CUDA ISP for NVIDIA Jetson

CUDA ISP for NVIDIA Jetson

Regular price
$4,499.00
Sale price
$4,499.00

CUDA ISP (libcudaisp) – GPU-Accelerated Image Signal Processor for NVIDIA Jetson & x86

CUDA ISP (libcudaisp) is a GPU-accelerated Image Signal Processing (ISP) library that brings high-performance, low-latency image enhancement to NVIDIA Jetson and x86 platforms. Perfect for embedded vision, robotics, and AI systems, this solution offloads compute-heavy ISP operations—like demosaicing, white balance, and color correction—onto the GPU, freeing CPU resources for mission-critical tasks.

If your system lacks a hardware ISP, you don't want to use the built-in ISP or is CPU-bound due to real-time vision workloads, libcudaisp gives you an option fully compatible with GStreamer pipelines.


Key Features:

  • CUDA-Accelerated ISP Functions
    Includes GPU-optimized demosaicing (debayering), auto white balance (AWB), and image shifting algorithms.

  • Zero Dependency on Hardware ISP
    Ideal for platforms without built-in ISP (e.g., x86 + discrete GPU), or as a Jetson ISP fallback when more flexibility is needed.

  • Real-Time Performance
    Designed for high-resolution, real-time applications with low latency requirements.

  • GStreamer Integration
    Easily integrates into multimedia pipelines using RidgeRun’s cudadebayer, cudaawb, and cudashift plugins.

  • Modular and Extensible
    Built as a C++ library, making it easy to extend with custom image processing modules.


Use Cases:

  • Embedded AI applications requiring clean, corrected video input

  • Robotics systems needing real-time GPU ISP on the edge

  • Streaming platforms offloading ISP from CPU to GPU

  • Vision systems running on Jetson Xavier NX, Orin, or x86 with CUDA GPUs


Supported Platforms:

  • Jetson Nano, Jetson Xavier NX, Jetson AGX Orin

  • x86-64 Linux with NVIDIA GPU (e.g., for desktop inference or cloud edge)


What You Get:

  • Full access to RidgeRun’s CUDA ISP (libcudaisp).

  • GStreamer plugin support (optional): cudadebayer, cudaawb, cudashift

  • Documentation, sample pipelines, and quick-start guides

  • Optional Embedded Software Support package for integration, tuning, and extensions


Why Choose RidgeRun?

With over 19 years of experience in Embedded Software Consulting, RidgeRun delivers production-quality software for demanding real-time systems. libcudaisp is backed by our world-class engineering team, ensuring your image pipeline meets both performance and quality benchmarks.

Need a complete imaging pipeline, from camera drivers to AI inference? RidgeRun’s subscription-based development model is here to help.

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