Soluciones de robots colaborativos DOBOT para automatización

AI Teaching Kit

AI Teaching Kit

Learn the Basics of AI in Funny and Creative Way

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Guiding Students to Sense the Robotic World with the DOBOT AI Teaching Kit

DOBOT AI Teaching Kit allows educators and students to set up a real-life-based AI solution within minutes. Combining Magician Lite with this kit, students can experience real-world AI scenarios, engage in hands-on activities, and be inspired to prototype their AI solutions. The kit also provides step-by-step tutorials online to help beginners start creating their own models right off the bat.

AI Teaching Kit

Por favor, complete la información a continuación para obtener más detalles sobre el producto.

Teach Robots to "See" with OCR Technology

OCR is widely used for automation and optimizing business processes. The warehouse entry system uses OCR technology to identify the characters on the goods for the robotic arm to place them on the according shelf.

Image Recognition in Automated Garbage Classification

The automated garbage classification system uses image recognition to identify different types of garbage to put it in the bin.

AI image recognition is widely used for smart face detection to take better pictures, consumer market, as well as the security and surveillance industries.

Automated Restocking

The automated restocking system uses image segmentation to segment the goods in the picture, image recognition to identify different types of goods, and the robotic arm to put the goods on the corresponding shelf.

Teach Robots to "Understand" with Speech Recognition

The smart shopping system uses speech recognition to identify customers' orders, the robotic arm to pick up orders, and face recognition to pay.

Speech recognition technologies like Alexa, Cortana, Google Assistant, and Siri are changing how people interact with their environment.

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* Los datos proporcionados arriba representan los resultados de las pruebas obtenidos por el Laboratorio Dobot bajo ciertas condiciones de prueba, y pueden presentar ligeras variaciones en comparación con los escenarios de aplicación reales.

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