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This project demonstrates how to use Camera2 API and FirebaseVision API to detect and extract texts from images.
This project is to show the use case of quick deposit on Android device. Suppose user wants to take a photo of a check and deposits it to his/her checking account. The photo cannot be an image of dog, cat, laptop, chair, floor, etc. It needs to a check image. However to validate it is a check image, all the work is done on server side nowadays and this project is to use a tensorflowlite model running on Android device to classify the image. With this, 75% of the fake images will be blocked in front end and server doesn't need to handle those http request with fake images.
- Android SDK 27
- Android Build Tools v27.0.2
- Android Support Repository
This project uses the Gradle build system. To build this project, use the "gradlew build" command or use "Import Project" in Android Studio.
It is free, and may be redistributed under the terms specified in the LICENSE file.