ARBOR, DeepX, and MemryX Deliver Scalable Edge AI for Airport Baggage Systems
April 27, 2026
News
ARBOR introduced its industrial-grade edge AI platform, ARES-1983H-AI, that is engineered for continuous operation in rugged space-constrained environments including airport baggage handling areas. It is designed for consistent, maintenance-free operation in harsh environments that contain various temperatures, dust, and vibration.
Integrated DeepX AI-based computer vision technology provides precise baggage flow conditions including jams, pileups, and congestion across conveyor systems. MemryX is also involved providing its MX3 M.2 AI Accelerator Module that offers high-performance, energy-efficient inference at the edge.
ARBOR, DeepX, and MemryX is delivering a scalable edge AI platform that offers end-to-end visibility across the baggage handling process. The solution is ready for future expansions via AI upgrades and cloud integration. It will aid in building a smart and resilient infrastructure.
For more information, visit https://www.arbor-technology.com/en/product/ARES-1983H-AI-Series?utm_source=opensystem&utm_medium=news&utm_campaign=baggagesolution.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
