Digital Twin
WAISL pioneers Total Airport Management solution on AWS, establishing itself as a leader in digital innovation within the global aviation industry; aims to expand the solution within India and internationally in 2025 and beyond.
Amazon Web Services (AWS) India Private Limited has announced that WAISL Limited has developed a digital twin-powered integrated Airport Operations Command Center (APOC), on the world’s leading cloud. WAISL built the solution on AWS to significantly improve operational efficiency for airports and enhance passenger experiences using digital twins (virtual representations of an airport’s physical objects, systems, or processes), artificial intelligence (AI), machine learning (ML), video and data analytics, and computer vision. WAISL plans to go live with this solution in a leading large Indian airport within the next few weeks and launch internationally in 2025 and beyond.
Airport congestion continues to affect on-time performance in India, with nearly 80 million travelers flying in the first half of 2024. The new solution, acting as a central nervous system, will serve as a hub for real-time monitoring, coordination, and management of airport operations—from curb to gate. It will cover essential activities like check-in, security, and traffic control for passengers, vehicles, and aircraft. Passengers will receive real-time updates on flight details, wait times, gate changes, baggage status, and personalized suggestions for nearby restaurants and duty-free offers. At the same time, the system will provide operational insights to airports, airlines, and ground-handling teams by sourcing, monitoring, and analyzing data from all platforms across the airport ecosystem.
“At WAISL, we aim to set a new benchmark for airports worldwide. We don’t just innovate; we transform what’s possible. In the digital age, transformative impact stems not from technology alone but from its bold, strategic application to complex operational challenges. This is where WAISL’s digital twin-powered integrated Airport Operations Command Center excels. It’s a true technological enabler to drive operational efficiency and digital transformation in aviation. Through industry leaders like AWS, we aim to make airports smarter, safer, and more seamless for enhanced passenger experiences," said Rishi Mehta, President and CEO of WAISL Limited.
The WAISL digital twin-powered integrated APOC integrates data from over 40 different systems, addresses 250+ use cases, and tracks 100+ performance indicators, offering predictive and prescriptive intelligence, enabling capabilities such as footfall predictions and prescribed resource planning using advanced AI and ML algorithms embedded within the solution.
“The air travel industry is making a strong comeback, and companies like WAISL are harnessing cloud, analytics, and AI technologies to enable airport operators address surging passenger demand more effectively,” said Pankaj Gupta, Leader – Public Sector, AWS India and South Asia. “Airport data is vast, and WAISL has developed a solution that makes it easy to analyse such data, and harness it effectively, relying on AWS for resiliency, scalability, security, and low latency. We look forward to supporting WAISL to accelerate innovation in air travel across India and beyond.”
Amazon Web Services (AWS) India Private Limited has announced that WAISL Limited has developed a digital twin-powered integrated Airport Operations Command Center (APOC), on the world’s leading cloud. WAISL built the solution on AWS to significantly improve operational efficiency for airports and enhance passenger experiences using digital twins (virtual representations of an airport’s physical objects, systems, or processes), artificial intelligence (AI), machine learning (ML), video and data analytics, and computer vision. WAISL plans to go live with this solution in a leading large Indian airport within the next few weeks and launch internationally in 2025 and beyond.
Airport congestion continues to affect on-time performance in India, with nearly 80 million travelers flying in the first half of 2024. The new solution, acting as a central nervous system, will serve as a hub for real-time monitoring, coordination, and management of airport operations—from curb to gate. It will cover essential activities like check-in, security, and traffic control for passengers, vehicles, and aircraft. Passengers will receive real-time updates on flight details, wait times, gate changes, baggage status, and personalized suggestions for nearby restaurants and duty-free offers. At the same time, the system will provide operational insights to airports, airlines, and ground-handling teams by sourcing, monitoring, and analyzing data from all platforms across the airport ecosystem.
“At WAISL, we aim to set a new benchmark for airports worldwide. We don’t just innovate; we transform what’s possible. In the digital age, transformative impact stems not from technology alone but from its bold, strategic application to complex operational challenges. This is where WAISL’s digital twin-powered integrated Airport Operations Command Center excels. It’s a true technological enabler to drive operational efficiency and digital transformation in aviation. Through industry leaders like AWS, we aim to make airports smarter, safer, and more seamless for enhanced passenger experiences," said Rishi Mehta, President and CEO of WAISL Limited.
The WAISL digital twin-powered integrated APOC integrates data from over 40 different systems, addresses 250+ use cases, and tracks 100+ performance indicators, offering predictive and prescriptive intelligence, enabling capabilities such as footfall predictions and prescribed resource planning using advanced AI and ML algorithms embedded within the solution.
“The air travel industry is making a strong comeback, and companies like WAISL are harnessing cloud, analytics, and AI technologies to enable airport operators address surging passenger demand more effectively,” said Pankaj Gupta, Leader – Public Sector, AWS India and South Asia. “Airport data is vast, and WAISL has developed a solution that makes it easy to analyse such data, and harness it effectively, relying on AWS for resiliency, scalability, security, and low latency. We look forward to supporting WAISL to accelerate innovation in air travel across India and beyond.”
To develop the APOC solution, WAISL used a range of AWS services providing AI, ML, and the Internet of Things (IoT) capabilities, enabling it to monitor and manage end-to-end airport operations. For example, the APOC can predict demand and potential disruptions by using Amazon SageMaker, a fully managed service to build, train, and deploy AL/ML models. Trained on historical and real-time data across an airport’s operations, the WAISL digital twin-powered APOC can optimize staffing and equipment deployment from check-in counters to security lanes and boarding gates.
This digital twin-powered APOC solution can monitor passenger flow, security checkpoints, and terminal areas using feed from closed circuit television (CCTV) cameras. Amazon MSK facilitates the flow of CCTV video footage to the solution in real-time while providing improved data redundancy during disruptions by replicating data securely across multiple AWS Availability Zones (AZ) within the AWS Asia Pacific Regions in India. It also uses Amazon EKS to distribute workloads across available resources during peak travel periods. For example, during severe weather events that cause multiple flight changes, Amazon EKS can allocate more processing power to rebooking systems and customer service applications.
This digital twin-powered APOC solution can monitor passenger flow, security checkpoints, and terminal areas using feed from closed circuit television (CCTV) cameras. Amazon MSK facilitates the flow of CCTV video footage to the solution in real-time while providing improved data redundancy during disruptions by replicating data securely across multiple AWS Availability Zones (AZ) within the AWS Asia Pacific Regions in India. It also uses Amazon EKS to distribute workloads across available resources during peak travel periods. For example, during severe weather events that cause multiple flight changes, Amazon EKS can allocate more processing power to rebooking systems and customer service applications.
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