Modern airports process thousands of baggage items per hour across complex conveyor networks, where operational disruptions translate directly into passenger delays and revenue loss. ARBOR Technology's ARES-1983H-AI Series addresses this challenge by bringing real-time AI inference to the baggage handling floor — combining an industrial-grade edge computing platform with MemryX MX3 M.2 AI accelerator modules and DeepX computer vision analytics. The full product range is available at ipc2u.com.
Solution at a Glance
| Model | Type | AI Performance | Processor | Memory | Best For |
|---|---|---|---|---|---|
| ARES-1983H-AI | Edge AI Box PC | 24 – 96 TFLOPS (1–4 × MemryX MX3) | Intel® 14th/13th/12th Gen. Core™ 35W | Up to 32 GB DDR5 | Real-time baggage flow monitoring, anomaly detection, conveyor analytics |
ARES-1983H-AI — Compact Industrial Edge AI Platform with MemryX Acceleration
ARBOR ARES-1983H-AI Series — Industrial Edge AI Platform featuring MemryX MX3 AI Accelerator
The ARES-1983H-AI Series is a compact, industrial-grade edge AI computing platform built around Intel® 14th, 13th, and 12th Generation Core™ processors running at 35 W TDP. It is specifically designed to accommodate one, two, or four MemryX MX3 M.2 AI Accelerator Modules, scaling inference throughput from 24 TFLOPS in a single-module configuration up to 96 TFLOPS with four modules installed. This modular approach lets operators match compute capacity to the number of camera streams and the complexity of the AI models deployed at each conveyor checkpoint.
In the airport baggage monitoring solution developed jointly by ARBOR, DeepX, and MemryX, the ARES-1983H-AI serves as the on-site inference engine. Cameras installed at key handling checkpoints feed image data directly to the platform, where DeepX AI models analyze baggage flow in real time to detect jams, pile-ups, congestion, and other anomalies. Because all inference runs locally on the MemryX MX3 accelerator modules, the solution avoids the latency and bandwidth overhead associated with cloud-based video analytics — critical in an environment where seconds matter.
The platform supports up to 32 GB of DDR5 memory and offers dual display output via VGA and DisplayPort, up to 8 × USB ports, and 3 × LAN ports for connecting multiple IP cameras and downstream control systems simultaneously. The MemryX MX3 accelerator uses Group-BF16 activation encoding, which delivers higher numerical accuracy than conventional INT8 quantization — an important factor when distinguishing between normal bag spacing and an incipient jam at high conveyor speeds.
From a deployment standpoint, the ARES-1983H-AI is engineered for 24/7 unattended operation in the demanding conditions of baggage handling areas: vibration, dust, variable temperatures, and severely constrained installation space. The fanless and dual fan-sink thermal design options allow integrators to select the appropriate cooling strategy for each specific environment, while wall-mount and DIN-rail bracket kits simplify installation in space-constrained cabinet enclosures. Baggage tracking data synchronized to cloud records enables a continuous chain of custody from check-in through carousel delivery.
