Run onAndroidDevice

Convert model to an application and run it on an Android™ device

Guides and tutorials on how to convert a Simulink^®model into an application and run it on an Android device.

Topics

Run Model on Android Devices
Create and run a Simulink model on an Android device.
Simulink Scope Block and Mobile Apps
The features and properties of using the Simulink Scope block with mobile devices.
DSP System Toolbox Array Plot Block and Mobile Apps
The features and properties of using the DSP System Toolbox™Array Plotblock with mobile devices.
Troubleshoot Task Overruns on Android Devices
Understanding and fixing overruns.
Tune Parameters and Monitor Data in Model Running on Android Devices
Use your host computer to monitor and control a model running on an Android device.
Communicate with Hardware Using Connected IO
Get peripheral data from the hardware before deploying the Simulink model on the hardware.
Import Project to Google Android Studio
Import project to Google Android Studio.

Featured Examples

Communicating with Android Devices

Use the Simulink® Support Package for Android™ Devices to tune the parameters and monitor the signals of an algorithm running on an Android device.

Open Example

Monitor Accelerometer Data Using Gauges on Android

Deploy gauges on an Android™ device by using Simulink® Support Package for Android Devices. The Simulink model used in this example showcases the visualization capabilities of the Gauge and Half Gauge blocks. On deployment, the support package generates a standalone application with three gauges that monitor the accelerometer data along the three axes of the device in real-time.

Open Example

探测和跟踪对象ing Deep Learning on Android Device

Use the Simulink® Support Package for Android™ Devices to deploy a deep learning algorithm that detects and tracks an object on your Android device such as a phone or tablet. This algorithm uses the ResNet-18-based YOLOv2 neural network to identify the object captured by the camera. You can experiment with different objects around you to see how accurately the network detects images on your Android device.

Open Example

识别和显示口头指令on Android Device

Use the Simulink® Support Package for Android™ Devices to deploy a deep learning algorithm that recognizes and displays commands spoken through your Android device such as a phone or tablet. This algorithm uses a deep learning convolutional neural network to recognize a given set of commands and displays them on the dashboard of the application. The algorithm used in this example is pretrained to recognize these commands: yes, no, up, down, left, right, on, off, stop, and go. The algorithm also recognizes silence and background noise.

Open Example

Code Verification and Validation Using PIL Simulation on Android

Use the Simulink® Support Package for Android® Devices for code verification and validation using processor-in-the-loop (PIL) simulation on Android devices. It introduces the Simulink code generation and verification workflow by showing you how to configure a Simulink model to run PIL simulations on Android devices such as phones or tablets.

Open Example

Classify Human Voice Using YAMNet on Android Device

Use the Simulink® Support Package for Android™ Devices and a pretrained YAMNet network to classify human voices.