Real-Time Video Stabilization Library

Real-Time Video Stabilization Library – IMU-Based EIS for Embedded, Desktop, and Edge Systems The RidgeRun Real-Time Video Stabilization Library is RidgeRun’s most advanced solution for real-time Electronic Image Stabilization (EIS). Designed for embedded systems, drones, robotics, and smart surveillance devices, the library uses accelerometer and gyroscope data from an Inertial Measurement Unit (IMU) in combination with cutting-edge video stabilization algorithms to correct unwanted motion in live or recorded video. Written in C++ and built for performance and portability, this library supports hardware acceleration via SIMD, OpenCL, and CUDA, making it suitable for everything from low-power embedded boards to high-performance workstations. Key Capabilities: Real-Time & Offline StabilizationApply live corrections to video during streaming, or process stored footage post-capture. IMU Sensor Fusion SupportLeverages accelerometers and gyroscopes for frame-level motion correction. Hardware AccelerationChoose from: CPU-based OpenCV for general-purpose processing GPU-based OpenCL for GPU-based hardware acceleration. NVIDIA CUDA for Jetson and discrete GPU optimization GStreamer-CompatibleEasily insert stabilization into multimedia pipelines with example gst integration. Cross-Platform SupportRuns on embedded systems, PCs, and servers, enabling wide deployment flexibility. Production-ReadyModular, extensible, and built for robust deployment in industrial and commercial systems. Example Use Case: A surveillance drone based on Qualcomm RB5 streams aerial video from an onboard fisheye camera. As it flies through strong wind gusts, RidgeRun’s stabilization library continuously applies corrections using IMU data—producing clear, stable video for real-time operator feedback and post-flight video review. The GPU-accelerated execution ensures the system remains responsive and lightweight. What’s Included: RidgeRun’s Real-Time Video Stabilization C++ Library API documentation and integration guides GStreamer pipeline examples IMU integration support (sensor input processing) Optional 11-hour Embedded Software Support package Supported Platforms: NVIDIA Jetson (Nano, TX2, Xavier NX, AGX Orin) Qualcomm RB5, RB6, C8550 x86-64 Linux PCs and servers NXP i.MX8 Any Linux-based platform with OpenCV, OpenCL, or CUDA support Why RidgeRun? With over 19 years of embedded software consulting experience, RidgeRun delivers performance-driven video processing tools tailored for real-time vision systems, embedded AI, and multimedia pipelines. This library is built to provide smooth, stabilized video in any application where camera motion is a challenge—from the air, on the ground, or on the move. Learn more in our developer wiki