ARBOR at VISION 2026: Edge AI Vision, Live in Hall 8, Booth 8D16
ARBOR brings edge AI vision to VISION 2026 in Stuttgart, October 6 to 8, Hall 8, Booth 8D16. The centerpiece is a construction site safety demo running live: the ARES-1983H-AI inference platform, working with AI accelerators from MemryX, DEEPX and Axelera AI, watches a site in real time for missing safety helmets and high-visibility vests.
Beside it, the FPC-9309W-G5 runs SAIMOS video analytics entirely on Intel Core Ultra Series 2 CPUs. You will also find the LU720 AI Box on MediaTek Genio 720 and the IEC-6700edge controller on Intel's Panther Lake platform. Redeem code UJOH2UP for your ticket. We look forward to seeing you in Stuttgart.
【Online only】Physical AI: Forget the Hype and Get to Work
On October 15, Stanley Li, General Manager of ARBOR Solution at ARBOR Technology, joins Embedded Computing Design's AI at the Edge Day. His starting point is one distinction: autonomous is not automation. A fixed line repeats a fixed SOP, while a Physical AI system senses, decides, then acts on its own.
He works through five industries where that shift is under way, from portioning on a food line and sorting in recycling to automotive inspection, inspection robotics and humanoid robots. Each shows where the loop tends to break at the edge, in thermal, power, I/O and vibration, and how ARBOR approaches it. Register now and join the live Q&A.
3D Metrology at Full Speed: A COM-HPC Core for Dense Point Clouds
This customer builds portable 3D measurement systems for quality inspection, reverse engineering and digital twin work. The constraint is unforgiving: dense point-cloud data has to be processed and drawn on screen while the operator is still scanning, inside a housing small enough to carry into the field.
Performance, power, thermal behavior and mechanical space all had to be balanced at once, and whatever they chose had to carry into the next product generation without a redesign. They built it on ARBOR's COMX-A300 COM-HPC module. Read the full case study to see how the platform came together, and what it frees their engineers to work on next.
