Skip to main content

FSM-IMX662C/TXA Devkit-Quad-V1A – 2.4 MP Quad Sensor Devkit for NVIDIA Developer Kits

Develop high-performance, multi-sensor applications with the FSM-IMX662C/TXA Devkit-Quad-V1A, featuring four Sony IMX662 sensors and full support for NVIDIA platforms.

framos

Product Number: 26538
Category: FRAMOS Sensor Modules

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

Request a Quote for:

FSM-IMX662C/TXA Devkit-Quad-V1A - 2.4 MP Quad Sensor Devkit for NVIDIA Developer Kits
  • 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

Quad sensor development kit for NVIDIA platforms with four Sony IMX662 2.4 MP sensors and C/CS mounts.

The FSM-IMX662C/TXA Devkit-Quad-V1A is a high-performance development kit featuring four Sony IMX662 2.4 MP CMOS Rolling Shutter sensors. Designed for NVIDIA Jetson AGX Orin, AGX Xavier, and TX2 Developer Kits, this quad sensor setup is ideal for applications requiring multi-sensor configurations and synchronized capture.

Each sensor offers a native resolution of 1965 x 1113 pixels with a 1/2.8 inch optical format and can achieve frame rates of up to 97.8 fps. The kit includes FSA-FT26/A-V1A Sensor Adapters, flex cables, and a Processor Adapter (FPA-4.A/TXA-V1A) for easy integration. The sensors come with C/CS mounts (FMA-MNT-CCS/265), allowing flexibility in lens selection.

With four sensors, this devkit enables synchronized image capture for industrial automation, robotics, and other embedded vision applications. It is equipped with all necessary components, including tripod adapters (FMA-MNT-TRP1/4-V1B), making it easy to deploy and test multi-sensor setups.

FSM-IMX662C/TXA Devkit-Quad-V1A – 2.4 MP Quad Sensor Devkit for NVIDIA Developer Kits Highlights

  • Supports up to 97.8 fps
  • Quad sensor setup
  • MIPI CSI-2 interface
  • C/CS mount with FMA-MNT-CCS/265
  • Compatible with NVIDIA AGX Orin, Xavier, and TX2

Targeted Applications

  • Multi-Sensor Embedded Systems
  • Industrial Automation
  • Prototyping For Nvidia Platforms
  • Robotics

Product Specifications

Pixel Size x [µm]Pixel Size x [µm]
2.9
Pixel Size y [µm]Pixel Size y [µm]
2.9
ChromaticsChromatics
Color
Data InterfaceData Interface
MIPI CSI-2
Data Lanes [#]Data Lanes [#]
2.4
Horizontal Resolution [px]Horizontal Resolution [px]
1965
Includes LensIncludes Lens
FLP-AM-027-00-V-00
Integrated LensIntegrated Lens
Yes
Lens MountLens Mount
M12 Mount (FPL-10006624)
ManufacturerManufacturer
FRAMOS
Max. Frame Rate [fps]Max. Frame Rate [fps]
97.8
Max. Operating Humidity [%]Max. Operating Humidity [%]
95
Max. Operating Temperature [°C]Max. Operating Temperature [°C]
85
Max. Storage Temperature [°C]Max. Storage Temperature [°C]
85
Min. Operating Temperature [°C]Min. Operating Temperature [°C]
-30
Min. Storage Temperature [°C]Min. Storage Temperature [°C]
-40
Pixel Depth(s) [bit]Pixel Depth(s) [bit]
12.1
Processor PlatformProcessor Platform
96B: 96Boards CE with MIPI CSI-2, NVN: Jetson Nano, TX2 NX, Xavier NX with MIPI CSI-2, TXA: Jetson AGX Xavier, TX2 with MIPI CSI-2, XX1: Xilinx Devboard (FMC)
Product TypeProduct Type
Framos Modules
Resolution [MP]Resolution [MP]
2.4
Sensor ManufacturerSensor Manufacturer
Sony
Sensor NameSensor Name
IMX662
Sensor TechnologySensor Technology
CMOS
Shutter TypeShutter Type
Rolling Shutter
Starter KitStarter Kit
Development Kit – Dual, Development Kit – Quad, Development Kit – Single
Vertical Resolution [px]Vertical Resolution [px]
1113

Resources & Documentation

Available Files & Links

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