As manufacturers continue to automate complex production workflows, machine vision is becoming a critical layer for helping robotic cells inspect, guide, and respond with greater precision. A robotics automation company needed a rugged edge AI platform to support custom vision applications inside production robotic cells, where PoE cameras, industrial I/O, and cabinet-level reliability were essential. Premio’s Mid-Range AI Edge Computer, JCO-3000-ORN Series, helped deliver the compute, connectivity, and industrial resilience needed to support vision-guided automation in demanding factory environments.
Challenges
- Need for GPU accelerated edge AI processing to support custom machine vision workloads
- Need for 4x PoE connectivity to power and connect multiple PoE cameras
- Rugged computer design capable of operating inside an industrial cabinet with airflow
- Industrial I/O support for DIO and COM connections across robotic cell equipment
- UL certification required for industrial deployment confidence
Solution
- Premio’s Mid-Range AI Edge Computer (JCO-3000-ORN Series with NVIDIA Jetson Orin NX 16GB)
- 4x RJ45 LAN with optional PoE+ configurations
- Industrial I/O with DIO and COM support
- Industrial-grade reliability with wide operating temperature from -20°C up to 60°C
- UL certified design for industrial safety requirements
Benefits
- Simplified machine vision deployment
- Rugged compute for cabinet integration
- Reliable AI inference near the robotic cell
Company Overview
Focused on industrial automation, the company designs and integrates robotic systems that help manufacturers improve productivity, consistency, and uptime. Its team brings experience in robotic cell development, production validation, and ongoing support for production environments that require dependable automation. Looking forward, the company continues to expand vision-guided robotic capabilities that make automated production cells more adaptive, reliable, and efficient.
The Challenges
Edge AI Performance for Vision Workloads
Custom machine vision applications needed localized processing near the robotic cell. Sending camera data to distant systems could add latency and complexity. The company needed GPU accelerated edge AI compute for real-time robotic guidance and inspection.
Multi-Camera PoE Connectivity
The robotic cell required four PoE cameras to capture visual data from multiple angles. Each camera needed both power and data through a streamlined connection. A 4x PoE-capable system helped reduce cabling complexity inside the automation cell.
Rugged Cabinet Deployment
The vision computer needed to operate inside an industrial cabinet with airflow. The system had to withstand factory conditions while maintaining stable performance during production. An industrial-grade platform was required for long-term deployment near active robotic equipment.
Industrial I/O Integration
The vision system needed to communicate with controllers, sensors, actuators, and other cell hardware. DIO and COM support were essential for direct integration with industrial equipment. Without native industrial I/O, the deployment would require extra adapters and added complexity.
Certified Industrial Safety
Production environments often require certified hardware for deployment confidence. The company needed UL certification to support industrial installation requirements. Certified safety helped make the system more suitable for robotic automation environments.
The Solution
Premio’s Mid-Range AI Edge Computer (JCO-3000-ORN Series with NVIDIA Jetson Orin NX 16GB)
Rugged Edge AI Platform
The JCO-3000-ORN Series with NVIDIA Jetson Orin NX 16GB delivered the AI performance needed for machine vision processing at the robotic cell. Its Jetson Orin NX 16GB configuration features a 1024-core NVIDIA Ampere architecture GPU and up to 100 TOPS of AI performance. This allowed the integrator to keep vision processing close to the cameras and robotic equipment for faster decision-making.
4x PoE Camera Connectivity
The system supported 4x RJ45 LAN with optional PoE+ configurations, enabling the platform to connect and power multiple PoE cameras from a single industrial computer. With support for up to four PoE cameras, the JCO-3000-ORN Series was well suited for machine vision applications in robotic production cells. This helped simplify the camera architecture while reducing external power accessories and cabling complexity.
Industrial I/O for Robotic Cell Communication
The JCO-3000-ORN Series offered industrial I/O including isolated DIO and COM connectivity to support automation equipment integration. It provides 8x DI and 8x DO with isolation, along with RS-232/422/485 serial communication support. These interfaces helped the vision system communicate with surrounding devices in the robotic cell without relying on non-industrial adapters.
Reliable Operation Inside Industrial Cabinets
The system’s industrial-grade design supported deployment inside a cabinet with airflow, where thermal performance and durability are critical. It supports wide operating temperatures from -20°C up to 60°C depending on configuration, along with shock and vibration resistance for demanding industrial environments. Its rugged fanless construction and heavy-duty metal enclosure made it a practical fit for machine builders and automation integrators deploying systems near production equipment.
UL Certified Industrial Design
The JCO-3000-ORN Series provided UL certification to support safety-focused industrial deployment requirements. Its UL 62368-1 certification helped give the integrator confidence that the system met recognized safety standards for industrial computing hardware. For robotic production cells, this made the platform better suited customers that require UL-certified equipment in their automation environments.
The Benefits
Streamlined Vision Deployment
Integrated PoE connectivity helped simplify camera installation by reducing the need for separate power infrastructure. This made the robotic cell easier to wire, service, and replicate across future deployments.
More Reliable Cabinet Integration
The rugged industrial design supported dependable operation inside cabinet-mounted production environments. With Premio’s Los Angeles area support, the integrator also had access to responsive technical assistance for deployment needs.
Faster Decisions at The Edge
Local AI processing helped bring inference closer to the cameras and robotic equipment. This supported more responsive vision-guided automation without depending on distant processing systems.
Conclusion
By standardizing on the JCO-3000-ORN Series, the robotics automation company gained a rugged edge AI platform purpose-built for machine vision inside robotic production cells. The combination of NVIDIA Jetson Orin NX compute, PoE camera connectivity, industrial I/O, wide-temperature reliability, and UL certification helped address the practical realities of factory automation. The result was a more integrated and deployment-ready foundation for vision-guided robotic systems.