The airport sector, constantly evolving, faces increasingly complex challenges. Diversification, modernization, and securing infrastructures have become imperatives to meet the growing demands of passengers and airlines. However, stakeholders in this field often find themselves lacking adequate tools to anticipate emerging risks and optimize their operations. This gap results in operating losses and keeps the infrastructures in a passive state, sometimes obsolete.
Artificial intelligence, and more specifically computer vision, offers a promising solution to address these challenges. By integrating this revolutionary technology into airport infrastructures, it is possible to increase the profits of stakeholders while improving customer satisfaction.
Computer vision allows for the real-time collection and analysis of a multitude of visual data. This data is then transformed into essential and actionable information through an intuitive and operational dashboard.
Specifically, computer vision addresses various crucial use cases for airport operations:
In the taxiways:
Detection of unauthorized intrusions
Computer vision enables constant monitoring of taxiways and real-time detection of intrusions by unauthorized persons or vehicles. This technology allows for immediate alerts to authorities and necessary measures to ensure the safety of flight operations.
Identification of improperly parked vehicles
Computer vision can also identify vehicles parked improperly on the taxiways. This allows for alerts to be sent to drivers and necessary measures to be taken to clear the traffic lanes and ensure smooth air traffic.
Classification of different types of vehicles
This technology automatically classifies the different types of vehicles moving on taxiways, such as airplanes, fire trucks, ambulances, etc. This information helps optimize traffic management and ensure the safety of passengers and staff.
Counting vehicles
The automatic counting of vehicles circulating on the taxiways allows for the collection of valuable statistical data to optimize traffic management and infrastructure planning.
Prevention of incursions
Computer vision can be used to prevent incursions on runways during takeoff and landing. By detecting intrusions and alerting pilots and air traffic controllers, this technology helps ensure flight safety and avoid potentially serious accidents or operating losses related to delays.
Optimization of congestion management
Computer vision can help optimize congestion management on taxiways. By analyzing real-time traffic, this technology enables the implementation of regulatory measures and facilitates vehicle movement.
In the parking areas:
Monitoring of markers and queues
Computer vision allows for monitoring of markers and queues in airport parking lots. This technology collects valuable statistical data on passenger traffic and wait times.
Analysis of attendance
Analyzing attendance in parking facilities helps optimize parking space management and implement dynamic pricing solutions.
Detection of intrusions
Computer vision can be used to detect intrusions in parking lots and ensure the security of vehicles and passengers' belongings.
Monitoring of loading and unloading operations
Monitoring loading and unloading operations of luggage helps optimize passenger flow management and reduce wait times.
Automation of luggage sorting
Computer vision can be used to automate the sorting of luggage and enhance the efficiency of handling operations.
3. In the halls / PIF / Boarding:
Assistance in inspection and screening
Computer vision can assist security agents in inspecting and screening passengers and their luggage. This technology detects suspicious objects and alerts agents in case of potential danger.
Monitoring of anti-return gates
Computer vision can be used to monitor anti-return gates and prevent passengers from returning to the boarding area after passing through security.
Crowd management
Computer vision can help manage crowds in boarding halls. By analyzing passenger flow in real time, this technology allows:
To identify congestion areas
To detect potentially dangerous crowd movements
To implement measures to facilitate passenger flow
Detection of abandoned luggage
Computer vision can be used to detect abandoned luggage in boarding halls. This technology alerts security agents and facilitates necessary measures to ensure passenger safety and avoid mass evacuations.
In the parking lots
Computer vision revolutionizes parking management by offering a multitude of solutions for a smooth and secure user experience.
Management of queue exits
The computer vision enables smooth traffic by detecting waiting vehicles and optimizing barrier openings. Drivers no longer waste time waiting their turn to exit the parking lot.
Counting vehicles
With precise statistics referenced on the dashboard, the number of incoming and outgoing vehicles is counted in real time, allowing better management of available spaces. The collected data can also be used to adjust pricing based on attendance.
Classification of vehicle types
Parking spots can be better allocated and thus reserved for different types of vehicles (cars, motorcycles, bicycles, etc.). Meanwhile, security will be enhanced with the detection of unauthorized vehicles, ensuring user safety.
Prevention of intrusions
Computer vision allows for the detection of intrusions 24/7 to ensure the safety of property and individuals.
Detection of prolonged presence
Vehicles that are parked for too long can be identified and reported, encouraging the rotation of spaces to meet parking demand.
Identification of improperly parked vehicles
Improperly parked vehicles can be identified in real time, facilitating traffic flow for time savings and reducing accidents!
Artificial intelligence in the service of a smart and efficient airport
The integration of computer vision into airport operations represents a major advancement. This technology enables addressing the growing challenges of the sector and providing an optimal experience for passengers and airlines. By investing in these technologies, stakeholders in this field can position themselves as leaders and build the future of a smart and efficient airport.