Sorting apparatus (100) comprising: an input feed mechanism (102) configured to feed objects (120) towards an inspection zone; a deflector (112), configured to deflect the objects (120) leaving the input feed mechanism (102); and a sensor-based inspection unit (104), configured to inspect the objects (120) when passing through the inspection zone, and to classify the objects (120), wherein the sorting apparatus (100) further comprises an ejection mechanism (106) configured to eject objects (120) classified in a first ejection category, but to let other objects (120) that fail to be classified in the first ejection category pass, and a flow output mechanism (108) configured to receive the other objects (120).
A method and apparatus for identifying at least one image of foreign material from a plurality of images of suspected foreign material from a sorting system, the method comprising: obtaining at least one image of suspected foreign material detected in a stream of good product containing some population of foreign material; performing image analysis on the at least one image of the suspected foreign material; and classifying, based on the image analysis, the suspected foreign material as true foreign material or non-foreign material; and a method and apparats for confirming the removal of a foreign object from a product flow during a sorting process, the method comprising: obtaining at least one image of at least one product removed from a product flow by a sorting system; comparing the at least one image of the at least one removed product with at least one image of a foreign object in the product flow identified for removal by the sorting system; and determining an unsuccessful removal of the foreign object from the product flow when the at least one image of the foreign object does not match the at least one image of at least one product removed from the product flow by the sorting system.
G06V 10/58 - Extraction de caractéristiques d’images ou de vidéos relative aux données hyperspectrales
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p. ex. la couleur
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 20/52 - Activités de surveillance ou de suivi, p. ex. pour la reconnaissance d’objets suspects
A circuit protection and management system, comprising: at least one electronic fuse comprising a configurable circuit trip level; a controller comprising a memory, the controller being coupled to the at least one electronic fuse; wherein the controller is configured to: monitor the operation of the circuit including the electronic fuse; and store operating information of the circuit including the electronic fuse.
H02H 3/08 - Circuits de protection de sécurité pour déconnexion automatique due directement à un changement indésirable des conditions électriques normales de travail avec ou sans reconnexion sensibles à une surcharge
H02H 3/00 - Circuits de protection de sécurité pour déconnexion automatique due directement à un changement indésirable des conditions électriques normales de travail avec ou sans reconnexion
H02H 3/06 - Circuits de protection de sécurité pour déconnexion automatique due directement à un changement indésirable des conditions électriques normales de travail avec ou sans reconnexion Détails avec reconnexion automatique
A method of classification of a digital image is provided, the method comprising scanning pixel locations in the digital image; collecting a regular grouping of pixels in the vicinity of each scanned pixel location; providing the collection of pixels to a fully convolutional neural network; and training the fully convolutional neural network with samples of grouped pixels providing a target classification of a center pixel of the grouping of pixels.
G06V 10/22 - Prétraitement de l’image par la sélection d’une région spécifique contenant ou référençant une formeLocalisation ou traitement de régions spécifiques visant à guider la détection ou la reconnaissance
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
A method of controlling a peeling system is provided comprising monitoring at least one sensor configured to detect data indicating a characteristic of a flow of a peelable product through the system; providing the data to a virtual model of the peeling system; adjusting the operation of the peeling system based on an output of the virtual model.
A peeling process and system comprising a primary peeling device; a sorting device arranged to sort product output from the primary peeling device into peeled product and partially peeled product; a secondary peeling device arranged to receive the partially peeled product output from the sorting device; and a peel control system to monitor the peel quality of product detected in at least one position after the primary peeling device and control the peeling system in response to same.
A peeling process and system comprising a primary peeling device; a sorting device arranged to sort product output from the primary peeling device into peeled product and partially peeled product; a secondary peeling device arranged to receive the partially peeled product output from the sorting device; and a peel control system to monitor the peel quality of product detected in at least one position after the primary peeling device and control the peeling system in response to same.
A peeling process and system comprising a primary peeling device; a sorting device arranged to sort product output from the primary peeling device into peeled product and partially peeled product; a secondary peeling device arranged to receive the partially peeled product output from the sorting device; and a peel control system to monitor the peel quality of product detected in at least one position after the primary peeling device and control the peeling system in response to same.
A steam peeling vessel for rotation about an internal axis of rotation, including at least one internal lifter having a longitudinal axis oriented at an oblique angle to the internal axis of rotation of the vessel. The vessel may include at least two internal lifters. The vessel may include a first lifter oriented at a first oblique angle to the axis of rotation, and at least a second lifter oriented at a second oblique angle to the axis of rotation.
A steam peeling vessel for rotation about an internal axis of rotation, comprising at least one internal lifter (12, 13, 14, 16) having a longitudinal axis oriented at an oblique angle to the internal axis of rotation of the vessel.
A steam peeling vessel for rotation about an internal axis of rotation, comprising at least one internal lifter (12, 13, 14, 16) having a longitudinal axis oriented at an oblique angle to the internal axis of rotation of the vessel.
A method for handling harvested root crops such as potatoes. The method includes the steps of optically imaging (i.e., by the hyper-spectral imaging system) a bulk flow of a harvested root crop to produce image data and analysing the image data to identify discrete objects within the bulk flow. Each identified object is categorised as either acceptable or unacceptable based on a comparison with at least one discriminator and objects classified as unacceptable are removed (by the ejector actuator) from the bulk flow to provide a sorted flow of the harvested root crop.
B07C 5/34 - Tri en fonction d'autres propriétés particulières
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p. ex. la couleur
G01N 21/85 - Analyse des fluides ou solides granulés en mouvement
B07C 5/10 - Séparation selon la dimension les mesures étant faites par des moyens photosensibles
G01N 21/359 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique en utilisant la lumière infrarouge en utilisant la lumière de l'infrarouge proche
G01N 21/88 - Recherche de la présence de criques, de défauts ou de souillures
G01N 21/84 - Systèmes spécialement adaptés à des applications particulières
14.
METHOD AND APPARATUS FOR HANDLING HARVESTED ROOT CROPS
The present invention relates to a method for handling harvested root crops such as potatoes. The method comprises the steps of optically imaging (i.e. by the hyper-spectral imaging system) a bulk flow of a harvested root crop to produce image data and analysing the image data to identify discrete objects within the bulk flow. Each identified object is categorised as either acceptable (44) or unacceptable (40) based on a comparison with at least one discriminator and objects classified as unacceptable are removed (by the ejector actuator 38) from the bulk flow to provide a sorted flow of the harvested root crop.
The present invention relates to a method for handling harvested root crops such as potatoes. The method comprises the steps of optically imaging (i.e. by the hyper-spectral imaging system) a bulk flow of a harvested root crop to produce image data and analysing the image data to identify discrete objects within the bulk flow. Each identified object is categorised as either acceptable (44) or unacceptable (40) based on a comparison with at least one discriminator and objects classified as unacceptable are removed (by the ejector actuator 38) from the bulk flow to provide a sorted flow of the harvested root crop.
A rejector device for use within a system for sorting discrete objects, the divert device comprising at least one divert device arranged to change the trajectory of an object; and drive means arranged to drive the divert device between at least three discrete positions such that in use, at least one of said discrete objects passes along one of three paths.
B65G 47/72 - Transfert de matériaux en vrac d'un seul transporteur à plusieurs transporteurs ou vice versa
B65G 47/19 - Aménagements ou utilisation de trémies ou colonnes de descente avec moyens pour commander le débit des matériaux, p. ex. pour empêcher la surcharge
B65G 47/52 - Dispositifs pour transférer objets ou matériaux entre transporteurs, p. ex. pour décharger ou alimenter
A rejector device for use within a system for sorting discrete objects, the rejector device comprising at least one divert device arranged to change the trajectory of an object and drive means arranged to drive the divert device between at least three discrete positions such that in use, at least one of said discrete objects passes along one of three paths, and a method of sorting discrete objects comprising the steps of positioning a divert device in one of three discrete positions; and varying the trajectory of at least one of said discrete objects when said divert device is positioned in two of said three discrete positions.
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