Over the last couple of years, we have witnessed many new and emerging technologies making their way straight into the mainstream industry verticals. Among these technologies, AI (Artificial Intelligence) has been one of those technologies which are contributing to the current evolution of technology.
So, that's why the team of MobileAppDaily has decided to cover the role of A.I. in Android app development and what is the importance of artificial intelligence in the mobile app development industry. As an advancement, AI technology explains the use of human-level intelligence with the concepts of machine learning.
According to a recent report by Statista, the global market value for Artificial Intelligence is estimated to cross the threshold of more than 17 billion U.S. dollars by the end of the year 2020.
In the contribution to the above graph, there are several major uses of AI technology that are responsible for boosting the global value of the artificial intelligence industry. Some of these major uses are:
These are few of the many revenue-generating proportions of artificial intelligence that are also contributing to the enterprise mobile app development market.
The technology of Artificial Intelligence is basically making the machines capable of learning and interacting in a similar way to that of human beings. These advances A.I. machines and applications are meant to provide benefits to humans by assisting in getting basic tasks done in an appropriate way that delivers an accurate result.
Another reason that the AI-based apps and machines are highly productive is that they are not subjected to various emotional challenges that are usually faced by humans and can eventually lead to errors in the tasks. For instance, artificial intelligence apps are not biased towards a particular situation so there won't be any flaw in the judgment made with AI technology.
This trending technology has virtually found its way in every significant industry vertical, from the tourism sector to the healthcare & medicine sector, AI in mobile devices is now a complete reality that we are currently living in.
Even the tech giant, Google made the official announcement of shifting its primary priorities in the Google I/O Conference, held in the year 2017. So, instead of 'Mobile First' Google has now opted for 'A.I. First,' and along with this, an entirely new series of programs and toolkits was released as well.
The motive behind releasing these new AI-based toolkits and programs was to promote the technology on the basic level where Android developers from all across the globe can smoothly create artificial intelligence apps for the Android platform. The entire new series of toolkits also includes the Android Jetpack which allows the Android app developers to just start with the mobile app development.
Apart from this, the new Machine Learning (ML) Kit, the Android app developers have now access to more innovative tools to know about the trending technology and implement its practices in the real world. The base APIs provided in the ML Kit enables some of the top-notch mobile application development services to be integrated into our day-to-day activities.
For instance, China has the world's largest monitoring system with 170 million CCTV cameras installed across the country. And it took Chinese authorities a total of just seven minutes to locate and capture the BBC reporter, John Sudworth, with its powerful facial recognition technology and the huge network of CCTV cameras.
Some of the leading features that have evolved from the technology of artificial intelligence are:
The feature of Landmark Detection on two-dimensional (2D) image consists of finding out the particular points in the image. These are the points that can be typically defined by specialists in a particular research area. Here, in most of the cases, the process of detection can be referred to as an initial step for a major procedure. For example, a Facial Landmark Detection.
In the process of image labeling, developers have the option to use an Image Labeler app that can interactively label the ground data in a collection of images. Or they can label rectangular ROIs (Region of Interest) for the purpose of object detection, pixel semantic segmentation, and even image classification of scenes.
Face detection can be defined as a computer technology that is now being used in a variety of applications that identifies human faces in digital images. It can also be used to detect faces in real time for the surveillance purpose or tracking of person/objects. Today, it is widely used in Android as well as iOS smartphone cameras to identify multiple appearances in the frame.
The above image shows the use of the face detection feature in different frames and detecting various faces at the same time. Another example of this feature can be seen in one of the most popular social networking networks, Facebook, where it uses its own face detection algorithm to detect the faces in the users' pictures and recognize them.
The process of detecting the text in images as well as video formats and then recognizing the text obtained from the media files is known as Text Recognition. After the text is detected, we then determine what the actual text means by breaking it down into blocks and segments so that true form of text can be revealed.
The app developers can use the feature of text recognition as a stand-alone application, or it can further be combined with different mobile apps as an additional feature. For example, there are many gaming apps that use this feature in combination with different tasks.
We are well aware of the fact that the AI technology in Android is advancing rapidly and in the coming years, there are more likely to be bigger app development services regarding the same. This is exactly why many leading companies are incorporating new trends in their digital products and services.
This is due to the fact that with artificial intelligence, organizations can reach out to more potential customers in a much more effective and efficient way. In case you are interested in reading more such articles that provide additional information about the topic of artificial intelligence then make sure you hit that ‘Subscribe’ button and stay notified with daily updates.
Tanya Singh currently works as a Content Strategist for MobileAppDaily who is known to have an undying appetite for good content especially when it comes to trending technologies like Artificial Intelligence, Blockchain, and IoT. In her free time, you will find her binge-reading through the latest gadget and app reviews.Follow