Cincoze’s Fanless GM-1100 Accelerates AI Vision for AOI and Airport Security Applications
July 24, 2025
News
Cincoze’s innovative MXM GPU computer series, the compact GM-1100 (260 x 200 x 85 mm), leverages the latest 14th Gen. Intel Core processors and NVIDIA MXM GPU modules to deliver enhanced computing capabilities and graphics processing for high-speed edge AI computing supporting real-time insights. The GM-1100 is designed for edge AI applications in vertical industries within transportation and manufacturing.
High-speed I/O interfaces consist of up to 10GbE LAN, 20Gbps USB 3.2 Type-C, an M.2 Key M slot for expansion, and high-speed NVMe SSDs. Its operating temperature range is -40°C to 70°C utilizing 9-48V.
Applications:
Transportation:
- With its expansion I/O options that support LAN, COM, USB, and DIO interfaces, the solution has the flexibility to connect with cameras, passport readers, and gate controllers. For efficiency in clearing customs and safety, it reliably attains fast and precise identity recognition and prohibited goods detection while also aiding Airport E-gates and X-ray scanners.
Manufacturing:
- The AI inference abilities of the MXM GPU allow quick and accurate identification of product defects and object location benefiting automated optical inspection (AOI) and robotic bin-picking systems. It adheres to industrial-grade EMC standards and holds CE, UKCA, FCC certifications, and complies with ICES-003 Class A level. The GM-1100 supports multiple installation methods, such as wall, side, DIN rail, and VESA.
For more information, visit cincoze.com/en.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
