AAEON partners with Imaging Source for robust AI vision solutions

Machine Learning


Written by Chad Cox

production editor

embedded computing design

July 20, 2026

news

AAEON partners with Imaging Source for robust AI vision solutions

Image credit: AAEON

AAEON has announced a partnership with industrial camera manufacturer The Imaging Source. AAEON’s BOXER-8645AI is compatible with The Imaging Source’s Acuva series of rugged, high-speed GMSL2 IP67 cameras. Together, the companies will build solutions for vision-enabled applications in robotics, agriculture, automotive, and other embedded and industrial vision systems.

Imaging Source’s Acuva series combines Sony and ONSemi CMOS sensors (2.3 MP to 20 MP) to deliver high-resolution, low-latency imaging at frame rates up to 100 FPS. The series features an IP67-rated housing, an integrated M12 S-mount lens, and a coaxial PoC cable with FAKRA connectors up to 15 meters for rugged and flexible deployment. The 6 Gbps GMSL2 interface not only guarantees high-speed, low-latency image transfer, but also the SDK, drivers, and ongoing support provided by The Imaging Source with a 3-year warranty.

“Our partnership with The Imaging Source allows our customers to reduce time to market while benefiting from the long life span offered by the Acuva series for more robust applications,” said Louis Wu, Product Manager at AAEON Technology. “By establishing compatibility with Acuva industrial GMSL2 cameras, our customers will benefit from shorter development cycles, simpler integration, and more reliable AI vision performance in the harshest environments.”

Industrial and robotics

  • AMR, AGV, Factory Automation

Heavy machinery and outdoors

  • construction, mining, agriculture

Automobiles and mobility

  • ADAS, smart mobility systems

transportation and infrastructure

  • Railway, maritime, traffic monitoring

said Momchil Binev, Senior Product Manager at The Imaging Source. “By combining our industrial IP67 GMSL2 cameras with AAEON’s robust AI computer, we remove integration barriers and allow developers to focus on innovation.”

For more information, please visit aaeon.com/en/news/detail/the_imaging_source_acuva_gmsl2_ip67_cameras_partnership.

Chad Cox is a production editor at Embedded Computing Design. His responsibilities focus on content creation, writing and editing, and article research and development. Chad is known for covering industry news and events and interacting with various industry leaders through in-house visits and online interviews. He is responsible for distributing news through our digital footprint and social media posts, creating advertising, and producing newsletters. Embedded Computing Design Daily.

He is well-versed in various aspects of industrial computing including edge AI, IoT, processing, security, open source, and more.

Chad graduated from the University of Cincinnati with a bachelor’s degree in cultural analysis literature and a master’s degree in education.

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