Attention: This app was created in 2016. I was a beginner to Android development and Computer Vision back then. So don't expect a perfect code please. Over the years I updated the dependencies and converted it to Kotlin, while the business logic remained unchanged.

Note: Originally I targeted min SDK 15 (Android 4), more architectures ("mips", "mips64", "armeabi") and OpenCV 3 with this project. Nowadays the repo uses newer versions. If you need to support older devices, then you can look back in the repo's Git history (app version 1.1 / Git tag 2)

• Uses the camera image to search for a specified template image within it via a feature matching approach using the OpenCV library. The detected object is marked with lines within the scene. This can be used to e.g. find a logo.
• More computer vision projects at https://michaeltroger.com/computervision/

• IDE: Android Studio (tested with 2023.3.1)
• Android SDK
• Template image location: res/drawable (chooseable in MainActivity)

Used default template image:

Copyright of the logo: The Coca-Cola Company

Michael Troger

• The feature matching is based on this official OpenCV tutorial http://docs.opencv.org/2.4/doc/tutorials/features2d/feature_homography/feature_homography.html Unlike in this application their version is using OpenCV 2, C++ and is for use with regular static images