Airport Security Applications using Metrici AI

AI and software solutions have vast applications in border control and security across various scenarios, particularly when integrating technologies like Line Counter, Area Counter, OCR, LPR, people and vehicle detection, classification by make, and thermal analysis for both people and objects. These technologies work together to enhance security, improve efficiency, and automate critical processes, leading to smarter and safer borders. Here’s how they can be applied in different security contexts:

Passenger Identification and Control

OCR for Document Scanning:

Use OCR to automatically scan and extract data from passports, boarding passes, visas, and other travel documents at security checkpoints.

The OCR system can quickly validate documents against travel databases, ensuring faster, more accurate identity verification.

Reduce the need for manual input by airport personnel, speeding up the check-in and boarding processes.

People Counting and Crowd Monitoring:

Metrici AI-based people counting system to monitor passenger flow in real-time. This helps manage queues, prevent overcrowding, and optimize staffing based on demand.

Ensure that security checkpoints are operating efficiently by balancing the number of passengers processed through each checkpoint.

Passenger Flow and Queue Management

Line Counter

Use line counter to track the number of passengers crossing specific points in real-time, such as security checkpoints, boarding gates, or baggage claim.

Track the flow of people through emergency exits or restricted areas. In the case of an emergency, line counters can help monitor how many people are evacuating and ensure that exits are being used effectively.

Detect abnormal movement, such as people entering areas in reverse direction or gathering in areas meant for transit only, to prevent incidents or ensure quick action during emergencies.

Area Counter

Track the number of people in defined areas such as waiting lounges, boarding areas, and check-in zones. This ensures compliance with safety regulations (e.g., capacity limits).

Optimize the distribution of passengers in crowded areas, directing people to less crowded areas or opening new security gates to alleviate congestion.

Use AI to analyze crowd behavior, identifying unusual patterns such as loitering, which might indicate a security threat or other incidents requiring intervention.

onitor queues at various airport stages, ensuring that resources (like security personnel or check-in counters) are allocated dynamically based on passenger flow.

Trigger alerts when queues become too long, helping airport staff react quickly to open more lanes or streamline operations.

Luggage Scanning and Security Screening

AI and Object Recognition for Luggage Screening:

Integrate Metrici AI with X-ray machines or CT scanners to automatically recognize prohibited items in luggage (e.g., weapons, explosives, or hazardous materials).

The AI system can enhance security by quickly identifying potential threats, reducing the risk of human error, or complementing human screening and speeding up the luggage check process.

Use custom-trained DNN models to differentiate between benign items (like electronic devices) and dangerous objects, improving accuracy in threat detection.

Automated Threat Detection:

AI systems can be trained to detect patterns in luggage scans that might indicate tampering or hidden contraband. This can trigger alerts for further inspection, ensuring passenger safety.

Real-Time Alerts and Escalation:

When a suspicious item is detected by the AI system during luggage scanning, the system can automatically trigger alerts for security personnel, ensuring immediate response without manual review delays.

Systems can flag specific luggage for additional screening if certain risk factors are identified.

Baggage Handling and Tracking

OCR for Baggage Tags:

Use OCR / QR code and barcode scan to automatically read and decode baggage tags, ensuring luggage is correctly sorted and routed to the correct flight and destination.

This reduces the likelihood of lost luggage and streamlines the baggage handling process by eliminating the need for manual checks of luggage tags.

AI-Powered Baggage Tracking:

Implement AI-driven tracking systems to monitor baggage movement throughout the airport, from check-in to the aircraft, and from the aircraft to baggage claim.

Enhance efficiency by automatically detecting misplaced luggage or identifying delayed baggage in real time.

Parking Management Using LPR and Vehicle Recognition

LPR for Vehicle Identification:

Implement Metrici LPR system at airport parking lots to automatically recognize and register vehicles as they enter and exit, allowing for seamless access control and parking payments. Integrate Metrici ATM machine. Keep track of available places.

Use action lists to manage staff, passenger, and VIP parking areas, ensuring that only authorized vehicles access these restricted zones.

Parking Spot Management with Vehicle Recognition and PPD:

Integrate vehicle recognition and Parking Place Detector parking management system to detect which parking spots are occupied and which are free. This helps direct vehicles to available spots in real time, reducing the time spent searching for parking. Integrate Metrici LED Display.

Offer parking pre-booking services for passengers, using vehicle recognition to confirm reservations upon entry using LPR.

Long-Term and Short-Term Parking Automation:

For long-term parking, the system can automatically calculate the duration of stay and trigger payments via integrated apps, e-payment systems or ATM machine.

Short-term parking can be automated also, making it easy to implement dynamic pricing based on real-time availability, period of the day/week etc.

Security Surveillance and Incident Detection

AI for Video Analytics and Surveillance:

Use Metrici AI-powered video analytics to monitor airport security cameras, identifying suspicious behavior or security breaches in real time.

Metrici AI can analyze movements, detect loitering in restricted areas, or identify unattended baggage, automatically alerting security personnel to potential risks.

People Detection and Intrusion Alerts:

Object and people detection can be used in restricted areas (e.g., airfields, baggage handling zones) to detect unauthorized individuals or people without specific uniforms and alert security teams.

Crowd Behavior Analysis:

Monitor crowd behavior in real time using AI and video analytics to detect unusual patterns, such as panicked movements or mass gatherings, which could indicate potential security threats or emergencies.

Access Control for Restricted Areas

Intrusion Detection in Restricted Areas:

Use object and people detection in sensitive airport zones (e.g., runways, baggage handling zones, and restricted employee-only areas) to ensure that unauthorized individuals or vehicles are detected immediately.

Integrate line counters at restricted access points to track the number of people or vehicles entering restricted zones. If unauthorized entries are detected, security teams are alerted in real time.

Vehicle Access Control with LPR:

Use LPR systems at airport service gates to control access to airside areas, ensuring only authorized vehicles can enter restricted zones.

Operational Efficiency and Process Optimization

AI for Queue Management:

Use real-time video analytics to manage passenger queues, optimizing the number of open checkpoints or adjusting staffing based on real-time passenger flow data.

AI can predict peak times, helping security and customs teams prepare in advance by opening more lanes or deploying additional staff.

Custom AI Models for Predictive Maintenance:

Train AI models to monitor airport equipment, such as baggage conveyor belts, X-ray machines, and elevators, predicting when maintenance is needed before breakdowns occur, ensuring uninterrupted operations.

Custom AI and DNN Training for Airport-Specific Solutions

Custom Object Recognition Models:

Develop custom AI models trained on airport-specific objects (e.g., staff badges, security equipment) to automate processes like verifying employee credentials or identifying misplaced equipment.

Border Control and Immigration

OCR for Document Verification:

Use OCR (Optical Character Recognition) to automate the scanning and validation of passports, visas, and identification documents at border checkpoints.

The system can quickly verify traveler information against immigration databases and flag individuals on watchlists or those using forged documents.

LPR for Vehicle Monitoring:

License Plate Recognition (LPR) can monitor vehicles crossing the border, matching license plates against international databases of stolen or suspicious vehicles.

Automatically control access to secure areas, ensuring only authorized vehicles pass through checkpoints.

People Detection and Counting:

Use AI-based people detection and counting systems at border entry points to monitor the number of people crossing, ensuring orderly processing of travelers. AI can detect and identify unauthorized entries or loitering around border zones, flagging suspicious behavior for border agents.

Conclusion

By combining AI, DNN, OCR, LPR, and video analytics technologies, airports can improve security, streamline operations, and enhance the passenger experience. These solutions help automate critical processes like document scanning, luggage screening, access control, and surveillance, making airport operations safer, faster, and more efficient.

Intensiva United is a Bucharest-based company, founded in 2010. Metrici is our brand name for advanced video analytics solutions, an answer to people and companies needs. Our passion for technology and expertise in computer vision are used by the best partners for making a better place to live in, a safer and smarter city. Metrici has one the widest range of applications based on video analytics and AI technologies so it positioned itself as one of the best companies in the world. Be assured that every edition of our software proposals is always the strongest developed till present as Metrici keeps innovating in accurate recognition.

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