OnLogic Announces the Release of Cincoze GM-1000 Embedded GPU...

OnLogic Announces the Release of Cincoze GM-1000 Embedded GPU Computer for Machine Vision Applications

Manufacturing Technology Insights | Wednesday, March 03, 2021

The technology is intended for manufacturers of devices, system integrators, suppliers of computer vision systems, and end-users who require efficient, stable computation and processing of graphics for machine vision, protection, autonomous vehicles, medical imaging, or edge AI applications.

FREMONT, CA: The leading maker of industrial computer hardware and IoT solution provider, OnLogic, has announced the immediate availability of the latest Cincoze GM-1000, a versatile embedded computer configurable with NVIDIA and AMD MXM form factor GPUs. The technology is intended for manufacturers of devices, system integrators, suppliers of computer vision systems, and end-users who require efficient, stable computation and processing of graphics for machine vision, protection, autonomous vehicles, medical imaging, or edge AI applications.

"Utilizing traditional fan-cooled graphics cards for machine vision and image processing in harsh environments has previously required a compromise," says Maxx Garrison, Product Manager, OnLogic Rugged Line. "The required graphics processing capabilities meant users were forced to settle for solutions with fewer environmental protections. Now, with the GM-1000 and its passively cooled MXM GPUs, our customers can take advantage of GPU-accelerated computing in a truly rugged system."

According to BCC Research, the worldwide demand for machine vision is projected to hit 31.1 billion dollars by 2024, with a CAGR of 9.7 percent*. In industrial and manufacturing applications, machine vision is commonly used, ranging from target placement, analysis, estimation, recognition, and sorting. For Artificial Intelligence of Things (AIoT) and machine learning functions, the GM-1000 uses a mix of CPU and GPU computing.

Three key GM-1000 capabilities that are specifically useful for machine vision applications and innovators are:

Superior Performance with High Reliability

To speed compute-intensive applications such as machine learning, Al, and high-end image processing, the GM-1000 combines an Intel 9th/8th generation workstation-grade CPU and an MXM 3.1 Type A/B GPU module.

High-speed I/O and Versatile Expansion

For image processing and analysis, high-speed vision cameras and sensors need high-speed connections for near-instantaneous data transfer. High-speed I/O interfaces are supported by the GM-1000, including four USB 3.2 Gen 2 (10Gbps) ports and two GbE LAN connections. Additional expansion options include two 10GbE LAN, four GbE LAN, and PoE via Cincozes' exclusive CMI and CFM technologies.

Small Footprint and Ruggedization

Measuring just 260 x 200 x 85 mm, the GM-1000 machine vision computer makes fast incorporation into workspaces, computers, or robotic arms. The system has a wide working temperature range of -40 to 55 °C (-40 to 70 °C without the GPU), 50G/5G anti-shock and vibration tolerance, 9 to 48 VDC wide-range voltage input, over-voltage safety, over-current protection, and ESD protection to help it stand up to demanding installation conditions. Heat dissipation performance is maximized by the unique thermal design and discrete cooling systems for the CPU and GPU. An external fan package supports additional active airflow to help heat dissipation in low airflow conditions or under high computational loads.

A wide range of storage, memory options, and OS options, like Windows and Linux, can be installed with the Cincoze GM-1000.

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