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New 247 MP FRAMOS camera module with Sony's IMX811

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A complete portfolio of camera modules, 3D cameras, optics, and custom solutions engineered for embedded vision systems.

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FSM:GO camera modules are system-ready for easy integration across leading embedded platforms.

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Industrial-grade depth sensing powered by RealSense technology for accurate 3D perception.

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Experts in Embedded
Vision Solutions.

Founded in Munich, Germany over 40 years ago, FRAMOS has empowered companies worldwide to make drones fly safely, enable robots to see and think, make diagnostics faster and more affordable, boost athletic performance with AI, and countless other innovations.

Made in Europe

FRAMOS combines R&D and manufacturing under one roof and provides scalable manufacturing capacities up to millions of pieces in Europe. We ensure supply chain security.

Speed Meets Simplicity

Accelerating your product launch with modular solutions and an open-source model. Don't reinvent the wheel; integrate proven systems faster.

Superior Image Quality AI-Ready

Achieve superior image quality through precise lens focusing and comprehensive image tuning, ensuring performance that feeds clean data to AI models.

Local Partnership - Global Reach

Collaborate quickly and easily with camera experts in Europe and North America - clear communication, no barriers, localized support.

Our Trusted Partners in Embedded Vision Technology

FRAMOS partners with industry leaders to bring you the most advanced and reliable vision technologies, ensuring seamless integration and high-performance solutions for your vision application.

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Fast access to FRAMOS products and easy-to-use open-source software, so you can get started right away.

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Our latest blogs

Welcome to our blog section, where knowledge meets inspiration. Explore insightful articles, expert tips, and the latest trends in our field.

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Industrial 3D Cameras: Rugged 3D Vision Camera for Automation – FRAMOS D435e with GigE & IP66

3D cameras for industrial applications have to operate in harsh production environments and reliably detect moving objects at speed, e.g. when the camera is mounted on a robot arm. Stable...

Depth Sensing Cameras: How Machines Understand the Physical World

The past two decades of innovations in embedded systems, robotics, industrial automation and autonomous vehicles all have one thing in common.

When Robot Safety Becomes a Perception Problem

For decades, robot safety was based on separation. Cages, light curtains, guarded workcells, and emergency stops kept machines and people apart. Physical AI changes that model. Robots increasingly share space...

From Design to Reality: Building Imaging Systems That Work for AI

There is a growing assumption that AI can compensate for any limitation in an imaging system. In practice, an algorithm can only work with the information it receives. If important...

Simulating Image Quality Before the Hardware Exists

In most camera projects, the first honest answer to “will the image quality be good enough for this application?” arrives with the first prototype – after the sensor is chosen,...

From Photons to Pixels to Bits (Many Bits): End-to-End HDR on FPGA

Real scenes do not respect a sensor’s dynamic range. A loading dock at noon, oncoming headlights at night, a weld arc next to dark metal – the information that matters...

Inside libcamera: Why an Open Source Camera Stack Matters for Embedded Vision

Anyone who has brought up a camera on an embedded Linux platform knows the pattern. Every SoC family has its own ISP, its own configuration tools, its own proprietary userspace....

Imaging on the International Space Station: What Space Teaches Us About Cameras That Cannot

Most vision engineers design for environments where a failed camera means a service ticket. In orbit, it can mean a failed docking. Every imaging system that flies has to survive...

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