Luis G. Leon-Vega
Implementing Deep Learning into FPGAs: A Gentle Introduction to Architectures
Accelerating Deep Learning with FPGAs in a nutshell. Exploring the different architectures and implementations for low-latency inference
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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
Selecting the Proper Device for AI and Deep Learning Inference Acceleration
Select the best hardware device for AI and deep learning inference acceleration
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
Luis G. Leon-Vega
Hardware Acceleration: CPU, GPU or FPGA?
CPU, GPU and FPGA help to perform hardware acceleration. Here, we detail some of the considerations to consider each of them
Luis G. Leon-Vega
What is an FPGA?
FPGAs are versatile and powerful devices and outstand the traditional processing circuits like CPUs and GPUs in latency
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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.
Michael Gruner
Official GStreamer Plug-in for Basler Cameras
RidgeRun is proud to have partnered with Basler to develop the official GStreamer plug-in for Basler cameras.
Michael Gruner
Action Recognition for Assembly Lines using Deep Learning
A research showing the process of automating action detection of an assembly sequence of a hardware part in a real production line
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
Motion Vectors Extractor Library - libmotion
Our motion vectors extractor library is a library designed for the extraction of motion vectors directly from H.264 without a full decode.
Michael Gruner
Video Stabilization for Embedded Systems
A lightweight video stabilization library for embedded systems RidgeRun's Video Stabilization for Embedded Systems is a software library...
Michael Gruner
Announcing New Partnership: Coral from Google!
RidgeRun is thrilled to announce its new partnership with Coral from Google. Coral is a complete toolkit that allows you to build...
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Applications and Algorithms for Computer Vision
Applications for Computer Vision Object Classification Object recognition or classification allows the recognition of one or more...
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Birds Eye View on NVIDIA Jetson Boards
Generating Birds Eye View images on NVIDIA Jetson Boards
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