Panel PC basés sur ARM
As the demands of Industrial IoT (IIoT) and Edge AI continue to grow, the need for energy-efficient, compact, and highly reliable computing solutions becomes paramount. ARBOR's ARM-based Panel PCs are engineered to excel in these very environments, offering a unique blend of performance, power efficiency, and industrial-grade durability.
These fanless Panel PCs provide a cost-effective and robust Human Machine Interface (HMI) for applications where low power consumption, silent operation, and a small footprint are critical.
Key Features & Advantages:
- Exceptional Energy Efficiency: Leveraging the ARM architecture, these panel PCs consume minimal power, making them ideal for always-on operations, battery-powered systems, and remote deployments where energy conservation is key.
- Fanless & Ultra-Compact Design: The fanless design ensures silent operation, reduces maintenance, and prevents dust ingress, making them perfect for space-constrained, noise-sensitive, or hygienically critical environments.
- Optimized for Embedded OS: Designed for seamless integration with embedded operating systems like Android and Linux, providing a flexible and robust platform for diverse application development.
- Industrial-Grade Reliability: Built with rugged components and designed for wide operating temperature ranges, these industrial panel PCs ensure long-term stability and dependable performance in harsh conditions.
- Intuitive Touch Interface & Versatile I/O: Features responsive touchscreen displays (available in various touch technologies) and a rich set of variable I/O interfaces for flexible connectivity to peripherals and sensors.
- Cost-Effective Solution: Offers a highly competitive cost-performance ratio, making intelligent HMI solutions accessible for a wider range of projects.
Ideal Applications:
ARBOR's ARM-based Panel PCs are perfectly suited for smart kiosks, digital signage, factory automation, access control systems, smart home/building automation, retail point-of-sale (POS), light industrial automation, and data collection at the edge.