Improved Airport Performance with AI Powered Video Analytics


Technology is changing the way companies communicate with their customers, making business decisions, and developing workflows by using AI-Assisted Video Analytics Solutions to analyze high-resolution videos more quickly and accurately.

When air travel becomes more accessible, there are a growing number of air travelers. The International Air Transport Association (IATA)’s recent findings indicate that total air passenger traffic will reach 8.2 trillion by 2037. In addition to passenger numbers, aspirations of passengers are also rising.

Airport travelers often face long unruly queues. Essentially, this will result in a reduction in customer satisfaction. An airport operator must increase the number of counters, personnel and other services to overcome these overcrowding and queues. The authorities are frowning on this solution as it is not a scalable solution and leads to higher operating costs.

What the Passengers Fed Up Of

What airport management needs, together with resource limitations, are practical perspectives to make the right decisions at the right time to handle the ever-growing passenger numbers. However, how can an airport, with its current total resources and infrastructure, accomplish this huge objective? The answer could be an AI-powered platform for real-time video analytics.

While there has been live monitoring of events and locations for a while, the AI-based smart video footage analysis is relatively new. An airport in each corner has fully covered by CCTV. They record video for hours and hours only to be monitored for reviewing and interpreting events by human workers. To some extent, it is effective, but almost none of these footages have been watched or put to practical use. This is where Video Analysis based on AI comes in.

Today, all airports are under stress due to the rising number of airport passengers around the world to optimize their operating productivity and improve the customer experience by eliminating the lengthy, boring queues and making the journey as seamless as possible from the entrance to the exit. It is critical that airports continue to meet demand in volume while addressing the rising needs of passengers.

Current advanced AI-based video analysis uses algorithms and technology to look at video feeds, which are commonly used to recognize CCTV cameras patterns and trends. The research takes place in real time and offers actionable intelligence, such as measuring crowds, people’s attitudes and behavior, general heat mapping, etc. To improve the safety and security of an airport, AI-based video analysis software can be used to analyze vast amounts of raw video data.

The software can greatly enhance operations and guest experience, avoid threats to safety and boost post-event investigations at an airport without any capacity limit. Video analytics can track objects and individuals through cameras, monitor and manage the movement of passengers and traffic, control areas without human intervention. It can reduce risk; improve the productivity of workers, increase customer satisfaction and more. Let us have a look at how;

Effectual Crowd Management & Streamlining Passenger Traffic

Airports, particularly if it is a transit hub, are some of the busiest places in the world. How an airport operator can transfer passengers smoothly from drop-off to check-in, their level of satisfaction is directly affected by previous screening, retail, and boarding areas. An airport operator will have a complete and in-depth understanding of airport traffic flow patterns with an AI-powered video analytics solution. We can monitor passenger movement to the check-in lobbies, security checkpoints, terminals, and even individual gates right from the parking lots. The airport manager can gain a better understanding of terminal use and size with these observations.

Redesigning the terminal layout to avoid overcrowding and ensure a smooth flow of passengers will be very beneficial. Because the device can continuously track multiple locations, airport operators can easily identify where there are bottlenecks. Additionally, by recruiting enough personnel, the contractor will be able to understand where overcrowding tends to occur and behave predictively. It can also provide insights into specific directions or areas of smart decision-making and strategic planning. Eventually, it will result in lower waiting times, higher performance and happier passengers.

Critical Revenue Stream for Airport Retail Operators

To airport operators, airport retail is a vital revenue stream. To generate a profit, they are increasingly dependent on this commercial revenue flow. Airport retail sales make a significant systemic contribution to airport funding and its infrastructure. Such sales profits can account for up to 80 percent of their profit margins for many large airports. Such retail store sales can be used to provide incentives for airline services, resulting in better connectivity and low-cost flight tickets.

Increasing revenue from airport retail is therefore crucial for airport operators. A video analytics solution can greatly improve the retail revenue of the airport in such a scenario.

The program can provide valuable insights into the retail shops in the terminal’s buying habits of passengers. The device which an AI based is capable to monitor the whole different parameters such as consumer demographics ,customer dwelling time, shopper routes, emotion detection and their level of satisfaction based on their on-site activities, all of which can be leveraged to provide a customized shopping experience and provide specific offers that can contribute to more sales. It can also provide crowd analysis and counting people to help terminal retailers make decisions about staffing.

Maximizing and Streamlining Airport Security

The rapid increase in air passengers has escalated the security threats that have occurred. Unfortunately, for travelers, security checkpoints are becoming a major bottleneck. Airport operators struggle to ensure safety and security without compromising the experience of passengers. Without creating bottlenecks, AI-based video analytics can significantly improve airport safety and security. The problem with the current security infrastructure of CCTV is that it is regulated by humans and as time goes by, humans naturally get more exhausted and start missing more and more on-screen events.

A video analytics suite can eliminate much of the human error that results from monitoring video feeds and analyzing data as well as identifying threats faster than a human. The system is able to analyze passengers ‘ emotions and their level of satisfaction on the basis of their on-site activities. The system can be used in various applications such as movement-rule violations, intrusion detection, suspicious accident detection, etc. to provide a higher level of security.

For example, the device continuously scans the facial data of passengers at immigration desks, comparing it in real time to a database of known suspects. It helps identify those who are blacklisted and discourage them from committing crimes or traveling.

Meanwhile, video analytics can track unattended screening lanes for intruders or detect unattended luggage in a vast terminal during passenger security screening. The airport operator can make appropriate staffing decisions and protocol improvements for overall security with a good understanding of how these areas are used.

Airport Operations & Perimeter Security with Video Analytics

Video analysis also plays an important role in safety and activities on the airside. Airports have a large complex. To cover all entry points, monitoring is needed at all times over a wide area. Standard perimeter defense includes enormous compound sensor walls and fences. Some airports even deploy monitoring teams in vehicles that are constantly patrolling the perimeter. Such processes, however, are far from ideal.

Often sensors that raise false alarms caused by animals or windy conditions, while resource security teams may miss a breach of security due to lack of staff available to investigate or extreme weather. Intelligent monitoring systems can be used to address these issues. Video analytics can detect and activate an alert to unusual activity along the fence. It can also differentiate between humans and animals, increasing to practically zero the number of false alarms.

Assisting the Air Traffic Control Centre

The airport traffic control tower is directly responsible for parking, take-offs and all aircraft movement within the control area of the airport terminal. It does not require aircraft to collide with each other. There should therefore be no space for mistakes. It is often very difficult for ATC to identify or track different aircraft at an airport. We need to rely on binoculars to track the movement of the aircraft, but visibility can sometimes be lower if it rains or if there is fog or snow. ATC can cover large areas with as few screens as possible with cameras and AI-based video processing so that air traffic control staff can work efficiently.

It can test’ Runway Holding Positions’ for different aircraft, rapid identification of dangerous conditions, visual inspection of all operations, etc. For example, on the taxiway, with optical confirmation, ATC can identify dangerous situations and quickly record entire incident operations.

ATC will ensure that everything is under command with such a program. In an active and dynamic scene, the system can identify specific behaviors of ground handling staff, aircraft, and vehicles. When something or someone is not in the right place, it can instantly alert security personnel.

Making Sure of Smooth Runway Operations

The runway is every airport’s most important part. Both hazards for aircraft service must be kept as free as possible. Nevertheless, optical surveillance systems are also facing a major challenge. Monitoring many meters of runways with traditional methods of monitoring is difficult. This is where the utility of video analytics. With minimal resources, it can track the entire Runway. To create an overall image for object recognition, it can combine images from different cameras. It can detect on the Runway animals, birds, foreign bodies and warn the authorities concerned.

Smart Parking Supervision

For many airports, parking is a perplexing challenge. Travelers, tourists and employees face problems with parking. Harried late travelers get irritated driving up and down the rows in search of spaces available. Exhausted travelers who cannot remember where they parked loads of wanderers in search of their cars. Video analytics can be used to provide these problems with solutions and improve customers overall parking experience. Intelligent video analytics, for instance, can detect empty parking spaces, the total number of parked vehicles / empty slots, and even the time that vehicle spends in the slot.

Those observations can be conveyed to parking management staff, which in effect makes it very easy for incoming vehicles to find the nearest parking spot.


The main objective here is to have satisfied travelers who will contribute to the commercial success of the airport and an AI-powered video analytics system will significantly improve the satisfaction level of passengers.

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