Skip to main content

ProcFG vs InfiniVision: Image Acquisition Architecture Comparison

Gidel provides two advanced FPGA-based image acquisition architectures. In this ProcFG vs InfiniVision comparison, we observe that although both operate on the same Gidel hardware, they target distinct acquisition models.…

Image Acquisition Architecture Overview

Gidel provides two advanced FPGA-based image acquisition architectures. In this ProcFG vs InfiniVision comparison, we observe that although both operate on the same Gidel hardware, they target distinct acquisition models. Specifically, ProcFG optimizes deterministic, per-camera capture, while InfiniVision targets scalable, synchronized multi-camera acquisition.

ProcFG vs InfiniVision – Comparison Table

Key Features
Model ProcFG InfiniVision
System Architecture Gidel ProcFG deterministic image acquisition system grabbing an image Gidel InfiniVision - Dynamic Multi-Camera Vision System (Thumbnail)
Availability Available on all Gidel frame grabber systems Available on all Gidel frame grabber systems
Camera Interfaces
Acquisition Scale Up to ~120 FPS per stream
  • 100+ synchronized cameras
  • >100,000 FPS aggregate throughput
Synchronization Model Independent, per-camera deterministic acquisition Global, hardware-level synchronization across all cameras
Grabbing & Recording Modes Uncompressed image streams
  • Uncompressed image streams
  • Compressed image streams
Frame Size Handling Static frame sizes Dynamic frame sizes and varying incoming formats
ROI Handling Selected ROI grabbing Dynamic ROI handling per camera and per frame
Inline FPGA Processing Optional inline full customized Image Signal Processing (ISP) via ProcVision
Optimization Focus Line-scan and continuous acquisition applications Large-scale, high-density multi-camera systems
Software & Extensibility
  • Dedicated API per camera
  • Built-in image debugging tools
  • Integrated with Gidel Grabber SDK
  • Integrated with Gidel Grabber SDK
  • High-bandwidth PCIe-based host interface

Conclusion: ProcFG vs InfiniVision for FPGA Image Acquisition

Although ProcFG and InfiniVision utilize the same FPGA-based frame grabber hardware, they target fundamentally different system architectures and scaling requirements. Specifically, ProcFG serves as the natural choice for applications demanding deterministic, per-camera acquisition with guaranteed frame integrity. For instance, it excels in line-scan systems, continuous recording, and inspection pipelines where predictability, simplicity, and long-duration stability outweigh system scale.

In contrast, InfiniVision targets the opposite end of the spectrum: large-scale vision systems requiring synchronized acquisition across dozens or hundreds of cameras. Furthermore, it enables extreme aggregate throughput, flexible frame handling, and centralized synchronization. Consequently, this architecture proves ideal for multi-camera arrays, volumetric imaging, and high-density inspection systems.

Ultimately, by offering both architectures within the same hardware and software ecosystem, Gidel empowers system designers to select the exact acquisition model that matches their application according to global Vision Standards. Thus, users achieve their goals without compromising performance, determinism, or future scalability.

Need more information?




    Datasheet

    Block Diagram

    Data Book

    Block Diagram

    Need Help Choosing?

    Our experts can help you find the right product for your specific requirements.

    • Free product consultation
    • Technical specifications review
    • Custom configuration options
    • Volume pricing available

    Or contact us directly:

    sales@gidel.com




      Quote
      Gidel
      Privacy Overview

      This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.