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System-Ready Camera Modules for Raspberry Pi

FRAMOS brings professional-grade imaging to Raspberry Pi 5 and Compute Module 5, combining cost-effective embedded compute with FSM:GO camera modules, validated optics, open-source drivers, libcamera support, and tuned image pipelines for reliable vision development.

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System-Ready Camera Modules for Raspberry Pi
Processing Platform
Raspberry Pi 5 Compute Module 5 libcamera MIPI CSI-2

System-Ready Camera Modules for Raspberry Pi

FRAMOS brings professional-grade imaging to Raspberry Pi 5 and Compute Module 5 - combining cost-effective embedded compute with FSM:GO camera modules, validated optics, open-source drivers, libcamera support, and tuned image pipelines for reliable vision development.

Talk to a Vision Expert Explore RPi Drivers
RPi 5 and CM5
Full FSM:GO module support for Raspberry Pi 5 and Compute Module 5.
22-pin Adapter
PixelMate interface access via FRAMOS 22-pin adapter for CSI-2.
Open-Source Drivers
FRAMOS GitHub repository with device tree overlays and guides.
libcamera and ISP
Tuned image pipelines with libcamera integration and ISP support.
FRAMOS FSM:GO camera module connected to Raspberry Pi 5
Raspberry Pi 5 and Compute Module 5
FSM:GO validated - libcamera supported
FRAMOS FSM:GO camera module hardware for Raspberry Pi
22-pin Adapter
PixelMate to RPi
Professional-Grade Cameras

Professional-Grade Imaging for Raspberry Pi

FRAMOS brings industrial image quality into the Raspberry Pi ecosystem with FSM:GO camera modules designed for embedded vision applications. The combination of Raspberry Pi 5 or Compute Module 5 with FSM:GO gives developers a cost-effective way to access professional image sensors, validated lens options, and a standardized camera module interface.

FSM:GO support for Raspberry Pi 5 and Compute Module 5
22-pin adapter connects PixelMate camera modules to RPi CSI-2 interface
Open-source Raspberry Pi drivers through FRAMOS GitHub
libcamera and ISP pipeline support for image capture and tuning
Talk to a Vision Expert
Vision Stack Support

Raspberry Pi Vision Stack Support

FRAMOS supports the path from FSM:GO camera module to Raspberry Pi application - from hardware connection through driver installation to image capture and application development.

FSM:GO Module
›
22-pin Adapter
›
RPi 5 / CM5
›
FRAMOS Driver
›
libcamera / ISP
›
Application
Sensor + Optics
PixelMate - CSI-2
Compute Platform
Kernel Module
Image Pipeline
Vision Output

FSM:GO for Raspberry Pi 5 and CM5

FSM:GO camera modules give Raspberry Pi systems access to professional-grade image sensors, selected lens options, and a standardized camera module ecosystem. The FRAMOS 22-pin adapter connects PixelMate camera modules to Raspberry Pi 5 and CM5 for a simple, cost-effective integration path.

  • FSM:GO support for RPi 5 and Compute Module 5
  • 22-pin adapter for PixelMate camera module access
  • Simple, cost-effective path to professional imaging
GitHub Open-Source

Open-Source Drivers and Documentation

FRAMOS provides Raspberry Pi driver resources, device tree overlays, installation guidance, and configuration examples through GitHub and docs.framos.com. This self-service workflow gives developers a clearer starting point for camera bring-up, validation, and application development.

  • Raspberry Pi driver resources on GitHub
  • Device tree overlays and hardware setup documentation
  • Self-service workflow from camera bring-up to validation

libcamera and ISP Pipeline Support

FRAMOS supports Raspberry Pi camera operation through libcamera integration and ISP pipeline resources - helping developers capture images using standard tools with a strong foundation for image quality tuning and building vision applications.

  • libcamera integration for supported FSM:GO modules
  • ISP pipeline support for image capture and tuning
  • Standard tool compatibility for image and video capture
Open-Source Resources

Driver Resources on GitHub

FRAMOS provides Raspberry Pi driver resources through an open-source GitHub repository. Device tree overlays, installation guides, and configuration examples give developers a clear starting point for camera bring-up, driver validation, and application development.

FRAMOS RPi Driver Repository
github.com/framosimaging/framos-rpi-drivers
Documentation and Setup Guides
docs.framos.com - hardware setup and software installation
Explore RPi Drivers on GitHub →
RPi Driver Install + libcamera
# Clone FRAMOS Raspberry Pi driver repository
$ git clone https://github.com/framosimaging/framos-rpi-drivers
$ cd framos-rpi-drivers
# Install driver and device tree overlay
$ sudo ./install.sh
# Apply overlay for FSM:GO module
$ sudo dtoverlay framos-imx676
✓ FRAMOS driver installed
✓ FSM:GO IMX676C detected
# Capture a test image with libcamera
$ libcamera-jpeg -o test.jpg --camera 0
Featured Modules

Build Your Raspberry Pi Vision System Faster

FRAMOS connects FSM:GO camera modules, Raspberry Pi driver resources, 22-pin adapter options, libcamera support, and tuned image pipelines into a cost-effective embedded vision path for Raspberry Pi 5 and Compute Module 5.

FSM:GO IMX676C camera module with M12 lens for Raspberry Pi - FRAMOS
FSM:GO - M12 Lens - PixelMate
In the box
  • Image sensor module
  • Matched & validated lens
  • 22-pin adapter + FFC cable
  • RPi-validated driver
  • libcamera-compatible ISP pipeline
FSM:GO
IMX676C
12.3 MP - Global Shutter

FSM:GO IMX676C

12.3 MP global shutter sensor with ultra-wide FoV, NIR sensitivity, and HDR. Ideal for FPV, navigation, and robotics on Raspberry Pi.

12.3 MP
Resolution
GS
Shutter
NIR
Enhanced
View module Buy on Mouser
FSM:GO
IMX678C
8.3 MP - 4K STARVIS 2

FSM:GO IMX678C

8.3 MP STARVIS 2 sensor with 4K resolution, NIR sensitivity, and excellent low-light performance on Raspberry Pi 5 and CM5.

8.3 MP
Resolution
4K
Video
NIR
Sensitivity
View module Buy on Mouser

All FSM:GO modules include RPi driver resources via github.com/framosimaging/framos-rpi-drivers

Browse all FSM:GO modules

Build Your Raspberry Pi Vision System Faster

Connect FSM:GO camera modules to Raspberry Pi 5 or Compute Module 5 with validated drivers, libcamera support, and a 22-pin adapter - a complete, cost-effective path to professional embedded vision.

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