System-Ready Camera Modules Built for the NVIDIA Jetson Platform
NVIDIA Jetson provides the processing power for embedded AI, while FRAMOS provides the camera hardware, software, and imaging expertise needed to make vision systems work reliably on the platform. From FSM:GO camera modules and open-source Jetson drivers to Holoscan workflows, ISP tuning, optics, focusing, and D400e 3D depth support, FRAMOS helps teams build complete vision pipelines for real-world edge AI applications.
More than a camera on a board
NVIDIA® Jetson™ platforms power edge AI at the hardware level - but reliable vision performance depends on every layer of the stack working together. The image sensor, optics, driver, ISP configuration, streaming workflow, and application software must all be validated as a system.
FRAMOS delivers that complete stack for Jetson: system-ready FSM:GO camera modules, open-source Jetson drivers, V4L2 and LibSV resources, NVIDIA Holoscan workflow support, tuned image pipelines, and hands-on integration expertise for both 2D and 3D vision applications.
NVIDIA Jetson Vision Stack Support
FRAMOS supports the complete path from camera module to Jetson application - from hardware and drivers through ISP tuning to Holoscan-ready streaming.
Open-Source Drivers & V4L2
FRAMOS publishes Jetson driver resources for supported FSM:GO image sensor modules, enabling camera hardware integration into NVIDIA Jetson systems using familiar Linux V4L2 video workflows. LibSV adds a streamlined application development layer on top.
- Jetson driver resources for supported FRAMOS modules
- LibSV support for V4L2 application development
- Open-source on GitHub - inspect, fork, contribute
Holoscan 2D & 3D Vision
FRAMOS supports NVIDIA Holoscan workflows for high-performance vision streaming and sensor integration. This includes Holoscan driver support for FSM:GO optical sensor modules and D400e 3D depth cameras via Holoscan Sensor Bridge workflows.
- Holoscan driver support for FSM:GO 2D modules
- D400e 3D depth camera support via Sensor Bridge
- High-performance streaming for embedded AI
ISP Tuning & Image Quality
Reliable AI output starts with consistent, well-tuned image data. FRAMOS supports Jetson-based systems with tuned ISP configurations, validated optics, focusing expertise, and image quality engineering matched to the application and target platform.
- Jetson ISP tuning for consistent image quality
- Matched optics, focusing, and calibration support
- Image quality engineering for AI applications
FRAMOS Jetson resources are available now on GitHub
Developers can access FRAMOS Jetson drivers, LibSV resources, and Holoscan driver support through the FRAMOS GitHub repository. Open-source and ready to integrate into your Jetson vision pipeline.
View FRAMOS on GitHub →System-Ready Cameras for NVIDIA Jetson
Every FSM:GO module ships with a matched sensor, validated optics, platform-optimized Jetson drivers, and a tuned image pipeline - ready to connect and deploy on your Jetson-based system.
- Camera module
- Matched & validated lens
- PixelMate™ interface
- Jetson-validated driver
- ISP-tuned image pipeline
FSM:GO IMX678
8.3 MP Sony STARVIS 2 sensor with 4K resolution, NIR sensitivity, and excellent low-light performance. Ideal for inspection, surveillance, and payload imaging on Jetson.
FSM:GO IMX676
12.6 MP ultra-wide vision with up to 185° HFoV. Built for FPV, situational awareness, and wide-area coverage applications on Jetson platforms.
FSM:GO IMX900
Global shutter sensor for motion-accurate imaging. Ideal for SLAM, navigation, and machine vision applications where distortion-free frames are essential.
FRAMOS D400e
Industrial 3D depth cameras for Jetson-based systems with full Holoscan Sensor Bridge workflow support - extending FRAMOS platform coverage to 3D depth vision.
All FSM:GO modules include Jetson driver resources via github.com/framosimaging
Browse all FSM:GO modulesReady to build your Jetson vision system?
Talk to a FRAMOS vision engineer about FSM:GO modules, Jetson drivers, ISP tuning, or full system integration support. Or explore the open-source resources on GitHub to get started today.