Taiwanese firm Arbor Technology worked with US companies DeepX and MemryX to develop an AI-powered baggage monitoring system for airports.

This brings real-time intelligence to airport operations through edge AI.

Modern airports handle high volumes of baggage across complex conveyor systems, where limited visibility and delayed response can lead to disruptions and inefficiencies. Conventional monitoring approaches depend on manual oversight or centralised analytics, and often fall short in speed and scalability.

At the core of this system is Arbor’s Ares-1983H-AI, an industrial-grade edge AI platform purpose-built for round-the-clock operation in harsh and space-constrained environments such as airport baggage handling areas. The platform is designed to ensure reliable, maintenance-free performance under conditions involving vibration, dust and temperature variation.

DeepX (Deepxhub.com) contributed its AI-based computer vision technology, enabling accurate detection of baggage flow conditions, including jams, pile-ups and congestion across conveyor systems. This allows operators to gain immediate visibility into operational disruptions and respond proactively.

MemryX (MemryX.com) enhanced the system with its MX3 M.2 AI accelerator module, delivering energy-efficient inference at the edge. Supported by public SDK with and open-source model, MemryX simplifies AI deployment while ensuring low latency and optimised processing efficiency.

Together, Arbor (www.arbor-technology.com), DeepX and MemryX provided scalable edge AI that delivers end-to-end visibility across the baggage handling process. Real-time alerts and intuitive dashboards empower operators to act quickly, improving efficiency and passenger experience.

It supports deployment across terminals and allows future expansion through AI upgrades and cloud integration, helping airports build smarter, more resilient infrastructure.