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Название: MATLAB Hardware Support Packages (R2025a)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: March 2025
Страниц: 2104
Язык: английский
Формат: pdf (true)
Размер: 22.1 MB

Interactively communicate with Arduino boards using MATLAB. Read and write sensor data, control actuators, and visualize results in real time—no code compilation required. Leverage thousands of MATLAB functions for analysis, plotting, and algorithm development with your Arduino-collected data. You can also create and distribute standalone MATLAB applications that interface with Arduino hardware over Serial, even on systems without MATLAB installed.

Using the Hardware Setup screens for the MATLAB Support Package for Raspberry Pi Hardware and Simulink Support Package for Raspberry Pi Hardware support packages, you can manage and customize your setup by installing only the select third-party libraries and packages on your Raspberry Pi hardware. You can reduce the bundle installation footprint on your Raspberry Pi hardware and reduce the support package installation time by installing only the bundles according to your application-based requirements.

The MATLAB Support Package for BeagleBone Black Hardware enables you to communicate with BeagleBone Black hardware remotely from a computer running MATLAB. The support package includes a MATLAB command line interface for accessing BeagleBone Black hardware's I/O peripherals and communication interfaces. Using this command line interface, you can collect data from sensors connected to BeagleBone Black hardware and actuate devices attached to BeagleBone Black hardware.

This chapter shows you how to use the MATLAB Support Package for Parrot FPV Drones to classify images captured by the drone's FPV camera. The MATLAB Support Package for Parrot Drones enables you to control the Parrot drone and capture images from the first-person view (FPV) camera. The images captured by the drone's FPV camera can be classified using GoogLeNet, a pretrained deep convolutional neural network. GoogLeNet is trained on more than a million images from the ImageNet database. It takes the image as input and provides a label for the object in the image.

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Автор: Ingvar16 23-06-2025, 07:48 | Напечатать | СООБЩИТЬ ОБ ОШИБКЕ ИЛИ НЕ РАБОЧЕЙ ССЫЛКЕ
 
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