Artificial Intelligence on Android
Introduction of Artificial
Intelligence on Android
There have been a lot of technological
advancements paving their ways into the mainstream app development industry.
One of those witnessed trends has been artificial intelligence. Artificial
intelligence is the change and if you believe in predictive analysis and plan
your strategy that way, here is one prediction that can make your future that
the global market value of AI is going to cross 17 billion US dollars by the
end of 2020. The tech giant Google is also highly promoting AI and also released the AI based toolkit to aid the Android developers to come up with
apps easily and smoothly. The new toolkits are equipped with android jetpack to
get started and rolling with the best apps using AI.
Here is the list of the AI based features to
be incorporated in the Android app you are planning to come up with:
1) Face
detection
The new series of iPhones are coming up
with face ID to unlock the phone, it would be extraordinary Android comes up with
the same. Face detection is basically a computer technology being used in
several apps which not just identifies the human faces
but also presents them in different frames. For security-based apps and
tracking apps for people or objects, this is exactly what is needed to be
integrated. Snap chat is one such example of the app which recognizes the face
allows different filters and also faces swapping but AI can do much more.
2) Text
recognition
Text recognition basically stands for the
detecting the texts presented in the images or videos and fetching it from the
media files. Once the text is detected, we can then proceed to understand the
meaning of the actual text, breaking it down into segments and revealing the
original form of the same.
This will actually
be a very smart AI step to be inserted in the Android apps. Creating a separate
app can also be a great option or rolling out an update for the existing app
having this feature will also be great. There are gaming apps which are already
this text detection feature as a combined feature with different tasks.
3) Image Labeling
It
stands for an app used by the developers to assign an image label to the images
stored in the database. This will make finding an image easy in the bunch of
images. Now with the era of pictures and poses and selfish, take any smartphone
and it will be loaded with images. This feature can be of great use for the
people of any segment whether it is selfie addict teenagers or it is corporate
people, image labeling is a most useful feature for everyone. Image labeling will
label the images in a grounded data or region wise or shape wise or pixel-wise or according to
the scenes captured. You can search the images as per your memory and
convenience.
4) Landmark
Detection
It is all about hunting the particular
points in an image. This can be of great use in the specific research area. You
can hunt for images in a lab, or in a classroom, or in different locations like
India, Australia or in places like McDonalds or Subway. Users will be delighted
to use an Android app with such an AI feature.
Android
Science
Android science is an interdisciplinary framework for studying
human interaction and cognition
based on the premise that a very humanlike robot (that is, an android) can
elicit human-directed social responses in human beings. The android's ability
to elicit human-directed social responses enables researchers to employ an
android in experiments with human participants as an apparatus that can be
controlled more precisely than a human actor.
While
mechanical-looking robots may be able to elicit social responses to some
extent, a robot that looks and acts like a human being is in a better position
to stand in for a human actor in social, psychological, cognitive, or
neuroscientific experiments. This gives experiments with androids a level of
ecological validity with respect to human interaction found lacking
in experiments with mechanical-looking robots.
An experimental
setting for human-android interaction also provides a
testing ground for models concerning how cognitive or neural processing
influence human interaction, because models can be implemented in the android
and tested in interaction with human participants. In android science,
cognitive science and engineering are understood as enjoying a synergistic
relationship in which the results from a deepening understanding of human
interaction and the development of increasingly humanlike androids feed into
each other.
Some researchers broadly
construe android science to include all the effects of engineered human
likeness, such as the impact of humanlike robots on society or the study of the
relationship between anthropomorphism and human perception. The latter relates
to an observation made by Masahiro Mori that human beings are more sensitive to
deviations from humanlike behavior or appearance in near-human forms. Mori
refers to this phenomenon as the uncanny valley. In android science this
heightened sensitivity is seen as a diagnostic tool for enhancing the human
likeness of an android.
Security
and Permissions in Android
Android is a multi-process system, where each
application (and parts of the system) runs in its own process. Most security
between applications and the system is enforced at the process level through
standard Linux facilities, such as user and group IDs that
are assigned to applications. Additional finer- grained security features are
provided through a "permission" mechanism that enforces restrictions
on the specific operations that a particular process can perform.
Android mobile phone platform is going to be more
secure than Apple’s iPhone or any other device in the long run. There are
several solutions nowadays to protect Google phone from various attacks. One of
them is security vendor McAfee, a member of Linux Mobile (LiMo) Foundation. This foundation
joins particular companies to develop an open mobile-device software platform.
Many of the companies listed in the LiMo Foundation have also become members of
the Open Handset Alliance (OHA). As a result, Linux secure coding practice
should successfully be built into the Android development process.
However,
open platform has its own disadvantages, such as source code vulnerability for
black-hat hackers. In parallel with great opportunities for mobile application
developers, there is an expectation for exploitation and harm. Stealthy Trojans
hidden in animated images, particular viruses passed from friend to friend,
used for spying and identity theft, all these threats will be active for a long
run. Another solution for such attacks is SMobile Systems mobile package.
Security Shield –an integrated application that includes anti-virus, anti-spam,
firewall and other mobile protection is up and ready to run on the Android operating system.
Currently, the main problem is availability
for viruses to pose as an application and do things like dial phone numbers,
send text messages or multi-media messages or make connections to the Internet during normal device use. It is possible for
somebody to use the GPS feature to track a person’s location without their
knowledge. Hence SMobile Systems is ready to notify and block these secure
alerts.
