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Industrial Edge Computing PC – On-Site Data Processing

Edge computing brings data processing to where it’s needed: directly at the machine, production line, or vehicle. Instead of sending data to the cloud over long distances, edge PCs process sensor, camera, and machine data in real time – with minimal latency and maximum data security.

OMTEC supplies industrial-grade edge computing hardware from leading manufacturers like Neousys and Cincoze – fanless, compact, and designed for 24/7 continuous operation.

Why Edge Computing Is Essential for Industry

In modern manufacturing environments, each machine often generates several gigabytes of data per hour. Cloud solutions reach their limits here: bandwidth, latency, and data privacy requirements make local processing indispensable. OMTEC’s edge computing PCs solve this challenge with compact, fanless systems that work reliably even under harsh industrial conditions.

Edge Computing in Action: Typical Applications

The applications for edge computing systems span across all industries where real-time data processing is critical:

  • AI Quality Inspection: Image processing and defect detection directly on the production line
  • Predictive Maintenance: Analyze vibration and temperature data before failures occur
  • Autonomous Vehicles & Robotics: Real-time decisions without cloud dependency
  • Smart Factory / IoT Gateway: Aggregate, filter, and forward sensor data
  • Video Analytics & Surveillance: Evaluate multiple camera streams simultaneously

Edge Computing Hardware Requirements

  • GPU Acceleration: NVIDIA GPUs (RTX, Tesla) or Jetson for AI inference at the edge
  • Fanless Operation: Maintenance-free and dust-resistant
  • Extended Temperature Range: -25°C to +60°C
  • Compact Form Factor: DIN rail or wall mount
  • Industrial Interfaces: GbE/PoE, USB 3.2, RS-232/485, CAN bus, GPIO

All OMTEC edge computing systems meet IP50 protection or higher and are certified for vibration and shock resistance per MIL-STD-810G.

OMTEC Edge Computing Solutions Overview

As a specialized distributor, we offer edge computing hardware ranging from compact IoT gateways to high-performance GPU systems for deep learning at the edge. All systems are designed for 24/7 continuous operation.

Recommended Product Lines:

Planning an edge computing project? Contact us for individual consultation.

Our Recommendations for Edge Computing

Discover our best-selling edge computing systems – proven in demanding industrial applications worldwide.

FAQ – Industrial Edge Computing

Edge computing is transforming industrial data processing. Here we answer the most important questions about technology, hardware requirements, and applications.

What is the difference between edge computing and cloud computing?+
With cloud computing, data is sent to centralized data centers. Edge computing processes data directly on-site – with significantly lower latency (milliseconds instead of seconds), higher data security, and independent of internet connectivity.
Which GPU is suitable for AI at the edge?+
For compact systems, we recommend NVIDIA Jetson Orin (up to 275 TOPS). For maximum performance, choose systems with NVIDIA RTX or Tesla GPUs – ideal for multi-camera inference and deep learning.
Are edge PCs suitable for continuous operation?+
Yes – all our edge computing systems are designed for 24/7 operation. Fanless cooling, industrial-grade components, and extended temperature ranges guarantee reliability for years.
What protection class do edge PCs need for industrial use?+
For production environments, we recommend at least IP50. For outdoor or vehicle-mounted applications, IP67 is standard. Our SEMIL series offers up to IP67 with MIL-STD-810G certification.
What does EN50155 mean for edge computing in rail transport?+
EN50155 is the European standard for electronic equipment in railway vehicles. It defines requirements for temperature (-40°C to +70°C), vibration, voltage tolerance, and EMC. Our certified edge PCs meet this standard for reliable operation in rail environments.
How many AI camera streams can an edge PC process simultaneously?+
This depends on the GPU and model complexity. A system with NVIDIA RTX 4000 typically processes 8–16 HD streams simultaneously. Jetson Orin-based systems handle 4–8 streams with a compact form factor and low power consumption.
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