Abstract: A micro-channeling system, the system includes a micro-channeling device, a needle tip connector and a variety of micro-needling assemblies. The micro-channeling device is designed to provide reciprocal motion, in and out of skin, for the micro-needling assemblies when applied to skin. A quick connector is provided for easy interchange of the micro-needling assemblies. Benefits of the system include ergonomic holding, versatility of needle arrays and reduced vibration.

Abstract: A micro-needling system, the system includes a micro-channeling device, a needle tip connector and a variety of micro-needling assemblies. The micro-channeling device is designed to provide reciprocal motion, in and out of skin, for the micro-needling assemblies when applied to skin. A quick connector is provided for easy interchange of the micro-needling assemblies. Benefits of the system include ergonomic holding, versatility of needle arrays and reduced vibration.

Abstract: A micro-needling system, the system includes a micro-channeling device, a needle tip connector and a variety of micro-needling assemblies. The micro-channeling device is designed to provide reciprocal motion, in and out of skin, for the micro-needling assemblies when applied to skin. A quick connector is provided for easy interchange of the micro-needling assemblies. Benefits of the system include ergonomic holding, versatility of needle arrays and reduced vibration.

Abstract: A system and method that determines multiple linear groups of horizontally placed items in an image is disclosed. The method includes receiving an image including a portion of a shelving unit, identifying a plurality of items in the image, determining a plurality of facings, clustering the plurality of facings, merging a plurality of clusters and determining a list of linear groups in the image.

Abstract: A system and method that determines multiple linear groups of horizontally placed items in an image is disclosed. The method includes receiving an image including a portion of a shelving unit, identifying a plurality of items in the image, determining a plurality of facings, clustering the plurality of facings, merging a plurality of clusters and determining a list of linear groups in the image.

Abstract: A system and method that determines multiple linear groups of horizontally placed items in an image is disclosed. The method includes receiving an image including a portion of a shelving unit, identifying a plurality of items in the image, determining a plurality of facings, clustering the plurality of facings, merging a plurality of clusters and determining a list of linear groups in the image.

Abstract: A system and method that determines a seam between pairs of adjacent images for panoramic image stitching is disclosed. The method includes receiving a sequence of images, determining a pair of adjacent images in the sequence of images, matching one or more objects corresponding to a same object identifier in the pair of adjacent images, determining a seam in an overlap region between the pair of adjacent images and determining a portion of pixels from each image of the pair of adjacent images to represent in a stitched panoramic image based on the seam.

Abstract: The techniques include an image recognition system to receive a realogram image including a plurality of organized objects and to detect and identify objects in the realogram image of one or more items on a retail shelf, identify shelf fronts and labels on the shelf fronts, identify empty space under shelves, identify areas where unidentified products may be, and identify areas where products are “out of stock”.

Abstract: A system and method that determines multiple linear groups of horizontally placed items in an image is disclosed. The method includes receiving an image including a portion of a shelving unit, identifying a plurality of items in the image, determining a plurality of facings, clustering the plurality of facings, merging a plurality of clusters and determining a list of linear groups in the image.

Abstract: A system and method that determines a seam between pairs of adjacent images for panoramic image stitching is disclosed. The method includes receiving a sequence of images, determining a pair of adjacent images in the sequence of images, matching one or more objects corresponding to a same object identifier in the pair of adjacent images, determining a seam in an overlap region between the pair of adjacent images and determining a portion of pixels from each image of the pair of adjacent images to represent in a stitched panoramic image based on the seam.

Abstract: The techniques include an image recognition system to receive a realogram image including a plurality of organized objects and to detect and identify objects in the realogram image of one or more items on a retail shelf, identify shelf fronts and labels on the shelf fronts, identify empty space under shelves, identify areas where unidentified products may be, and identify areas where products are “out of stock”.

Abstract: The techniques include an image recognition system to receive a realogram image including a plurality of organized objects and to detect and identify objects in the realogram image of one or more items on a retail shelf, identify shelf fronts and labels on the shelf fronts, identify empty space under shelves, identify areas where unidentified products may be, and identify areas where products are “out of stock”.

Abstract: The techniques include an image recognition system to receive a realogram image including a plurality of organized objects and to detect and identify objects in the realogram image of one or more items on a retail shelf, identify shelf fronts and labels on the shelf fronts, identify empty space under shelves, identify areas where unidentified products may be, and identify areas where products are “out of stock”.

Abstract: The techniques include an image recognition system to receive a realogram image including a plurality of organized objects and to detect and identify objects in the realogram image of one or more items on a retail shelf, identify shelf fronts and labels on the shelf fronts, identify empty space under shelves, identify areas where unidentified products may be, and identify areas where products are “out of stock”.