Exploring Firebase MLKit on Android: Landmark Detection (Part Four)

At Google I/O this year we saw the introduction of Firebase MLKit, a part of the Firebase suite that intends to give our apps the ability to support intelligent features with more ease. With this comes the landmark recognition feature, giving us the ability to detect known landmarks within an input feed so that we can display this landmark information on-screen to the user. In this post I want to dive into how we can implement this feature into our applications. Landmark recognition is something that may not be applicable to every application, but when it is required it could…

Exploring Firebase MLKit on Android: Barcode Scanning (Part Three)

At Google I/O this year we saw the introduction of Firebase MLKit, a part of the Firebase suite that intends to give our apps the ability to support intelligent features with more ease. With this comes the barcode scanning feature, giving us the ability to scan barcodes and QR codes to retrieve data from the real world and manipulate it inside of our applications. In this post I want to dive into how we can implement this feature into our applications. When I first started looking into Ml Kit I’ll admit that the bar-code scanning feature was the one I…

Exploring Firebase MLKit on Android: Face Detection (Part Two)

At Google I/O this year we saw the introduction of Firebase MLKit, a part of the Firebase suite that intends to give our apps the ability to support intelligent features with more ease. With this comes the face recognition feature, giving us the ability to recognise faces along with the ‘landmarks’ (nose, eyes etc) and expressions of those faces. In this post I want to dive into how we can implement this feature into our applications. There are many case in our apps where we may want to utilise the detection of faces. Maybe you want to perform facial verification,…

Exploring Firebase MLKit on Android: Introducing MLKit (Part one)

At Google I/O this year we saw the introduction of Firebase MLKit, a part of the Firebase suite that intends to give our apps the ability to support intelligent features with more ease. The SDK currently comes with a collection of pre-defined capabilities that are commonly required in applications — you’ll be able to implement these in your application regardless of whether you are familiar with machine learning or not. Now, what Firebase ML Kit offers to us is already possible to implement yourself using various machine-learning technologies. The thing with Firebase ML is that as well as offering these capabilities underneath…