Premio VCO-6000-CFL-2

VCO-6000-CFL Machine Vision Computer Series

More versatile compute hardware is driving automation at the heart of Industry 4.0's reformations. Purpose-built ruggedized hardware is safely carrying powerful machine vision computing intelligence into more challenging, dynamic environments. The hardened IoT solutions provide real-time insights, low-latency responsiveness, workload consolidation and nimble automation capabilities close to the data sources.

The VCO-6000-CFL Machine Vision Computer Series bring vigorous performance to rigorous settings. These embedded computers are engineered to apply Intel®'s 9th Gen (codename: Coffee Lake Refresh) and Q370 chipset PCH advanced processing to responsive visual analysis in volatile, demanding and mobile deployments. The VCO-6000-CFL Machine Vision Computer Series support rich processing, future-ready storage technologies, and rapid connectivity for more reliable, efficient processing at the rugged edge.

The VCO-6000-CFL Machine Vision Computer Series support powerful GPUs, processing volumes of complex data to drive AI functions. The Machine Vision Computer is deployed in either controlled or dynamic environments to capture data to train neural networks. The computers process countless inputs to prompt the neural network to arrive at the desired result. The neural network is exhaustively adjusted until it displays a cognitive understanding of the input to accurately perform the process independent of human involvement.

Once a neural network is trained, its refined algorithms are deployed at the rugged edge to conduct inference analysis. The speed and accuracy of a properly informed algorithm greatly exceed those of human counterparts. Industrial and critical infrastructure sectors are awakening to the fresh insights and optimization potential for safer, more resource- and cost-efficient automation.

The VCO-6000-CFL Machine Vision Computer Series' rapid NVMe storage support and high-speed I/O expandability drive efficient data collection and processing for training neural networks, quickly offloading essential data to cloud archives for more advanced IoT management. Powerful GPU expandability applies the informed algorithms toward inference analysis tasks at key edge network positions in real- time. Ruggedized hardware architecture safeguards the Machine Vision Computer in harsh environments, while seamless connectivity ensures reliable communication from remote and mobile settings.

The front sided PCIe expansion slots for the vision computer can be populated with GPU performance accelerators in a Full-Length, Full Height form factor. GPUs allow intelligent devices to run machine learning algorithms for inference analysis of data from a variety of IoT sensors.

Unique PCIe magazine tray is designed for easy installation and access to full-size PCIe x16 GPU acceleration cards. Easy and adjustable mechanical brackets provide locking reinforcement to ensure resistance against shock and vibration.

The VCO-6000-CFL Machine Vision Computer Series ensures ultimate reliability by delivering cooling where it counts. The ultra-conductive aluminum heat sink dissipates heat with the support of a hot-swappable smart fan module that regulates performance based on thermal readings.

Support for an onboard M.2 NVMe drive with PCIe 3.0 x4 performance efficiently feeds integrated CPUs and GPUs volumes of data for complex data cache applications.

Supports two hot-swappable external SATA SSD/HDD drive bays and two internal drive bays for a scalable RAID solution. The external 2.5" drive bays permit hot-swappable replacement of the SATA drives, simplifying service and capacity upgrades.

VCO-6000-CFL-2 Specifiation

• Premio VCO-6000-CFL-2 Datasheet (371.6 kB)
• Premio VCO-6000-CFL Product Brief (2833.4 kB)