The airport sector: innovating to meet new challenges

The airport sector is evolving rapidly and facing increasingly complex challenges. Diversifying, modernizing and securing infrastructures are now essential to meet the expectations of passengers and airlines alike. Yet airport operators often lack the appropriate tools to anticipate emerging risks and optimize their operations. This leads to operating losses, and sometimes keeps infrastructures passive or even obsolete.

Artificial intelligence, in particular computer vision, is emerging as a key solution to these challenges. By integrating this technology into infrastructures, it is possible to increase profits while improving customer satisfaction thanks to real-time analysis of visual data.

Concrete uses of computer vision in airports

On taxiways

• Detection of unauthorized intrusions: permanent surveillance and real-time alerts to guarantee safety.

• Identification and management of disruptive vehicles: detection and rapid intervention to smooth traffic flow.

• Vehicle classification: aircraft, fire trucks, ambulances... to optimize traffic management.

• Vehicle counting: invaluable data collection for infrastructure planning.

• Prevention of runway incursions: immediate alerts to pilots and controllers to avoid accidents and delays.

• Optimized congestion management: real-time traffic analysis to smooth traffic flow.

In parking areas

• Queue and milestone monitoring: collect data on occupancy and waiting times.

• Traffic analysis: space optimization and dynamic pricing.

• Intrusion detection: securing vehicles and goods.

• Monitoring of loading/unloading operations: improved passenger flow and reduced waiting times.

• Automated baggage sorting: increased handling efficiency.

In halls, BIPs and boarding areas

• Inspection and screening assistance: detection of suspicious objects for enhanced security.

• Anti-return lock monitoring: prevention of re-entry into secure areas after screening.

• Crowd management: detection of congested areas and potentially dangerous crowd movements, with appropriate measures.

• Abandoned baggage detection: rapid alerts to avoid major incidents.

Parking lot management

• Smoother exits: detection of queues and optimization of gate opening.

• Vehicle counting: precise statistics for better space management and tariff adaptation.

• Vehicle classification: efficient allocation of spaces and enhanced security through detection of unauthorized vehicles.

• 24/7 intrusion prevention: continuous surveillance to protect people and property.

• Prolonged presence detection: dynamic parking management to meet demand.

• Troubleshooting: real-time identification ofdisruptive parking lots to improve traffic flow and reduce the risk of accidents.

Towards an intelligent, high-performance airport

The integration of computer vision into airport operations represents a major step forward. This technology meets the sector's growing challenges and significantly enhances the experience of passengers and airlines alike. By investing in these solutions, players can position themselves as leaders and build the future of intelligent, safe and efficient airports.