Rathod Kruna (48 results)

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Computer Vision Based Pick and Place Robotic Arm | Kruna Rathod (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209662249 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: Neu. Bras robotique Pick and Place basé sur la vision par ordinateur | Kruna Rathod (u. a.) | Taschenbuch | Französisch | 2026 | Editions Notre Savoir | EAN 9786209865077 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Rami¿ robotyczne Pick and Place oparte na wizji komputerowej | Kruna Rathod (u. a.) | Taschenbuch | Polnisch | 2026 | Wydawnictwo Nasza Wiedza | EAN 9786209942150 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Braço robótico de recolha e colocação baseado na visão por computador | Kruna Rathod (u. a.) | Taschenbuch | Portugiesisch | 2026 | Edições Nosso Conhecimento | EAN 9786209993152 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Braccio robotico pick and place basato sulla visione computerizzata | Kruna Rathod (u. a.) | Taschenbuch | Italienisch | 2026 | Edizioni Sapienza | EAN 9786209892196 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Auf Computer Vision basierender Pick-and-Place-Roboterarm | Kruna Rathod (u. a.) | Taschenbuch | 68 S. | Deutsch | 2026 | Verlag Unser Wissen | EAN 9786209817670 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Paperback. Condition: new. Paperback. Computer vision plays a vital role in enhancing the capabilities of robotic arms by enabling them to perceive and understand their surroundings. It involves the use of cameras, sensors, and advanced image processing algorithms to capture and analyze visual data from the environment. This allows robotic systems to perform tasks with a higher level of intelligence, precision, and adaptability.The working process of computer vision in a robotic arm begins with image acquisition, where a camera captures real-time images or video of the workspace. These images are then processed using various techniques such as filtering, edge detection, segmentation, and feature extraction. The system identifies important characteristics like shape, size, color, and texture of objects. Machine learning and deep learning algorithms are often used to recognize and classify objects based on trained datasets.Once the object is identified, the system determines its position and orientation in space, often referred to as localization. This information is crucial for guiding the robotic arm to interact with the object accurately. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch.

Paperback. Condition: new. Paperback. La vision par ordinateur joue un role essentiel dans l'amelioration des capacites des bras robotiques en leur permettant de percevoir et de comprendre leur environnement. Elle repose sur l'utilisation de cameras, de capteurs et d'algorithmes avances de traitement d'images pour capturer et analyser les donnees visuelles provenant de l'environnement. Cela permet aux systemes robotiques d'effectuer des taches avec un niveau superieur d'intelligence, de precision et d'adaptabilite. Le processus de fonctionnement de la vision par ordinateur dans un bras robotique commence par l'acquisition d'images, au cours de laquelle une camera capture des images ou des videos en temps reel de l'espace de travail. Ces images sont ensuite traitees a l'aide de diverses techniques telles que le filtrage, la detection des contours, la segmentation et l'extraction de caracteristiques. Le systeme identifie des caracteristiques importantes telles que la forme, la taille, la couleur et la texture des objets. Des algorithmes d'apprentissage automatique et d'apprentissage profond sont souvent utilises pour reconnaitre et classer les objets sur la base d'ensembles de donnees entraines. Une fois l'objet identifie, le systeme determine sa position et son orientation dans l'espace, ce que l'on appelle souvent la localisation. Ces informations sont cruciales pour guider le bras robotique afin qu'il interagisse avec l'objet avec precision. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Spanisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer vision plays a vital role in enhancing the capabilities of robotic arms by enabling them to perceive and understand their surroundings. It involves the use of cameras, sensors, and advanced image processing algorithms to capture and analyze visual data from the environment. This allows robotic systems to perform tasks with a higher level of intelligence, precision, and adaptability.The working process of computer vision in a robotic arm begins with image acquisition, where a camera captures real-time images or video of the workspace. These images are then processed using various techniques such as filtering, edge detection, segmentation, and feature extraction. The system identifies important characteristics like shape, size, color, and texture of objects. Machine learning and deep learning algorithms are often used to recognize and classify objects based on trained datasets.Once the object is identified, the system determines its position and orientation in space, often referred to as localization. This information is crucial for guiding the robotic arm to interact with the object accurately.…

Paperback. Condition: new. Paperback. Computer vision plays a vital role in enhancing the capabilities of robotic arms by enabling them to perceive and understand their surroundings. It involves the use of cameras, sensors, and advanced image processing algorithms to capture and analyze visual data from the environment. This allows robotic systems to perform tasks with a higher level of intelligence, precision, and adaptability.The working process of computer vision in a robotic arm begins with image acquisition, where a camera captures real-time images or video of the workspace. These images are then processed using various techniques such as filtering, edge detection, segmentation, and feature extraction. The system identifies important characteristics like shape, size, color, and texture of objects. Machine learning and deep learning algorithms are often used to recognize and classify objects based on trained datasets.Once the object is identified, the system determines its position and orientation in space, often referred to as localization. This information is crucial for guiding the robotic arm to interact with the object accurately. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computer vision plays a vital role in enhancing the capabilities of robotic arms by enabling them to perceive and understand their surroundings. It involves the use of cameras, sensors, and advanced image processing algorithms to capture and analyze visual data from the environment. This allows robotic systems to perform tasks with a higher level of intelligence, precision, and adaptability.The working process of computer vision in a robotic arm begins with image acquisition, where a camera captures real-time images or video of the workspace. These images are then processed using various techniques such as filtering, edge detection, segmentation, and feature extraction. The system identifies important characteristics like shape, size, color, and texture of objects. Machine learning and deep learning algorithms are often used to recognize and classify objects based on trained datasets.Once the object is identified, the system determines its position and orientation in space, often referred to as localization. This information is crucial for guiding the robotic arm to interact with the object accurately.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Französisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - La visión artificial desempeña un papel fundamental en la mejora de las capacidades de los brazos robóticos, ya que les permite percibir y comprender su entorno. Implica el uso de cámaras, sensores y algoritmos avanzados de procesamiento de imágenes para capturar y analizar los datos visuales del entorno. Esto permite a los sistemas robóticos realizar tareas con un mayor nivel de inteligencia, precisión y adaptabilidad. El proceso de funcionamiento de la visión artificial en un brazo robótico comienza con la adquisición de imágenes, en la que una cámara captura imágenes o vídeos en tiempo real del espacio de trabajo. A continuación, estas imágenes se procesan utilizando diversas técnicas, como el filtrado, la detección de bordes, la segmentación y la extracción de características. El sistema identifica características importantes como la forma, el tamaño, el color y la textura de los objetos. A menudo se utilizan algoritmos de aprendizaje automático y aprendizaje profundo para reconocer y clasificar objetos basándose en conjuntos de datos entrenados. Una vez identificado el objeto, el sistema determina su posición y orientación en el espacio, lo que a menudo se denomina 'localización'. Esta información es crucial para guiar al brazo robótico a fin de que interactúe con el objeto con precisión.…

Paperback. Condition: new. Paperback. A visao computacional desempenha um papel fundamental no aprimoramento das capacidades dos bracos roboticos, permitindo-lhes perceber e compreender o ambiente circundante. Envolve a utilizacao de camaras, sensores e algoritmos avancados de processamento de imagem para capturar e analisar dados visuais do ambiente. Isto permite que os sistemas roboticos realizem tarefas com um nivel mais elevado de inteligencia, precisao e adaptabilidade. O processo de funcionamento da visao computacional num braco robotico comeca com a aquisicao de imagens, em que uma camara captura imagens ou video em tempo real do espaco de trabalho. Estas imagens sao entao processadas utilizando varias tecnicas, tais como filtragem, detecao de contornos, segmentacao e extracao de caracteristicas. O sistema identifica caracteristicas importantes como a forma, o tamanho, a cor e a textura dos objetos. Algoritmos de aprendizagem automatica e de aprendizagem profunda sao frequentemente utilizados para reconhecer e classificar objetos com base em conjuntos de dados treinados. Assim que o objeto e identificado, o sistema determina a sua posicao e orientacao no espaco, frequentemente designada por localizacao. Esta informacao e crucial para orientar o braco robotico a interagir com o objeto com precisao. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. La visione artificiale svolge un ruolo fondamentale nel potenziare le capacita dei bracci robotici, consentendo loro di percepire e comprendere l'ambiente circostante. Prevede l'uso di telecamere, sensori e algoritmi avanzati di elaborazione delle immagini per acquisire e analizzare i dati visivi provenienti dall'ambiente. Cio permette ai sistemi robotici di svolgere compiti con un livello piu elevato di intelligenza, precisione e adattabilita. Il processo di funzionamento della visione artificiale in un braccio robotico inizia con l'acquisizione delle immagini, in cui una telecamera cattura immagini o video in tempo reale dell'area di lavoro. Queste immagini vengono poi elaborate utilizzando varie tecniche quali filtraggio, rilevamento dei bordi, segmentazione ed estrazione delle caratteristiche. Il sistema identifica caratteristiche importanti quali forma, dimensioni, colore e consistenza degli oggetti. Gli algoritmi di apprendimento automatico e di deep learning vengono spesso utilizzati per riconoscere e classificare gli oggetti sulla base di set di dati addestrati. Una volta identificato l'oggetto, il sistema ne determina la posizione e l'orientamento nello spazio, processo spesso denominato localizzazione. Queste informazioni sono fondamentali per guidare il braccio robotico nell'interagire con l'oggetto in modo accurato. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Computer Vision spielt eine entscheidende Rolle bei der Erweiterung der Faehigkeiten von Roboterarmen, indem sie es ihnen ermoeglicht, ihre Umgebung wahrzunehmen und zu verstehen. Dabei kommen Kameras, Sensoren und fortschrittliche Bildverarbeitungsalgorithmen zum Einsatz, um visuelle Daten aus der Umgebung zu erfassen und zu analysieren. Dies ermoeglicht es Robotersystemen, Aufgaben mit einem hoeheren Mass an Intelligenz, Praezision und Anpassungsfaehigkeit auszufuehren. Der Arbeitsprozess der Computer Vision in einem Roboterarm beginnt mit der Bildaufnahme, bei der eine Kamera Echtzeitbilder oder -videos des Arbeitsbereichs aufnimmt. Diese Bilder werden anschliessend mithilfe verschiedener Techniken wie Filterung, Kantenerkennung, Segmentierung und Merkmalsextraktion verarbeitet. Das System identifiziert wichtige Merkmale wie Form, Groesse, Farbe und Textur von Objekten. Oft werden Algorithmen des maschinellen Lernens und des Deep Learning eingesetzt, um Objekte auf der Grundlage trainierter Datensaetze zu erkennen und zu klassifizieren. Sobald das Objekt identifiziert ist, bestimmt das System dessen Position und Ausrichtung im Raum, was oft als Lokalisierung bezeichnet wird. Diese Informationen sind entscheidend, um den Roboterarm so zu steuern, dass er praezise mit dem Objekt interagieren kann. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Wizja komputerowa odgrywa kluczowa role w zwiekszaniu mozliwosci ramion robotycznych, umozliwiajac im postrzeganie i rozumienie otoczenia. Obejmuje ona wykorzystanie kamer, czujnikow oraz zaawansowanych algorytmow przetwarzania obrazu do rejestrowania i analizowania danych wizualnych z otoczenia. Dzieki temu systemy robotyczne moga wykonywac zadania z wieksza inteligencja, precyzja i elastycznoscia. Proces dzialania wizji komputerowej w ramieniu robotycznym rozpoczyna sie od pozyskania obrazu, w ramach ktorego kamera rejestruje w czasie rzeczywistym obrazy lub filmy z obszaru roboczego. Obrazy te sa nastepnie przetwarzane przy uzyciu roznych technik, takich jak filtrowanie, wykrywanie krawedzi, segmentacja i ekstrakcja cech. System identyfikuje wazne cechy, takie jak ksztalt, rozmiar, kolor i tekstura obiektow. Algorytmy uczenia maszynowego i glebokiego uczenia sa czesto wykorzystywane do rozpoznawania i klasyfikowania obiektow na podstawie wyszkolonych zbiorow danych. Po zidentyfikowaniu obiektu system okresla jego polozenie i orientacje w przestrzeni, co czesto okresla sie mianem lokalizacji. Informacje te maja kluczowe znaczenie dla kierowania ramieniem robota w celu dokladnej interakcji z obiektem. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Spanisch.

Taschenbuch. Condition: Neu. Brazo robótico Pick and Place basado en visión por ordenador | Kruna Rathod (u. a.) | Taschenbuch | Spanisch | 2026 | Ediciones Nuestro Conocimiento | EAN 9786209841583 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - La vision par ordinateur joue un rôle essentiel dans l'amélioration des capacités des bras robotiques en leur permettant de percevoir et de comprendre leur environnement. Elle repose sur l'utilisation de caméras, de capteurs et d'algorithmes avancés de traitement d'images pour capturer et analyser les données visuelles provenant de l'environnement. Cela permet aux systèmes robotiques d'effectuer des tâches avec un niveau supérieur d'intelligence, de précision et d'adaptabilité. Le processus de fonctionnement de la vision par ordinateur dans un bras robotique commence par l'acquisition d'images, au cours de laquelle une caméra capture des images ou des vidéos en temps réel de l'espace de travail. Ces images sont ensuite traitées à l'aide de diverses techniques telles que le filtrage, la détection des contours, la segmentation et l'extraction de caractéristiques. Le système identifie des caractéristiques importantes telles que la forme, la taille, la couleur et la texture des objets. Des algorithmes d'apprentissage automatique et d'apprentissage profond sont souvent utilisés pour reconnaître et classer les objets sur la base d'ensembles de données entraînés. Une fois l'objet identifié, le système détermine sa position et son orientation dans l'espace, ce que l'on appelle souvent la localisation. Ces informations sont cruciales pour guider le bras robotique afin qu'il interagisse avec l'objet avec précision.…