At Automate 2026, Premio joined Intel to demonstrate how edge AI is transforming industrial automation. Rather than relying on cloud infrastructure, today's AI applications increasingly process data where it's generated, at the edge, enabling faster decisions, lower latency, and greater data privacy.
During the event, Premio showcased two live demonstrations highlighting different approaches to edge AI. One focused on Physical AI for robotics, while the other demonstrated real-time video analytics for security applications. Together, they illustrate how purpose-built edge computing platforms are enabling the next generation of intelligent systems.
Demo 1: Physical AI Powered by LLM, VLM, and VLA
Solutions Overview
This demonstration showcased Premio's KCO-6000-ARL Edge AI Workstation powered by Intel® Core™ Ultra Series 2 processors, leveraging the Intel® OpenVINO™ Toolkit, Intel® oneAPI Toolkit, and Intel® Robotics AI Suite to accelerate multimodal AI inference for next-generation Physical AI applications at the edge.
By combining:
- Large Language Models (LLMs)
- Vision Language Models (VLMs)
- Vision Language Action (VLA) models
The system enables robots to understand their surroundings, interpret natural language instructions, and perform physical actions in real time.
Industry Challenge
Traditional robots perform well in structured environments but often struggle when conditions change unexpectedly. As robotics applications become more dynamic, systems need to perceive visual information, understand human intent, and make intelligent decisions, all with minimal latency.
Technology Approach
The demo integrates three complementary AI technologies:
- VLMs interpret the surrounding environment and understand visual scenes.
- LLMs understand natural language prompts, infer user intent, and support task-level reasoning.
- VLA models convert that understanding into contextual physical robot actions.
Because the entire workflow runs locally on the edge workstation, decisions happen without depending on cloud connectivity, reducing latency while enabling faster, real-time robotic decision-making. The KCO-6000-ARL also supports PCIe Gen 5 expansion and an optional 600W GPU power supply, providing flexibility for increasingly demanding multimodal AI workloads.
Customer Outcomes
Organizations can deploy robotics systems that:
- Adapt to changing environments.
- Respond to natural language instructions.
- Reduce manual programming requirements.
- Improve flexibility across manufacturing, logistics, and industrial automation.
Looking Ahead
As Physical AI continues to evolve, robotics will move beyond repetitive automation toward systems capable of understanding context and interacting naturally with people. Advances in multimodal AI are enabling robots to perceive, reason, and act more autonomously in dynamic real-world environments. Premio is developing scalable edge AI platforms designed to support these emerging workloads alongside Intel's latest AI computing technologies. This demonstration highlights how scalable Physical AI and agentic AI workloads can be deployed on a flexible, high-bandwidth edge computing platform optimized for intelligent automation and robotics.
Featured Product: KCO-6000-ARL Edge AI Workstation
The KCO-6000-ARL is a high-performance edge AI workstation built for demanding AI, robotics, and industrial automation applications. Its scalable architecture allows developers to deploy today's multimodal AI models while preparing for future compute-intensive workloads.
Key Features
- Intel® Core™ Ultra Series 2 processors
- PCIe Gen 5 expansion for AI accelerators
- Optional 600W GPU power supply
- High-performance platform for edge AI and robotics
- Designed for scalable industrial AI deployments
Learn more: https://premioinc.com/products/kco-6000-arl
Demo 2: Real-Time Loitering Detection with the BCO-500-MTL
Solution Overview
The second demonstration featured Premio's BCO-500-MTL fanless edge computer performing real-time loitering detection using live video analytics, powered by Intel® Core™ Ultra Series 1 processors, the Intel® OpenVINO™ Toolkit, and Intel® Metro AI Suite.
Instead of sending video to the cloud, the system processes AI inference locally to identify individuals remaining within monitored areas beyond a predefined threshold and immediately generates alerts.
Industry Challenge
Organizations operating public facilities, retail stores, transportation hubs, and industrial sites require continuous monitoring without overwhelming security personnel. These environments must quickly detect suspicious lingering while maintaining operational efficiency and protecting sensitive video data.
Cloud-based analytics can introduce additional latency, bandwidth costs, and privacy concerns, especially across distributed deployments.
Technology Approach
The BCO-500-MTL processes video streams directly at the edge using Intel® Core™ Ultra processors.
Its compact fanless design makes it suitable for space-constrained deployments, while three 2.5GbE LAN ports provide flexible connectivity for cameras and network infrastructure. By processing AI workloads locally, organizations receive real-time insights without depending on continuous cloud connectivity.
Customer Outcomes
Benefits include:
- Faster detection of suspicious behavior
- Reduced manual monitoring
- Improved situational awareness
- Lower bandwidth and cloud infrastructure costs
- Enhanced privacy by keeping video data local
Looking Ahead
Edge AI continues expanding beyond manufacturing into smart cities, retail, transportation, and public safety. As AI-powered video analytics become more intelligent, organizations are increasingly moving inference closer to where video is captured to improve response times, reduce infrastructure costs, and strengthen data privacy. Premio is extending AI capabilities across its rugged computing portfolio to help organizations deploy intelligent applications faster while leveraging Intel's growing AI software ecosystem.
Featured Product: BCO-500-MTL Fanless Edge Computer
The BCO-500-MTL is a compact, fanless industrial computer designed for edge AI, machine vision, and intelligent video analytics. Its small footprint and efficient AI processing make it well suited for distributed deployments where reliability and real-time performance are essential.
Key Features
- Intel® Core™ Ultra processors
- Fanless compact industrial design
- Three 2.5GbE LAN ports
- Local AI inference for edge deployments
- Ideal for video analytics, smart city, retail, and industrial applications
Learn more: https://premioinc.com/collections/bco-500-series-fanless-mini-computer
Conclusion
The demonstrations featured during Automate 2026 highlighted how edge AI is enabling intelligent systems to process data, make decisions, and respond in real time across a wide range of industrial applications. From Physical AI for robotics to AI-powered video analytics, Premio continues to develop purpose-built edge computing platforms that help customers bring AI closer to where data is created.
To see more demonstrations and event highlights, visit Premio's Automate 2026 Highlights page.