TensorFlow Lite Driver Monitoring System Android Demo

Overview

This is a camera app that continuously detects the face(blink and yawns) in the frames seen by your device camera, using a driver monitoring service running on remote server and provide Distraction and Drowsiness percentage along with warning tones. These instructions walk you through building and running the demo on an Android device.

Application can run either on device or emulator.

Build the demo using Android Studio

Prerequisites

• If you don't have already, install Android Studio, following the instructions on the website.

• You need an Android device and Android development environment with minimum API 21.

• Android Studio 3.2 or later.

Building

• Open Android Studio, and from the Welcome screen, select Open an existing Android Studio project.

• From the Open File or Project window that appears, navigate to and select the "android" directory from wherever you cloned the DMS sample App GitHub repo. Click OK.

• If it asks you to do a Gradle Sync, click OK.

• You may also need to install various platforms and tools, if you get errors like "Failed to find target with hash string 'android-21'" and similar. Click the Run button (the green arrow) or select Run > Run 'android' from the top menu. You may need to rebuild the project using Build > Rebuild Project.

• If it asks you to use Instant Run, click Proceed Without Instant Run.

• Also, you need to have an Android device plugged in with developer options enabled at this point. See here for more details on setting up developer devices.

Build and Install

• To build and install this repository.

cd android
./gradlew assembleRelease

Additional Note

Please do not delete the assets folder content. If you explicitly deleted the files, then please choose Build->Rebuild from menu to re-download the deleted model files into assets folder.

License

Apache License 2.0