Computer vision, a branch of AI, enables computers to recognize and interpret objects and people in images and videos, automating tasks that mimic human perception and which is currently transforming most aspects of airport operations, from terminal efficiency to aircraft turnaround!
One of the airport operations critical areas of focus for Unleash live is baggage management, an area where automation can reduce anxiety for travelers and optimize airport processes. With 7.6 bags per 1,000 bags being lost or mishandled according to SITA, minimizing even small delays through technology is key to enhancing the passenger experience.
AI-driven computer vision allows airports to track baggage volumes in real time. By analyzing video feeds from key locations like baggage claims and check-in counters, AI algorithms can accurately calculate the number of bags being processed. This data ensures that resources, such as staff and equipment, are allocated effectively to prevent congestion and delays.
Another significant advantage of computer vision is its ability to match carry-on baggage to flight capacity. Video analytics at boarding gates can estimate how many passengers are carrying hand luggage. This data is compared to the flight manifest, identifying any discrepancies. If necessary, airport staff can take proactive steps, such as requesting passengers to check excess luggage.
AI also enhances the passenger experience by providing real-time baggage updates. AI algorithms track the movement of their bags and can notify passengers through SMS, email or app notifications when their luggage arrives at the baggage carousel. This helps travelers manage their time and reduces anxiety, especially in cases where delays might occur.
Computer vision can automate the sorting of bags, improving both speed and accuracy. AI systems can read barcode tags and automatically direct bags to their proper destinations. Additionally, real-time tracking enables precise updates on the location of baggage, reducing stress for passengers by offering them full visibility of their luggage's journey.
Unloading of baggage can be monitored, classifying baggage of different sizes and compared to data from the flight manifest
Security is another critical area where video analytics, a powerful branch of computer vision, plays a key role by interpreting real-time footage through advanced data analysis. By combining computer vision techniques with statistical tools, AI can automatically detect unusual activities such as, unattended luggage or unauthorized entry into restricted zones. This capability significantly enhances airport safety, allowing for rapid response to potential threats and reducing the risk of security breaches, ultimately creating a safer and more secure environment for passengers and staff alike.
Beyond improving the passenger experience, computer vision offers substantial cost savings. Automating routine tasks, like sorting and tracking, reduces labor costs and operational overheads. Additionally, it has the ability to optimize resource allocation that leads to improved overall productivity for airport operators.
The future of computer vision in baggage management looks promising, with potential advancements including:
AI driven computer vision is transforming baggage handling in airports, providing real-time tracking, automated sorting and proactive communication. These technologies have the potential to significantly reduce lost or delayed luggage, enhance passenger satisfaction and improve airport efficiency. As AI continues to evolve, its role in air travel will only continue to expand, leading to more innovative applications, that redefine the future of baggage management.