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Advantages of using Artificial Intelligence in Video Surveillance

Advantages of using Artificial Intelligence in Video Surveillance

AI video analytics has gained immense popularity over the past couple of years due to the innovative mechanisms deployed to analyze video content. Despite being in its nascent stages, this technology has received wide acceptance which is evident by its massive growth. According to a recent projection, the AI video analytics market is all set to grow into a $24,341.5 million industry by 2027.

Nevertheless, business leaders must be extremely cautious while choosing an AI solution to protect their place of business. Currently, the physical security industry is exploding with video surveillance tools and applications.

We know how overwhelming this can be and to make that convenient we shall now discuss the actual advantages of using AI technologies such as face recognition, object detection, and intrusion detection from a security perspective. As we discuss each advantage, we shall analyze its efficacy in real-world scenarios.

Real-time threat detection

Video surveillance has long since been criticized as a reactive technology and was deemed unfit for real-time threat detection. Back in the days, security teams had to rely on external security cues and plan further measures accordingly. This involved manually monitoring cameras after being informed of a potential attack which in most cases was futile.

The present-day video surveillance makes use of AI video analytics and is capable of detecting and reporting anomalies within a fraction of a second. Thus, making it a highly reliable proactive security system. It is therefore important for public places with heavy footfall and large campuses like airports, retail outlets, tourist hotspots, etc. Those places have hundreds of cameras, so non-AI video surveillance would result in lengthy video footage and evaluating those manually would be a tedious chore. People are prone to fatigue which inevitably results in a decline in productivity and response time and increases the possibility of human error.

There are many other ways in which AI video surveillance can make operations smoother in such a place as an airport. A few to mention are parking supervision, monitoring entry points, tracing lost or misplaced luggage, streamlining runway operations, enforcing social distancing, thermal screening, and much more. You can check out how Scylla AI video analytics was deployed for Oman International Airport to see how artificial intelligence can be leveraged during the pandemic for thermal screening and mitigation of risks.

Powerful Intrusion Detection Systems

According to the FBI, over 57.5% of burglaries involve forceful entry, 6.3% are forced entry attempts and 36.2% involve unlawful entrance into protected properties. Therefore, a powerful intrusion detection system is the first line of defense and an invaluable tool for any organization or individual. It is most effective when the detection response time is faster and there are negligible false positives.

One cannot expect this from motion detection cameras which are highly erroneous. Unless powered with AI video analytics, motion detection cameras are unintelligent devices that alert against everything that moves, be it an animal or even a shadow change. Moreover, the number of false alarms raised by unintelligent cameras can range anywhere between 100 to 150 per camera per day. This can be quite a burden for places with hundreds of security cameras installed to monitor thousands of visitors.

We say this because on average one camera is used to monitor four people in the US. Now, that should give you a fair idea about how bad it can get for a hypermarket or an airport that has hundreds of security cameras. Moreover, the PTZ cameras which are commonly installed at such places require the right AI solution. Scylla Intrusion Detection technology can fill this void as it is fully capable of being integrated with it and can also analyze the feed in real-time.

Scylla Intrusion Detection System can solve this issue by creating an intelligent surveillance infrastructure that works exceptionally fast with a response time of under one second. As it is trained on a comprehensive dataset, Scylla is capable of identifying specific humans and objects drastically reducing false positives by 99.95%.

If intrusion is detected, Scylla sends essential visuals and metadata to the security unit which enables them to take prompt action. It can also be configured with access management tools to lock certain parts of the premises in case intrusion is detected. In the case of banks, it can be configured to lock the bank vaults and other zones. On the other hand, schools and colleges can also use it to automatically seal classrooms if an intruder or gunman is detected. With Scylla object tracking technology, the gunman can be tracked on campus real-time even after the weapon has been hidden.

Artificial intelligence in video surveillance

Smart Object Detection

Traditional computer vision algorithms were outrageously flawed due to the manner in which they were programmed. Those algorithms were designed to identify objects based on geometric patterns. So, those systems could detect harmful objects based on their shapes only. That made no sense because it did not consider the origin of the object and how it was handled while drawing a conclusion.

Scylla Object Detection system comes with an innovative neural network that takes into consideration all of these aspects before reporting an incident which brings down the rate of false alarms to below 1%. Furthermore, it can be used to detect both visible and concealed weapons by integrating with the appropriate hardware infrastructure.

To identify concealed weapons, Scylla must be attached to the X-Ray or the millimeter-wave scanning machine while the CCTV and drones are adequate to detect visible weapons.

Loss Prevention

In 2019, over 73% of property crimes in the US included some form of larceny and that led to a total loss of over $5.9 billion. Of those larceny crimes, over 22% included shoplifting and thus summed up to about $1.3 billion in reported losses.

According to yet another study reportedly issued by the National Retail Federation Survey, US retailers lose over $50 million US Dollars annually due to theft and shoplifting accounts for about 36% of that. This menace can be curbed with Scylla’s Retail Suite, which is a comprehensive AI video analytics solution that’s designed for retailers. Its proactive loss prevention mechanism helps detect suspicious behavior that may result in shoplifting.

Scylla is a next-gen AI Video Surveillance solution that not only allows enforcement of loss prevention measures but can also provide heat maps for smarter merchandising efforts and consumer behavior analytics. Finally, it also aids in enforcing social distancing measures such as wearing masks and maintaining a reasonable social distance. None of that is possible through cameras not powered by AI analytics unless a large team of security personnel is deployed to check real-time video streams, which in most cases is impractical.

Quick Data Extraction

Reactive security measures such as looking through video footage to get more information about events forensically might seem easy but without AI video analytics, it can be extremely difficult and time-consuming. Security personnel working at large campuses and business premises like airports, universities, hypermarkets and other similar places would agree with this.

After all, such places have hundreds of cameras installed and each camera runs 24/7, accumulating an enormous amount of data. These bulky video footages make data extraction quite a challenge. Nonetheless, it is essential for investigations and law enforcement officers, and that’s when AI video analytics can be of great use.

Present-day AI-based video surveillance systems enable the user to search for a specific action or object in all the footages much faster than the human eye would be able to. Engaging AI in forensic analysis drastically reduces the amount of time that goes into extracting insightful data to investigate issues.

Final Takeaway

We have discussed some of the key advantages of using AI-powered video surveillance as part of your security infrastructure. These are designed to keep your business premises safe by preventing loss caused due to shoplifting, intrusion, robbery, and other types of high-impact events. This is achieved through a series of algorithms that are programmed to work in tandem with existing cameras and video management systems, to create a truly intelligent and proactive surveillance system.

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