#app development

This article explains how to create Flutter application template with GitHub Actions to save yourself time and nerves.

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In the last Android development tutorial we’ve cover light source detection using OpenCV. This time we’ll cover edge detection, which allows us to distinguish objects from background. This task is usually the starting point to more advanced content analysis (e.g. determining object features, quantities etc.).

In the last Android development tutorial we’ve covered drawing a histogram using OpenCV. This time we’ll show you how to detect light sources in an image. This feature comes in very handy when building an Android app that has to perform quality checks on user-generated photographs (e.g. sending documents for proof).

In the last tutorial we’ve covered OpenCV and Android Studio project integration. This time we’ll try to make actual use of this setup. A code sample that we’ve used in a commercial Android application can be found on our GitHub page.

Are you building an Android app to detect if a photo is blurry or overexposed? Then you should definitely try OpenCV: the library, which provides extensive solutions for analysing and processing photographs. If you’re interested in knowing how to add OpenCV to your project in Android Studio, keep on reading.