GPU-Accelerated Motion Detector

GPU Accelerated Motion Detector – Real-Time Scene Change Detection Using CUDA RidgeRun’s GPU Accelerated Motion Detector is a high-performance scene change detection solution that leverages CUDA-enabled GPU acceleration to identify motion in real-time video streams. This tool is composed of a C++ libraryand a GStreamer plugin, making it ideal for embedded Linux systems like NVIDIA Jetson, where efficiency, low latency, and fast processing are critical. Unlike object trackers, this solution focuses purely on detecting changes within the scene, making it perfect for surveillance, robotics, and edge AI applications that require event-triggered logic without the computational overhead of full tracking. Key Features: Scene-Based Motion DetectionHighlights areas of video that have changed—does not track objects but detects motion events. GPU-Accelerated via CUDAOptimized for NVIDIA platforms, the detector uses GPU resources to offload processing from the CPU and enable real-time through