Synopsis of interest and recognize objects in motion


Video analytics is a technology which is used to identify, record, and
analyze videos via electronic media. It gives Facial Recognition, Object identification,
detection and perimeter intrusion detection. It also helps user to detect
events of interest and recognize objects in motion and a range of behaviors on
a real time basis, without the help of human operator. It recognizes the
objects in motion based on various parameters such as size and shape. It offers
advance monitoring capabilities that conduct highly advanced video surveillance
which would allow them in achieving real-time intelligence monitoring and
improve the security by using automated alerts. The organizations are using
incident detection, perimeter intrusion, advance search and facial recognition
analytics to find accurate images and gather relevant information from various
cameras, which helps them to find patterns and draw meaningful information. It has
been observed that number of terrorist attacks, intensity and frequency of
security breaches are increasing at a high rate including number of robbery,
theft and shoplifting. Some big hypermarkets, hospitals, railway stations,
airports, hotels and malls across the globe which is resulting in increase in
demand for improved safety and security arrangement will drive the growth
prospects for video analytics market till the end of 2020. Also, the govt. in
various countries such as United Kingdom and the United States of America have
imposed very strong regulations to control anti-social activities which is encouraging
the rate of adoption of video analytics solution in the market. According to
analysts the global video analytics market is anticipated to grow rapidly and
will outperform a Compound annual growth
rate (CAGR) close to 30% till the period 2020-21.

We Will Write a Custom Essay Specifically
For You For Only $13.90/page!

order now


Currently, most of the companies are integrating and updating their
analytics software and providing their customers real-time intelligence monitoring
and improved security systems which use automated alerts. Unstructured videos
of poor quality cannot be used for investigation purposes hence they need a
good quality video which results in installation of high-end cameras which adds
to the cost and to stream that high quality video they also need to install
fast internet and high bandwidth which could match the compatibility of the
installed analytics system which lack behind in countries like India. Thus
installing a setup of video analytics includes a very high investment as the
technology is new and is in a developing stage, a lot of issues and bugs are
still in the system which is pulling back some customers. Since the system is
not fully fledged and there are still loopholes in the system which can be
bypassed easily. There can be possibilities of false alarms due to wrong
interpretations by the system and these can be fixed by regular updates.


There are many drivers which encourage the video analytics market

for actionable insights derived from increasing data pool of video streams in
org. is one of the major drivers for growth of analytics market. Incident
detection segment is also expected to record the highest in the video analytics
market. Use of mobile phones, rising safety and security concerns, rapid urbanization
and ensuring rise in public safety requirements by the government. Since now a days video surveillance is
becoming very popular a lot of data in the form of video recording is taken off
from many cameras and a huge data pool is been formed and that contains a lot
of useful information for the user. The intelligent video analytic uses various
algorithms to identify the unique movements from the video. It involves several
field-proven and expert deployments allowing the organizations to achieve
significant upgrades in the video surveillance systems. Video analytics is also
helping security and public safety organizations in increasing their
intelligence and investigative capabilities.


Globally, video analytics market firms are
acquiring various start-up companies to extend their product and service
portfolio and also to expand their operations in several countries. The video
analytics market is witnessing growth due to rising security and safety issues
worldwide, where manually locating individuals and incidents is time-consuming.
The need for intelligent video surveillance is increasing due to the additional
features it provides over the conventional systems such as greater accuracy,
scalability, and cost-effectiveness. Video analytics help in reducing crime by
providing alerts of any suspicious event.

The video analytics market is segmented
based on deployment (on cloud, on premise), type (software, services) and
end-user industry (defense & aerospace, healthcare, retail, airports, BFSI,
and critical infrastructure security).


The global video analytics market is highly competitive and
diversified due to the presence of a large number of regional and international
vendors across the globe. In addition, a large number of leading video surveillance vendors, video analytics vendors, and core analytics vendors
are increasingly focusing on mergers and
acquisitions strategies to expand their business on a global level and
increase their reach to customers.



In addition, the Artificial Intelligence
is capable of maintaining surveillance of hundreds of cameras simultaneously.
Its ability to spot a trespasser in the distance or in rain or glare is
superior to humans’ ability to do so. The hard-drive that houses the program
can either be located in the cameras themselves or can be in a separate device
that receives the input from the cameras.

Long story short video analytics has a huge
market today as well as in the coming future, irrespective of some short
comings which can be further nullified easily, the video analytics market will
very soon acquire the market as it is very helpful and advanced, and its
combination with Artificial Intelligence will be unbeatable. The A.I. has the
capability of self-learning with no initial programming input by the user or
security contractor. . In this type of analytics, the A.I. learns what is
the normal behavior of the people, vehicles, machines and the environment based
from its own observation of patterns and various characteristics such as size,
speed, reflection, color, grouping, orientation and so forth. The A.I.
normalizes the visual data, meaning that it classifies and tags the objects and
patterns it observes, building up continuously refined definitions of what is
normal or average behavior for the various observed objects. After several
weeks of learning in this fashion it can recognize when things break the
pattern. When it observes such anomalies it sends an alert.