Orbbec
Orbbec’s Gemini 335Lg is a GMSL/FAKRA-enabled depth camera built for long-range, industrial-grade stereo vision, delivering high-accuracy 3D sensing in dynamic environments.
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Orbbec
Orbbec’s Gemini 335Lg is a GMSL/FAKRA-enabled depth camera built for long-range, industrial-grade stereo vision, delivering high-accuracy 3D sensing in dynamic environments.
Robotics and AI vision provider Orbbec announced a partnership with embedded and edge AI computing provider Connect Tech at Automate 2025.
The trade show is being hosted by the Association for Advancing Automation (A3) May 12-15 at the Huntington Place Convention Center in Detroit, Mich.
The collaboration will provide built-in support for the Gemini 335Lg, a GMSL/FAKRA version of Orbbec’s Gemini 335L stereo depth camera.
The Connect Tech Anvil Embedded System and Anvil-RX Rugged System, powered by NVIDIA Jetson AGX Orin, now provide native support for Orbbec’s Gemini 335Lg, enabling high‑performance stereo‑vision systems in robotics, autonomous machines, industrial automation, and smart agriculture applications.
Orbbec is demonstrating the 355Lg on the Connect Tech Anvil in booth 9004. Connect Tech is showcasing real-time physical AI in booth 6734.
Orbbec and Connect Tech said they joined forces to deliver trusted hardware along with essential camera software, helping to significantly reduce overall application development time. The collaboration not only increases the variety of compute platforms to utilize with the Gemini G335Lg, but also broadens the sensor selection options for Connect Tech’s Anvil Embedded System for:
“We couldn't be more pleased to partner with Connect Tech to bring their expertise in embedded and edge AI computing to stereo-vision systems powered by our Gemini 335Lg,” said Mike McSweeney, Orbbec VP of global sales.“Through this partnership, we are able to not only provide our customers with an industrial-class solution, but one that is available at an affordable price point.”
Orbbec said its Gemini 335Lg is a rugged GMSL/FAKRA-enabled depth camera built for long-range, industrial-grade stereo vision, delivering high-accuracy 3D sensing in dynamic environments.
Connect Tech said its Anvil-RX is a rugged embedded system built on NVIDIA Jetson AGX Orin. Fully IP67 rated, with M12 and sealed PC connectors, this powerful edge system can be deployed for mission-critical applications in harsh environments and is ready to withstand even the most compute-intensive AI applications with its power-efficient and feature-rich design.
Connect Tech is a longstanding NVIDIA Elite partner, working with the Jetson platform for 10 years and offering a wide array of readily available systems for the entire platform including edge devices, carrier boards, thermal systems, board support packages, and advanced ROS-ready platforms for robotics applications.
Orbbec has also been an NVIDIA Preferred partner for a number of years, which it said brings deeper integration between its advanced 3D cameras and NVIDIA's edge AI platforms to the benefit of NVIDIA developers.
“Supporting Orbbec’s new Gemini series camera across USB, GMSL, and ethernet interfaces strengthens our ability to provide reliable, high-performance Edge AI platforms,” said Rob Callaghan, Connect Tech CPO. “This collaboration enables developers a streamlined path to integrate advanced 3D vision into autonomous machines and robotics using Connect Tech systems.”
At Automate 2025, a live demonstration is being shown at the Orbbec booth, featuring four Gemini 335Lg (GMSL/FAKRA) cameras running on the Connect Tech Anvil, leveraging the NVIDIA AGX Orin system-on-a-module (SoM).
The demo will focus on an obstacle detection and navigation system for a large autonomous mobile robot (AMR), showcasing a critical use case that enables a more reliable and rugged connectivity option, as compared to USB, ensuring dependable performance in harsh, real-world deployments.
Connect Tech’s booth is featuring a real-time spatial understanding system highlighting physical AI principles, enabling robots to perceive and interact with environments dynamically.
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