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.

Official GStreamer Plug-in for Basler Cameras

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.

ridgerun

Teledyne - RidgeRun Joint Development

Teledyne E2V is at the forefront of CMOS sensor technology. Their image sensors and subsystems deliver high performance across many...

ridgerun

Optimizing your streaming bandwidth with GstNetBalancer

We show how to optimize your streaming bandwidth using GstNetBalancer, ideal for wireless streaming applications...

Action Recognition for Assembly Lines using Deep Learning

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

MMA Fighter Detection using Deep Learning and NVIDIA Jetson Nano

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.

Motion Vectors Extractor Library - libmotion

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

MISB Codec Library - libmisb

RidgeRun has developed a library designed to encode and decode metadata following the MISB standard: libmisb.

Michael Gruner

ONVIF Camera Reference Design

ONVIF Reference Design is an implementation that turns any Jetson Board into an ONVIF Profile S compatible camera.

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.

Immersive Experience with Spherical Videos

Michael Gruner

Immersive Experience with Spherical Videos

TL;DR RidgeRun is integrating real-time spherical video technology on embedded platforms. From creating accelerated GStreamer plug-ins,...

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