There is a phenomenal increase in criminal incidents in today’s society. Such incidents often get reported in the media which causes fear and panic among the public. As a result, everyone has become conscious about protecting themselves and their assets from potential security risks and incidents involving criminal elements. To identify and cope with the threats and to boost their security against them, businesses and homeowners have installed CCTV video surveillance cameras at their premises.
These cameras continuously capture and record video footage of a specific area or location. Studying and analyzing huge amounts of video footage obtained from multiple cameras requires adequate time and resources. A business or homeowner may not be able to analyze the captured video data himself due to a lack of time and resources. Even if they hire security personnel for this purpose, they too may not be able to analyze the data efficiently and accurately due to sheer volumes of data. As a result, some security risks or incidents may escape their attention. So they may not be able to proactively respond to and prevent security risks and incidents.
This limitation of humans in analyzing voluminous amounts of raw CCTV video footage is better addressed by technology. AI-based analytics systems like Garud AI are the technology-aided solution that can effectively resolve this video monitoring and analysis problem. They use the power of AI (Artificial Intelligence) to make video analysis fast, efficient and accurate.
Before going ahead to tell you more about artificial intelligence-driven analytics systems, let us first tell you about artificial intelligence.
What is Artificial Intelligence?
Artificial Intelligence or AI is a field that makes use of computer science and data for simulating human intelligence. AI programs computers and machines to think, understand and learn like humans. It is used for problem-solving in machines. There are various applications of AI, including video analytics, image recognition, language translation, etc.
There are multiple subsets of AI, but Machine Learning and Deep Learning are two important subsets or types of AI that are used in AI-based video analytics.
What is Artificial Intelligence-based video analytics?
AI-based video analytics refers to the process of extracting actionable conclusions and insights from the data collected in the form of digital video.
An AI-powered video analytics solution uses the capabilities of artificial intelligence to simplify and ease repetitive and tedious video observation tasks performed by humans. Its AI algorithms can be trained to observe data. Also, they can also be trained for detecting, identifying, categorizing and automatically tagging particular objects from large volumes of video footage.
Overall, AI-driven video analytics is a tool that assists humans in understanding video content. Also, it helps them make automated decisions based on the observations made from the collected data.
Main Components of AI-Based Analytics Systems
Machine Learning and Deep Learning are two key components of AI-based video surveillance analytics systems. Let’s know more about them.
Machine Learning
Machine learning involves the use of algorithms for analyzing data and learning from the collected information. Then they apply this knowledge to base future decisions with zero to minimal human interference.
So humans need not code every decision that can be made by a computer. Instead, a computer is trained by collecting, processing and learning from the data and then comes up with decisions on its own. Over time, machine learning algorithms can improve the tasks with the help of experience gained by them.
Deep Learning
Deep learning is a subset of machine learning. It makes use of artificial neural networks to mimic the learning processes of a human brain. Deep learning processes information in a non-linear manner which is similar to the way information is processed by the human brain.
Deep learning can absorb and learn from much larger, diverse and unstructured data sets in their raw form including photos, numbers and texts. Deep learning algorithms can learn from observing patterns that occur in the clusters of continuous and large volumes of data it collects and processes.
Deep learning can learn automatically and extract features directly from the raw data which removes the need for manual feature engineering.
Deep learning is a more advanced and developed type of Machine Learning that can handle complex data sets. Also, it eliminates the need for engineers to explicitly code and categorize datasets. This thus makes data processing and learning speeds faster and more efficient.
Let’s now know more about the functioning of AI-driven video analytics systems.
How Do AI-Based Video Analytics Work?
AI-empowered video analytics solutions use a technology called object recognition which makes the use of deep learning. This technology is part of a branch of computer science that is known as Machine Vision. It studies how computers can see.
Object Recognition
Object recognition is a collection of related tasks that are performed for identifying objects in digital photographs.
Image classification is the first task where a class is predicted for an object in an image.
Object localization is the second task where an object’s location in an image is identified with a bounding box and a class label.
Then the object detection task combines these two tasks of classifying and localizing the objects detected in an image. The term object recognition is often used for the object detection task. Object detection is considered a subset of object recognition.
Utility of AI-Based Video Analytics Systems:- The AI-driven video analytics solutions help to enhance the security management and response, decision making and other related capabilities of businesses, homeowners, security firms and others. They achieve this by collecting, processing and analyzing huge amounts of video data in an efficient and fast way. They provide users useful and timely actionable insights into suspicious activities and characters and potential security threats at a place. These include weapon-carrying individuals, bags left out at isolated places, unauthorized visitors and vehicles, etc. The analytics systems send timely security alerts on their device which enables the concerned people to act swiftly to prevent any threats and incidents.
These systems also help the concerned agencies to collect, process and analyze the video footage to conduct forensic investigations after the incidents have occurred.
They can track your property on a 24 x 7 basis, so you need not be concerned about its security even when you or your security staff is away. Also, they give you full control over your property’s security situation through your device whether you are there or away.
These systems thus help to effectively address the limitations of property owners in observing and identifying security threats and risks from huge amounts of raw video footage.
By now you may have gained a good understanding of how valuable AI-empowered video analytics systems are for boosting your property security and giving you peace of mind. So it is quite easy for you to decide in favour of using a smart and intelligent Artificial Intelligence-based video analytics solution like Garud AI at your place. It is better to take this decision sooner than later because your premises security can’t wait.
