Abstract: Systems and methods for item recognition and analysis are disclosed. One or more items are recognized utilizing, for example, image data, and a quantity of the one or more items is determined based at least in part on data representing a weight of the items. Nutritional information associated with the items is determined and utilized for one or more purposes, including, for example, nutrition tracking, meal apportionment, label generation, and recipe creation and modification.

Abstract: An image processor merges images from a plurality of cameras including applying spatially-varying gains over images from individual cameras to obtain a consistent effective where the images are stitched together despite the cameras possibly having different camera exposures. The image processor can adjust the camera exposures to improve stitching results. In addition to gain modification, the image processor can also modify the images for other artifacts, such as veiling glare and make those less visible at the seams of images. The image processor also can take into account constraints on gain changes and optimize camera parameters to minimize stitching artifacts. Using a cost function, the image processor can optimize for constraints on camera exposure that would otherwise result in camera exposure differences that would themselves cause visible artifacts.