A Detailed Guide To Video Analytics : Blend Of Applications & Opportunities
A quick recap of all the topics that are going to be covered in the blogs are mentioned below.
- What is it
- Industry applications
Video Analytics has seen to attract a lot of users both from the industry as well as the academic world, the constant increasing interest in video Analytics which is also referred to as video content analysis has made our lives infinite times easier. Technology has taken a huge leap and the enormous advances that have been made in deep learning has now introduced automation of tasks that were at a time a human speciality and an exclusive manual task.
As mentioned earlier, technology has taken a huge leap and the contemporary improvements that have been made to video Analytics has been a game changer. From applications that have the capability to count people present at any event to automatic applications that recognise licence plates, we can enlist numerous applications by Video Analytics that will dazzle you to the core.
Now it is of no doubt that these kinds of technologies will surely attract you and look pretty amazing but the greater question still remains: how does it function and how can it prove itself to be beneficial for your enterprise?
Reading this blog will help you discover the fundamental notion of video analytics, how it is being used recently to automate the processes and gain profitable insights and the important point that one must consider before involving any application of Video Analytics into your business.
What is Intelligent Video Analytics?
The ultimate goal of video Analytics is to recognise temporal and spatial events automatically. So now if any suspicious activities that take place in a video, traffic signs when not obeyed, if smokes and fire take place suddenly, it will all be detected by a video analytic software when used.
What Is Real Time Video Analytics & Video Mining
Often these systems are used for performing real time monitoring in which various factors are kept in mind, if any object gets misplaced, the warning is automatically generated. The various factors that help in determining are object, object factors, movement patterns, video Analytics can also be used to mine insights after analysing the historical data, the forensic task can be very helpful in answering numerous questions that can help your business grow. Two of the most useful questions are mentioned below.
- What is the presence of customer in my store and their age distributions
- How many times in a day does a red light run and what are the licence plate vehicles that are doing it?
Several Known Applications For Video Analytics
Numerous examples of video Analytics were already in the spotlight and were known to every possible human regardless of the fact that he/she belonged to the technical field or not, one great example of such application is video surveillance that has been reported for existence and helping the human kind for more than 50 years from now. Principally, the idea behind it is pretty simple. One needs to install cameras in a strategy to give access to human operators to decide whatever has to happen in a confined space, room, area or that place.
However, it is not as easy as it sounds like. The operator is usually provided with the task to manage more than one camera and according to a research conducted by the group of researchers, when the number of cameras increases, the performance of the operator is gone down, in a way, one can say that,
“The number of cameras increasing leases to the performance of the operator is decreasing.”
In simple terms even if there is an abundance of hardware as well as generating signals, the formation of bottlenecks takes place when all the signals have to be processed manually. That’s when video Analytics software walks in to contribute in a major way by providing accurate dealing with all the information that it watches.
Video Analytics & Deep Learning
If you look through the history of video Analytics, it is more than evident that machine learning, especially deep learning has revolutionised the entire game of Video Analytics.
The usage of Deep Neural Network is helpful in training the video analysis systems that usually mimic human behaviour. The whole procedure started with a simple step which was based on computer vision where an alert was created whenever the image went too dark or if any drastic changes were seen in the video and shifted to systems that were capable of identifying specific objects in an object and tracking their way.
Optical Character Recognition has been helpful in extracting texts out of an image for a long time. For instance, if any detail has to be taken from a licence plate that has caught the attention of VA, the texts can easily be taken out with the help of an OCR.
Video Analytics or Artificial Intelligence in general has been a lot useful since ages when it comes to easing manual work and doing it way better than any human ever can. The amount of accuracy and reliability is way higher with the help of machines which is why it has started to get widely adapted in different sectors to ease the work of humankind.
One of the most adapted places that have purely dived into the technology and thrive by it are healthcare firms. Healthcare institutions have spent a huge amount in Video Analytics to ensure the safety of the patients, visitors, staff that has to be put under strict inspection. Cases like theft, baby abduction and misuse of drugs are some common examples that video Analytics has proved itself to be useful in.
Real World Examples
A few years back, the University at Buffalo designed an application that detects autism spectrum disorder just with the help of a simple smartphone. The app used to detect the issue just by the facial expression by the child with the help of your camera, the app particularly notices the eye movements of the user and can tell whether or not the person is going through Autism (Since the eye movement of people with ASD are different from people who do not have ASD)
Smart Cities / Smart Transportation
It is not questionable that Video Analytics has proved itself to be of tremendous use while talking about smart cities or tracking the traffic jam on a busy road.
Especially in urban areas where there is a constant rise in the traffic, if there’s no strict surveillance, it would directly lead to mismanagement, accidents and raise a crisis situation if not properly taken care of. Video Analytics can monitor traffic jams, detecting crisis or dangerous situations and also helpful in collecting evidence in case of litigation.
Talking about the recent years, the usage of machine learning and video Analytics has been a boom in the retail sector. Organisations use video Analytics to have an idea of who their customers are and their set of behaviour. VI also has anti theft mechanisms which will help in spotting a shoplifter or any person hiding any items in their bag.
Video Analytics Solution
There’s an abundance of solutions in Video Analytics, from common yet classic security system cameras to something more complex such as a smart home or a hospital. You can opt to take the assistance of one of these solutions, however, it is mandatory to know that these solutions can be customised only to a certain degree.
Many organisations aim to increase specific insights in order to complete individual goals with the help of Video Analytics which usually requires a more optimised software.
We would be doing injustice if we say that we can wrap the amazing work done by video Analytics in a blog. The constant usage and benefit that this technology is providing is nothing less than a boon. We hope after reading this blog, you have a better understanding of video Analytics, it’s usage and the way in which it works. How you can leverage video Analytics in your organisation is simply countless.
Here at Metaorigin, we have developed a machine learning solution in the year 2020. Partnering with different organisations have let us understand what are the thriving challenges and how can we solve them in a better way to crank their business up a notch.
For more info visit us at www.metaorigins.com