Computer vision based pick de rathod kruna (11 resultados)

- Tapa blanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 57,91
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.

- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 58,30
Envío por EUR 3,86Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

- Tapa blanda
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 97,60
Envío por EUR 3,51Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New.

- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 57,90
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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 all…ows 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.

- Tapa blanda
- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 48,90
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch.

- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 63,40
Envío por EUR 43,39Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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 all…ows 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.

- Tapa blanda
- Impresión bajo demanda
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 100,65
Envío por EUR 7,62Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand.

- Tapa blanda
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 48,90
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: 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 captur…e 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.

- Tapa blanda
- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 100,28
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND.

- Tapa blanda
- Impresión bajo demanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,49
Envío por EUR 60,57Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

- Tapa blanda
- Impresión bajo demanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 43,30
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: 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 Print on Demand.