Skip to main content

FFC (40pin), MIPI CSI-2 Interface Adapter

Streamline signal conversion with the FFC 40pin adapter for FSM:GO module testing and prototyping.

Product Number: go008
Category: Interface

Request a quote or product information. Our team can help you select the right configuration.

Request a Quote for:

FFC (40pin), MIPI CSI-2 Interface Adapter
  • Submit Your Details

    Complete the quote request form with your project requirements and contact information.

  • Discuss Your Needs

    Our specialists will reach out for a brief consultation to ensure we tailor the perfect imaging solution for your application.

  • Receive Your Custom Quote

    We’ll provide a detailed quotation and guide you through the next steps, including evaluation kits, pricing, and timelines.

Expert Technical Support
Integration Guidance
Project Lifecycle Support

Product Summary

The FFC (40pin) adapter connects the PixelMate 60-pin interface to a 40-pin FFC connector for flexible testing on FSM:GO modules.

The FFC interface uses an adapter with the PixelMate interface, allowing signal transfer from the native PixelMate 60-pin interface to a 40-pin FFC connector (Molex 5051104091).

Due to the pin reduction from 60 to 40, some signals from the PixelMate layout, such as the second MIPI clock and I2C, are not used in FSM:GO modules.

For quick FSM:GO testing on compatible carrier boards like Nvidia Dev Kits, ConnectTech Carrier boards, or NXP i.MX8MP Dev Kit, use an additional adapter and a 1:1 premade cable like Molex 0150200440 or 0150200446.

FFC (40pin), MIPI CSI-2 Interface Adapter Highlights

  • Supports PixelMate to FFC conversion
  • Compatible with FSM:GO modules
  • Works with Nvidia Dev Kits
  • Includes 40-pin FFC connector

Targeted Applications

  • Embedded Vision Testing
  • Prototyping
  • Carrier Board Integration

Product Specifications


Latest Blog Posts

Our latest blogs

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

View All
Industrial‑Grade Imaging Meets Raspberry Pi 5: FSM:GO Camera Modules

Industrial‑Grade Imaging Meets Raspberry Pi 5: FSM:GO Camera Modules

Check Out the FSM:GO Camera Modules for Raspberry Pi 5 and Compute Module 5 The Raspberry Pi has revolutionized the world of computing with its compact size, affordability, and versatility....

Read more
What Defines Good Image Quality? 

What Defines Good Image Quality? 

Human eye vs. Machine Perception  Image quality definition depends on the application. For the human eye, sharpness, brightness, color accuracy, minimal noise, and low optical distortion define a “good” image....

Read more
Pushing the Limits of Large-Format Imaging

Pushing the Limits of Large-Format Imaging

Sony’s large-format sensor portfolio Sony has developed a broad lineup of large-format CMOS sensors that serve industrial, scientific, and observational applications. The rolling shutter family includes the IMX455 (61 MP),...

Read more
SLVS-EC: The High-Speed Interface for Next-Generation Vision

SLVS-EC: The High-Speed Interface for Next-Generation Vision

Rising Bandwidth Needs  As imaging systems push toward higher resolutions and faster frame rates, traditional interfaces such as MIPI D-PHY and sub-LVDS often cannot keep up with the growing data...

Read more
FRAMOS Sensor Modules for Data-Driven Sports Analytics

FRAMOS Sensor Modules for Data-Driven Sports Analytics

Transforming Sports Analytics with ImagingThe use of image sensors has become increasingly important in sports analytics, revolutionizing the way player performance, team strategies, and game dynamics are understood. Modern sensors...

Read more
De-risking your large format sensor project from the get-go

De-risking your large format sensor project from the get-go

Designing in large-format sensors is challenging: Board design and production processes need to be aligned and tuned in every batch to prevent deformation and unstable optical performance, tuning of multiple...

Read more
The Future of Edge AI Vision: Real-Time Intelligence at the Source

The Future of Edge AI Vision: Real-Time Intelligence at the Source

In 2026, we will experience a turning point in the combination of artificial intelligence and computer vision. The processing of image data “at the edge” is on the rise, adding...

Read more
Image sensors for agriculture: Innovations and Challenges 

Image sensors for agriculture: Innovations and Challenges 

Precision farming in the digital age  The use of image sensors has become increasingly important in agriculture in recent years, particularly in the context of precision farming. This development has...

Read more