Artificial Intelligence (AI)-based apps are highly productive as they aren’t confronted by emotional challenges which result in errors in the tasks. Because AI is unbiased towards a particular situation, there will not be any judgement errors committed with AI technology.
The mix of AI technology with Android has percolated into every industry vertical, from the healthcare, tourism to medicine sector. Whatever AI in mobile is an accepted reality with which we have to live.
Even Google, in the Google I/O 2017, made the official announcement of a major shift of primary priorities. Thus Google took the ‘A.I. First’ route instead of ‘Mobile First’ followed up by the release of a new series of toolkits and programs.
The reason behind the release of these AI-based programs and toolkits was to promote the use of tech on the basic level where Android developer community can smoothly develop AI apps for the Android platform. The latest series of toolkits is packed with the Android Jetpack which allows the Android app developers to make headway into AI-based apps. Besides, the latest Machine Learning (ML) Kit, the Android app developer community can access the newest tools and implement in real time. The ML kit provides base APIs for quick integration into the development process.
Some of the leading features that have evolved from the technology of artificial intelligence are:
Landmark Detection:
This application is used to detect landmarks of detected faces in an image. Landmarks of all the faces in an image can be detected and used further in several applications including face averaging, face swapping, etc.
Image Labelling:
In the image labelling process, developers get access to an Image Labeller app that could label ground truth data set interactively in a collection of images. Or developers can label rectangular Region of Interest (ROI)s for pixel semantic segmentation, image classification of scenes and object detection.
Face Detection:
Face detection is used in a slew of applications that help identify human faces in digital images. It is extensively used in the purpose of tracking or surveillance of persons and object in real time. This technology is used in iOS and Android phone cameras in the identification of multiple appearances in the image frame. This technology is used in social networking sites like Facebook where its own face detection algorithm is used in the detection of people’s faces in the users’ images and identifies them.
Text Recognition:
Text Recognition is the process of detection of text in images and video formats followed by text recognition extracted from the media files. After detection of text, the meaning of the actual text is determined, broken down into segments and blocks so that the text’s true form can be revealed.
The text recognition can be used either as a stand-alone app, or it can go with different mobile applications as an added feature. For instance, there are several gaming apps which feature this in addition to different tasks.
With AI, no doubt, organizations can reach out potential customers faster, given the technological height that Android platform has reached today. That is why many companies are taking stock of this game-changing tech stack.
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