FRAMOS announces official support for NVIDIA Holoscan Sensor Bridge on its D400e series of industrial 3D depth cameras, enabling integration of RealSense-based stereo vision into advanced Edge AI workflows on NVIDIA Jetson AGX Orin and Jetson AGX Thor.
Engineered for demanding industrial and robotics environments, the D400e depth cameras are now optimised to work within Holoscan’s low-latency, modular processing framework. Developers can ingest depth and RGB data directly into GPU memory, accelerating AI-powered tasks such as object recognition, collision avoidance, scene segmentation, and spatial AI. These cameras share an optical configuration with the RealSense D400 camera series, and the same simulation models can be used to virtually test robotics systems in NVIDIA Isaac Sim.
The integration includes new firmware for the FRAMOS D400e series of cameras, simplifying the development process for applications in logistics automation, factory robotics, autonomous mobile robots (AMRs), and intelligent Edge inspection systems. This update builds on FRAMOS’ existing Holoscan support for FSM:GO optical sensor modules, a lineup of application-ready MIPI CSI-2 camera modules that are supported by the open source Holoscan sensor bridge drivers available on Github.
“By adding support for NVIDIA Holoscan Sensor Bridge to the D400e camera family, we’re able to provide our customers the same hardware trusted by hundreds of customers with a new way to connect to the latest NVIDIA Jetson hardware” says André Brela, Product Manager at FRAMOS. “We’re empowering our customers to combine robust 3D sensing with Edge AI more easily and in a way that can be extended to support complex multi-camera systems needed in applications like humanoid robotics”
