As railway systems become more connected, industrial automation teams are under pressure to bring real time intelligence closer to control equipment without adding complexity inside space constrained enclosures. An industrial networking and automation solutions provider needed an edge AI computer that could integrate with its custom PoE switch architecture while supporting reliable deployment inside a railway control panel box. Premio’s Mid-Range AI Edge Computer, JCO-3000-ORN Series, helped provide compact, rugged, and certification-ready computing for AI enabled railway control applications.
Challenges
- Real time AI processing required high-performance edge computing inside the control environment
- At least four Ethernet ports were needed to connect with the customer’s custom PoE switch architecture
- Industrial grade reliability was required for operation inside an enclosed control panel box
- Compact sizing was necessary to fit within limited control panel space
- UL certification was required for deployment confidence in regulated industrial applications
Solution
- Premio’s Mid-Range AI Edge computer with NVIDIA Jetson Orin NX 16GB (JCO-3000-ORN Series)
- NVIDIA Jetson Orin NX 16GB module supporting up to 100 TOPS of AI performance
- 4x RJ45 GbE LAN with optional PoE configuration
- Compact fanless design measuring 192 x 140 x 58 mm
- Wide operating temperature from -20°C up to 60°C with UL 62368-1 certification
Benefits
- Real time AI at the railway edge
- Easier integration with custom PoE switching
- Strong application engineering and technical support
Company Overview
Focused on industrial automation and networking, the company develops solutions that help connect critical infrastructure across demanding environments. Its expertise includes industrial switching, PoE connectivity, and rugged network architectures for applications such as rail systems, substations, and other harsh operating environments. Looking ahead, the company continues to expand intelligent industrial network deployments where edge computing, automation, and reliable connectivity work together.
The Challenges
Real Time AI Processing
Railway control systems increasingly rely on fast data interpretation to support automation, monitoring, and decision making at the edge. Sending data back to a distant server can introduce latency, complexity, and additional network dependency. The customer needed a compact AI computer capable of processing information locally inside the control environment.
Ethernet Connectivity for Custom PoE Architecture
The customer built its own PoE switches and needed the edge AI computer to connect directly into that custom networking design. At least four Ethernet ports were required to support multiple connections within the railway control panel architecture. Without sufficient LAN connectivity, the system would need additional adapters or hardware that could complicate the enclosure design.
Industrial-Grade Reliability
Because the system would operate inside a control panel box, reliability was just as important as computing performance. Enclosed environments can introduce heat, vibration, dust exposure, and limited-service access. The customer needed an industrial grade platform designed for consistent operation in demanding field deployments.
Compact Control Panel Fit
Railway control panels often have limited internal space after power supplies, switches, wiring, and protection components are installed. The AI computer had to fit neatly into the enclosure without forcing major mechanical redesign. A slim, compact footprint helped preserve space while still enabling advanced edge AI capability.
UL Certification Requirement
For industrial deployments, safety certification can be a critical factor in system qualification and customer confidence. The project required UL certification to support deployment expectations in regulated environments. Selecting a certified platform helped reduce risk during integration and approval.
The Solution
Premio’s Mid-Range AI Edge Computer
The JCO-3000-ORN Series was selected as the AI computing platform for the railway control panel deployment. Installed inside the customer’s custom enclosure, the system provides localized compute resources for AI-driven automation tasks. Its industrial edge design made it a practical match for railway infrastructure where space, reliability, and integration flexibility all matter.
Real-Time AI Performance
The JCO-3000-ORN Series supports both NVIDIA Jetson Orin Nano and Orin NX modules, giving integrators flexibility to match AI performance with deployment needs. For this railway control panel application, the customer leveraged the Jetson Orin NX 16GB version for higher performance real time inference. This helped enable local AI processing inside a compact edge system.
4x RJ45 LAN Ports with Optional PoE
The JCO-3000-ORN Series configuration provides 4x RJ45 GbE LAN ports, aligning with the requirement for at least four Ethernet connections. This allowed the customer to connect its own PoE switch to the edge AI computer without adding unnecessary networking layers. The optional PoE configuration also supported future flexibility for machine vision, sensors, or other Ethernet connected devices.
Compact Fanless Mechanical Design
With dimensions of 192 x 140 x 58 mm, the JCO-3000-ORN Series fit the space constraints of a control panel box while still delivering industrial AI performance. Its fanless construction reduced moving parts, supporting greater reliability inside an enclosure where maintenance access may be limited. The compact design helped the customer preserve room for its PoE switch, wiring, and other control components.
Wide Temperature Operation and UL Certification
The platform supports a wide operating temperature range from -20°C up to 60°C depending on configuration, helping maintain performance across changing field conditions. It also carries UL 62368-1 safety certification, supporting deployment confidence for industrial automation environments. For a railway control panel application, these characteristics helped align the AI computer with both ruggedization and compliance expectations.
The Benefits
Real-Time AI at The Railway Edge
Local AI processing helped bring faster decision making closer to the control system. The customer could deploy intelligence inside the panel rather than relying on distant compute resources.
Easier Integration with Custom PoE Switching
The 4x LAN configuration gave the customer the Ethernet connectivity needed to integrate with its own PoE switch design. This helped simplify the system architecture and preserve the customer’s preferred networking approach.
Strong Application Engineering and Technical Support
Dedicated application engineering and technical support helped the customer validate the JCO-3000-ORN Series for its railway control panel requirements. Premio’s Los Angeles area support team provided a practical resource for technical coordination throughout integration.
Conclusion
By combining edge AI performance, compact mechanical design, multiple LAN ports, and industrial certification, the JCO-3000-ORN Series helped the customer advance a railway control panel solution built for real world deployment. The result was a practical path to integrate AI processing with custom PoE switching inside a rugged enclosure. For railway automation, the project shows how intelligent edge computing can strengthen control systems without adding unnecessary complexity.