Holis, Mohammad Nur (2024) IMPLEMENTASI ROBOT CERDAS KINECT XBOX MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK DETEKSI DAN RESPONS DINAMIS TERHADAP LINGKUNGAN. Undergraduate thesis, Universitas Pembangunan Nasional "Veteran" Jawa Timur.
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Abstract
Robots are products developed by robotics science that have been programmed into them, and can interact with humans. There are many types of robots, such as industrial robots that help in the industrial sector, and service robots that are used in industries such as restaurants, entertainment and health. With a program connected to the robot, it allows devices to be connected via the internet network, one of which is Internet of Things (IoT) technology which is very important for human life. The intelligent deep learning system uses the convolutional neural network (CNN) method to recognize visual patterns in images. With the help of IoT technology, humans can use the CNN method to create more dynamic and responsive interactions with robot surveillance systems via the Xbox 360's Kinect camera. The Kinect Xbox robot consists of a Kinect Xbox 360 camera that can detect objects in the surrounding environment. Dynamic response interaction refers to a robot's ability to adjust and adapt to changes in the environment. With the help of the Xbox 360's Kinect camera, the CNN method can detect and process data for system analysis. Enables human-machine interactions that are simpler to understand. The research yields great potential for turning RC cars into intelligent robotic systems that can interact with the environment and do many things, such as monitoring security and carrying out complex environmental investigations, using IoT technology, Xbox 360 Kinect cameras, and CNN methods with the MobilenetV3 architecture so that it is very fits within limited resources.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | T Technology > TE Highway engineering. Roads and pavements T Technology > TF Railroad engineering and operation T Technology > TG Bridge engineering T Technology > TH Building construction T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics T Technology > TP Chemical technology T Technology > TP Chemical technology > TP155 Chemical engineering |
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| Divisions: | Faculty of Computer Science | ||||||||||||
| Depositing User: | Nur Holis Mohammad | ||||||||||||
| Date Deposited: | 23 Jul 2024 03:56 | ||||||||||||
| Last Modified: | 23 Jul 2024 03:56 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/27177 |
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