are provided, the systems comprising: at least one hardware processor that: identifies a plurality of fixation points in optically detected data; identifies features of the plurality of fixation points; and identifies one or more characteristics of an object represented in the optically detected data. In some embodiments, methods for optical recognition are provided, the methods comprising: identifying a plurality of fixation points in optically detected data using a hardware processor; identifying features of the plurality of fixation points using the hardware processor; and identifying one or more characteristics of an object represented in the optically detected data using the hardware processor.

Abstract: Methods and devices for a media processing is provided. In one respect, the methods can provide initiating a bandwidth throttle or a frame rate throttle when resources of a network exceed resources of client device. The methods of the present disclosure may also provide techniques for handling lost packets during transmission using wavelet coefficients.