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Edge AI Optimizes Airport Baggage Management

Edge AI Optimizes Airport Baggage Management
 
With the rapid increase in global air travel, airports face significant challenges in efficiently handling millions of passengers and their baggage. Traditional baggage handling systems often struggle with manual sorting and routing errors, aging legacy infrastructure, labor shortages, and limited scalability during peak demand. To overcome these issues, airports are turning to AI-powered solutions that offer real-time data processing and automation to streamline baggage management.
In 2022, the global mishandling rate rose to 7.6 bags per thousand passengers, with 42% of incidents linked to transfer-related delays, highlighting the lack of end-to-end visibility and reliability in traditional barcode-based systems. These infrastructures are prone to malfunction, difficult to scale, and heavily dependent on manual labor—an increasing concern amid persistent workforce shortages in physically demanding roles. By integrating RFID, IoT, and Edge AI, airports can automate scanning and routing through cobots and AMRs, enabling real-time monitoring, dynamic load management, and greater operational flexibility. These intelligent technologies significantly reduce human error, improve accuracy, and help airports maintain efficiency and performance even during sudden surges in passenger and baggage volumes.

Cobot for Baggage Scanning and Sorting

Unlike traditional baggage sorting methods that are prone to manual errors, the baggage scanning and sorting cobot significantly improves accuracy and efficiency while reducing labor dependency. By scanning the RFID tag on each bag, the cobot automatically lifts and routes baggage to the correct destination, streamlining the process.

AIE510-ONX: High-Performance Edge-AI Platform Designed for Cobots
NVIDIA Jetson Orin NX
NVIDIA® Jetson Orin™ NX

Powered by the NVIDIA® Jetson Orin™ NX, the AIE510-ONX delivers up to 100 TOPS of computing power, enabling it to analyze large volumes of image data. It also supports the NVIDIA Isaac™ Robot Operating System (ROS) SDK to accelerate AI-enabled robot development.

Rich I/O for Various Applications
Rich I/O Interface for Sensors

To support seamless integration with multiple sensors on cobots, the AIE510-ONX features comprehensive I/O connectivity, including COM ports for precise motion control. For applications requiring low-latency and long-distance camera connectivity, a GMSL option is available to ensure reliable real-time perception.

Flexible Wireless Expansion
Flexible Wireless Expansion

The AIE510-ONX supports multiple wireless expansion options, including M.2 Key E for Wi-Fi 6E, PCI Express Mini Card for Wi-Fi or LTE, M.2 Key B for 5G/LTE, and a Nano SIM slot, ensuring stable, high-speed communication with cloud-based airport management systems.

AIE510-ONX

AMR for Baggage Process

Instead of requiring staff to drive vehicles to move baggage across the airport, AMRs equipped with integrated RFID scanners can autonomously identify, verify, and route each piece of luggage to its correct destination. This automation enhances routing accuracy, reduces labor dependency, and provides end-to-end visibility across the baggage handling process.

ROBOX500: Rugged AMR Controller for Intelligent Baggage Logistics
High-Performance Yet Power-Efficient
12th/13th Gen Intel® Core™ & AI Module

Powered by 12th/13th Gen Intel® Core™ i7 processors, the ROBOX500 supports scalable AI acceleration via an M.2 Key M slot. It is optimized for real-time data processing, environment sensing, and autonomous navigation.

4-Channel GMSL and Rich I/O
4-Channel GMSL & Rich I/O

GMSL enables high-speed, low-latency, and long-distance data transmission, allowing robots to perceive real-time environmental changes. The system’s comprehensive I/O ensures seamless and reliable connections to external devices such as 3D LiDAR sensors, IMUs, RFID readers, and emergency brakes.

Rugged Design with Wide Power Input
Rugged Design with Wide Power Input

Designed for demanding environments, the ROBOX500 features M12 lockable connectors, 5 Grms vibration resistance, a wide operating temperature range of -40°C to +70°C, and a 9–60 VDC power input, making it ideal for in-vehicle and airport deployments.

ROBOX500
AMR Builder Package
 

AI-Driven Baggage Conveyor Monitoring

Ongoing labor shortages make it increasingly challenging to monitor baggage conveyor systems effectively. In some airports, a single handler may oversee up to four conveyor lines, leading to slower response times and reduced operational efficiency. AI-powered monitoring systems can automatically detect issues such as baggage jams, fallen luggage, or system anomalies in real time, instantly alerting staff for quick intervention. These systems can also track passenger behavior, such as crossing the waiting line, and trigger alerts as needed.

AIE100-ONX: Compact Edge-AI Platform for Conveyor Monitoring
Outstanding AI Performance
Strong AI Computing Capability

The AIE100-ONX is powered by the NVIDIA® Jetson Orin™ NX platform, featuring an 8-core or 6-core Arm® Cortex®-A78AE processor delivering up to 100 TOPS of AI performance and an advanced 1,024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores.

Seamless Connectivity and Integration
Rich I/O with Front-Facing Design

To enhance connectivity versatility, the AIE100-ONX features rich I/O interfaces for cameras and sensors, making it an ideal choice for airport baggage conveyor monitoring. Its front-facing design facilitates installation and maintenance for customers.

Compact Size with Rugged Design
Compact & Reliable

The AIE100-ONX, measuring only 148.6 mm x 129.8 mm x 34.6 mm, is well suited for deployment in constrained spaces. Its fanless, rugged design, -25°C to +50°C operating temperature range, 3 Grms vibration endurance, and IP42-rated protection ensure reliable operation in demanding environments.

AIE100-ONX