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RidgeRun Software Developer Blog
Learn about new RidgeRun product releases and hot technologies, robotics competitions, industry news, software development tips, tricks, and more. View blog entries by date or by category. Or, subscribe to our newsletter to get the latest updates delivered directly to your inbox.​​
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Luis G. Leon-Vega
Improving Latency on the Holoscan Sensor Bridge with CUDA ISP
We demonstrate that it is possible to reduce the glass to glass latency by almost 40% by optimizing the ISP pipeline with CUDA ISP
Luis G. Leon-Vega
Glass to Glass Assessment of the Holoscan Sensor Bridge on an NVIDIA AGX Orin
Measuring the glass to glass latency of the Holoscan Sensor Bridge and the NVIDIA Jetson AGX Orin interconnected over ethernet
Luis G. Leon-Vega
Bring Smoothness to Your Live Video Content: RidgeRun Video Stabilization Library with IMU Support
RidgeRun Video Stabilization Libary is the novel IMU-aid video stabilization for embedded systems on drones, robotics and surveillance
oscarfallas
Leveraging Low Latency to the Next Level with the Holoscan Sensor Bridge
Reduce sensor capture latency with the Low Latency Holoscan Sensor Bridge
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360 Video with CudaStitching: Expand Your View with Our Improved Solution
Are you looking for 360 video stitching solutions? RidgeRun has worked for years to launch and continuously improve a stitcher capable of...
Luis G. Leon-Vega
Enhance your GStreamer video stream with RidgeRun content overlay solutions
GStreamer video overlay with RidgeRun QtOverlay, HTML Overlay, and Fast Embedded Overlay with hardware acceleration
Michael Gruner
Case Study: Using Libpanorama to Generate Birds Eye View Scenes
In this blog we'll cover the process of creating a Birds Eye View (BEV) scene from a collection of cameras. using RidgeRun's Libpanorama.
Edison Fernandez
Spherical Video: Unveiling RidgeRun CUDA Stitching's 360° Video Capabilities
We are happy to share with you our progress on an exciting update that will enhance your video projects. RidgeRun CUDA Stitcher has now...
Michael Gruner
Accelerating Motion Detection with GPU Processing
RidgeRun's GPU Accelerated Motion Detector provides real-time motion detection without the deep learning bloat.
Luis G. Leon-Vega
Introducing the RidgeRun CUDA ISP Library: Accelerate your Image Processing
CUDA Image Signal Processing (ISP) library: a CUDA-accelerated solution for image preprocessing that offloads to processing to NVIDIA GPUs.
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Adding WebRTC to your GStreamer application
Due to the increment of edge and IoT devices in recent years, opportunities for developers to create new technologies or improve existing...
Michael Gruner
MMA Fighter Detection using Deep Learning and NVIDIA Jetson Nano
RidgeRun ran a research on state-of-the-art algorithms in object detection and trained them for MMA fighters detection in video.
Michael Gruner
NVIDIA DeepStream Reference
RidgeRun is creating a set of Python reference designs to be used as starting points for applications using deep learning in some form.
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Building a Multi-Camera Media Server for AI Processing on the NVIDIA Jetson Platform
A media server provides multimedia all-in-one features, such as video capture, processing, streaming, recording, and, in some cases, the...
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Birds Eye View on NVIDIA Jetson Boards
Generating Birds Eye View images on NVIDIA Jetson Boards
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NVIDIA Jetson TX2-Camera image capture latency measurement techniques.
For better understanding of this latest blog from RidgeRun, please read the RidgeRun blog on Diving deep into NVIDIA Jetson TX2 - Video...
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