How the use of artificial intelligence helps to optimize security and Airport Security | Squill (2023)

Security has always been a key issue for airports. They regularly face numerous threats, from minor incidents to major security attacks that threaten their lives. This requires the implementation of complex security systems to minimize any risks. In recent years, security requirements have become much more stringent, forcing airports to be more vigilant and take advanced security measures. In addition, passengers, visitors and airport staff now expect the highest levels of comfort and ease of use, which is another challenge for airlines. In addition to protecting the aviation facilities, they try to increase their efficiency and make the entire operational process smooth and seamless. This will only be possible if next-generation technologies are used to help airports improve their physical security infrastructure as well as provide useful intelligence.

In recent years, artificial intelligence-based systems have been increasingly deployed around the world to help airport authorities solve security issues. According toRelated market researchthe global aerospace AI market was valued at $373.6 million in 2020 and is projected to reach $5.826 million by 2028, representing a CAGR of 43.4%. This is attributed to the many benefits that AI-based solutions bring to airports. In this article, we will explore how airlines can use AI technology to optimize their safety and improve operational efficiency.

Optimize your situational awareness

A key responsibility of airport security is to ensure the safety of passengers and staff in the airport environment. Therefore, it is reliableVideo surveillanceThe system is critical. Monitoring airports is a huge challenge as they are complex environments with thousands of passengers and baggage passing through terminals every day. The monitoring area is also huge, with multiple terminals, parking, extensive grounds, and multiple entry and exit points. So in order to monitor the entire facility, operators have to monitor hundreds of cameras 24 hours a day. Human capabilities do not allow it to be done without interference and errors. Operators lose focus, become overburdened and show poor operational effectiveness, resulting in critical events being missed and unable to deal with every situation on time.

AI technology helps address these issues and optimize video surveillance by providing real-time insights and alerting you to threats as soon as they occur. Helps operators quickly focus on situations that require immediate attention and shorter reaction times. Ultimately, thanks to seamless integration with existing cameras, AI-based solutions such asAeschylusHelp transform passive cameras into proactive security systems that can identify security threats in real time.

perimeter protection

Due to their size, multiple entry points, and high crowding of people, airports are vulnerable to attacks. Crowds in the airport terminal as well as in critical facilities such as control towers are at risk of being targeted by terrorists.

Unauthorized access prevention and real-time accessintrusion detectionare undoubtedly the most pressing security challenges facing airport operators. When it comes to detecting people with weapons or signs of terrorist activity in a crowd, human capabilities are quite limited. Therefore, important events may be missed. Artificial intelligence technologies can help meet these challenges and help people recognize threats early. AI algorithms monitor the entire airport area with multiple cameras 24/7, identifying and tracking suspicious objects or people. Immediate notification of access violations and strange behavior is sent to staff. Therefore, they are always aware of hacks and other threats on the site and react immediately to the situation.

It also helps manage airport parking by combining license plate information with time-stamped ticket data and sending video alerts of any potential issues.

Control unauthorized entry

Access control is an integral part of airport security. It is important to manage access to sensitive areas such as runways, air traffic control towers and hangars. At the same time, it must be ensured that company employees, service providers and numerous commercial suppliers have access to certain areas of the airport at certain times and that passenger flows run smoothly and efficiently. This is the purpose of intelligent access control systems designed to distinguish between authorized and unauthorized visitors. Unlike magnetic cards that can be lost, stolen or borrowed, in particular biometric access controlface recognitionIt seems much safer. If unauthorized entry is detected, the system notifies operators in real time.

How the use of artificial intelligence helps to optimize securityand Airport Security | Squill (1)

Automatic FOD detection

Foreign body debris (FOD) on airport runways is a well-known problem in the aviation industry. Chunks of tires, bits of asphalt, bolts, and generally anything that appears on the runway can be extremely dangerous to an aircraft during takeoff and landing. Foreign object debris at the airport causes technical problems, workplace injuries, flight delays and financial losses to the company. The damage caused by FOD is difficult to quantify but can cost the aviation industry approx$4 billion and $13 billionannually for damaged equipment, flight delays, reduced productivity, litigation and other costs. Runways are only manually inspected a few times a day, increasing the risk of FOD damage to aircraft. Smart video solutions such as Scylla can help solve this problem by providing continuous automatic monitoring of runways in all weather conditions and detecting multiple FODs at the airport. This can significantly increase the safety and efficiency of surface management operations, prevent runway closures and reduce downtime.

Improve operational efficiency

Certain areas in airports are prone to overcrowding or even overcrowding. This is unfavorable for the airport, because every minute spent in a queue negatively affects the comfort of travel and causes financial losses for airlines. Flights are delayed and airlines have to cover rebooking costs. Airports are also wasting money that passengers could spend in shopping and leisure centers if they didn't have to stand in long lines. It is estimated thatabout 40%of global airport revenue comes from non-aeronautical revenue streams (estimated at 60% in the future), showing that the retail sector has become an important factor in ensuring the financial stability of airports.

Using artificial intelligence technology, airports can reduce waiting times in queues and thus increase passenger comfort. AI solutions can monitor and analyze pedestrian traffic at airport facilities, identify congestion patterns and bottlenecks, estimate waiting times, and use this information to optimize queue and crowd management. Airports can also use data on passenger traffic, behavior and habits to offer a personalized approach, for example for VIP passengers.

AI can dramatically improve the efficiency of airport security screening teams by automating the process and making it faster and easier for passengers to check in, drop off their baggage and even board the plane. Thanks to facial recognition technology, passengers do not have to show their passports when boarding. Passengers are going through the security check because their face has already been recognized and verified by the facial recognition system. This shortens the time needed to ensure security, reduces queues and helps to significantly increase the efficiency of airports.

Slip and fall detection

Airports must not overlook adequate and necessary physical security measures to ensure the safety of passengers and staff at all times. According to statistics, more people are injured in airports than on planes. This is not surprising considering the number of people rushing through the airport every day.

Slip and fall accidentsare among the most common causes of injury at airports. They can happen almost anywhere - for example, a broken floor, spilled liquids or simply when agitated passengers trip and fall rushing to the plane. Accidents on the ramp also happen quite often. According tothe basis of flight safetyapproximately 27,000 accidents occur on airport ramps each year.

AI video analytics built into airport cameras can instantly detect a person's fall and notify safety teams of the accident. By receiving timely information, they can take appropriate action quickly, reducing the possibility of serious consequences.

Detection of unattended and lost luggage

AI technology enables accurate, real-time detection of unattended baggage, which has become a key need for airport security personnel. Luggage left unattended can be a potential hazard at the airport as it may contain explosives or other hazards. These incidents require investigation, which takes time and causes flight delays. Airlines and airports lose millions of dollars.

Artificial intelligence-based solutionsIt can be deployed to automatically detect objects such as suitcases and bags left in certain areas and not moving for a period of time and alert security personnel. It is even possible to track the person who left the luggage.

Luggage theft is another common problem at airports. If baggage is found to be stolen, AI-based systems can conduct forensic searches of baggage and persons. The operator can monitor passenger activity before and after the reported event, quickly identify the location of a stolen item and track down a suspect.

thermal shielding

Millions of people traveling by air around the world pose serious public health problems. As the pandemic continues to threaten the health of passengers, airports need robust technologies to tackle the spread of infection.

AI-powered cameras can help detect if passengers have an elevated skin temperature, verify social distancing, and ensure people wear masks when needed. In the event of non-compliance, the security services are notified. The biggest advantage is thisnon-invasive thermal examinationit works automatically, with no bottlenecks and huge savings in labor costs compared to manual detection. This makes the thermal scanning process quick and hassle-free.

The final conclusion

Today, artificial intelligence technology enables airports to improve security. Cameras equipped with AI video analytics become proactive security systems, enabling the recognition of security threats in real time. They are used to optimize situational awareness and automate responses for high-impact scenarios. The intelligent use of data collected through AI video analytics enables airport operators to make informed decisions about optimizing airport performance to increase operational efficiency and improve the customer experience.


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