In today’s digital age, companies are adopting digital transformation through technologies like Artificial Intelligence (AI). The World Economic Forum estimates that $100 trillion will be added to the global economy through digital transformation by the year 2025.

On the flip side, technological advances are also posing more threats as forces committed to terrorism, bombing, and vandalism tap the available power for their nefarious means. Criminals are increasingly targeting sensitive establishments like airports, military bases, and oil refineries with ever-more sophisticated solutions and escalating threats. 

In essence, this is driving the current boom in video surveillance. In the U.S alone, the number of surveillance camera installations grew from 47 million in 2015 to 85 million in 2021. The global market for video surveillance is expected to reach $62.6 billion in 2023.

Along with connected devices, we are increasingly seeing the adoption of AI and Visual Analytics for securing sensitive establishments. AI-powered video surveillance provides security teams with real-time notifications of potential threats, thus preventing successful attacks.

Here are five real-life use cases of AI and Visual Analytics in securing major establishments:

1. Facial Recognition

According to the Centre for Strategic & International Studies (CSIS), facial recognition systems can provide 99.97% accuracy. AI-powered facial recognition has achieved an accuracy of 95%. 

Intelligent video analytics systems can now easily recognize multiple faces at the same time. AI algorithms in these systems can accurately recognize faces based on facial features like eye color and size and the gap between eyebrows. Effectively, accurate facial recognition can detect intrusions at sensitive establishments by identifying unauthorized personnel entering the premises.

A successful case study is that of airport specialist Amadeus using facial recognition technology for selected flights operated at Ljubljana airport. Within 2 seconds, 98% of air travelers were able to self-board their flights through face biometrics.

2. Object Recognition 

Besides people, AI-powered surveillance systems can identify specific objects and vehicles. For instance, AI-enabled computer vision systems can recognize objects from any captured image. Besides object recognition, computer vision systems can provide the exact object location and the exact count.

Additionally, using real-time video analytics, crime authorities can leverage camera data to investigate incidents in sensitive establishments. Common use cases include identifying harmful objects like firearms and protective equipment. 

AI-enabled computer vision can also identify moving vehicles using their number plates and vehicle features (for example, brand, type, and color). 

3. Virtual Fencing

Using AI technology, authorities can create “virtual” barriers around sensitive locations to detect any unauthorized intrusions. Virtual fence technology can digitally mark specific areas or boundaries. Trained AI models can detect any suspicious behavior and send timely alerts to designated authorities.

AI-powered virtual fencing is an effective method for perimeter security around sensitive establishments like airports, railway stations, and military bases. For example, virtual fencing can prevent incidents such as the recent vandalizing of the Boeing 777 by Greenpeace activists. Another example is the March 2021 incident of an intruder breaching the security fence in Dublin airport.

4. Suspicious Behavior

Besides identifying persons and objects, AI and Visual Analytics can understand human behavior captured through video surveillance. With classification models, AI models can self-learn human behavior patterns and recognize human actions.

This is effective for detecting suspicious behaviors like human aggression and even thefts or brawls. AI systems can raise real-time security alerts in response to the following use cases:

• For a human entity with a matching appearance or behavior as a suspicious person of interest
• When a large number of persons or objects are observed in the same location or premise
• To detect known offenders from stored images using facial recognition technology.

5. Physical Movement

AI and visual analytics can effectively detect physical movement within a sensitive establishment like an oil refinery or airport. Video analytics involves tracking a person across multiple picture frames.

Along with human detection, AI-enabled surveillance systems can leverage path modeling techniques to analyze people’s movements. For instance, AI technology in smart city applications can analyze vehicular and pedestrian movement, along with any acceleration or trajectories.

Organizations can also track the physical movement of employees or visitors on their office premises. Based on each person’s ID, organizations can track if every person moves within their authorized work area – or if any new person is moving into a restricted area. 

How KamerAI Solutions Can Secure Sensitive Establishments

At KamerAI, we leverage our expertise in digital technologies like Artificial Intelligence (AI) and Computer Vision (CV) to build platforms that help secure high-sensitive establishments.

Here are some of the CV and AI-powered applications built on our platform that provide business value:

Timekeeping

Using advanced facial recognition, organizations can automate their employee timekeeping – without employee access cards or biometric scanning. Additionally, it can prevent unauthorized trespassing and maintain perimeter safety within office premises.

Optical Character Recognition (OCR)

Using OCR technology, AI-enabled systems can automatically detect objects from visual data. Smart security solutions can detect moving vehicles and obtain their number plates using OCR technology.

Unattended Object Identification

Effectively, smart solutions can send real-time alerts if any person leaves behind an unattended object on its premises.

Perimeter Security

Using real-time visual data from connected cameras, an intelligent system can send timely notifications whenever there is any security breach in sensitive establishments. Perimeter security is also effective at preventing thefts (or identifying offenders) and trespassing.

Conclusion

Be it for city surveillance or detecting suspicious behavior, AI and Visual Analytics technologies are being used for a wide range of security solutions.

KamerAI provides a platform for security solutions designed to protect sensitive establishments like airports and military bases. Along those lines, here is how KamerAI solutions cater to the unique needs of various industries, including retail, manufacturing, supply chain, oil fields, and construction.

Want to partner with us in securing your establishment? Get in touch today!