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RidgeRun Software Developer Blog
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Complete Guide for Embedded Vision in Medical and Healthcare
Embedded vision and Edge AI are transforming medical and healthcare systems by enabling real-time imaging, low-latency streaming, patient privacy protection, and smarter medical device workflows directly at the edge.
Dennise Alvarado


How RidgeRun Extends Kernel Support for Jetson Xavier Beyond NVIDIA's Official Lifecycle
Jetson AGX Xavier continues to power products across industrial automation, robotics, medical devices, transportation, defense, and edge AI. Many of these systems are expected to remain operational for years, long after NVIDIA's official support window ends. For organizations with deployed Xavier-based products, replacing hardware is rarely the immediate answer. Existing platforms still require security updates, bug fixes, and ongoing maintenance, but migrating to a newer Jet
Manuel Leiva


Evaluating the Dragonwing IQ-9075 EVK: Industrial-grade Solutions for IoT, Edge AI and Robotics.
As embedded systems and IoT solutions continue to adopt AI-driven capabilities, the demand for powerful and energy-efficient platforms continues to grow.. The Dragonwing IQ-9075 EVK board maximizes the features of the Dragonwing IQ-9075 processor, optimized for industrial IoT, Edge AI, and robotics applications, being able to sustain through demanding workloads and offering a high-performance power efficient computing power, on-device AI with a dedicated NPU, and a camera an
Fabian Muñoz


Getting Started with Qualcomm Dragonwing 9075 EVK for Embedded Multimedia Development
Qualcomm Dragonwing IQ-9075 is an embedded SoC platform designed for demanding edge AI, multimedia, robotics, drone, and industrial vision applications. As part of Qualcomm’s Dragonwing portfolio, it targets industrial, enterprise, and embedded systems that require high-performance processing, power-efficient AI, advanced connectivity, and long-term deployment support. About the board The Dragonwing IQ-9075 platform delivers high-compute, power-efficient AI performance with t
Natalia Gonzalez


Building Flexible Media Applications in Rust with RidgeRun’s GstD Rust API
Discover how RidgeRun’s GstD Rust API enables a configurable Rust media server for managing GStreamer pipelines, live streaming, recording, and snapshots.

ridgerun


Introducing the Rust API for GStreamer Daemon: Build Safer, More Reliable Multimedia Applications
Learn how the new GStreamer Daemon Rust API helps developers build safer, more reliable multimedia applications by controlling GStreamer pipelines from Rust.

ridgerun


How RidgeRun helps bring NVIDIA Jetson-based products to market faster with Yocto
RidgeRun helps teams accelerate NVIDIA Jetson-based products with Yocto Project through reproducible OS images, custom BSP integration, Yocto layers, validation, OTA, Secure Boot, Full Disk Encryption, and CI/CD pipelines. Move faster from prototype to production with expert support.
Carlos Rodriguez


Complete Guide for Embedded Vision in Industrial Automation
RidgeRun helps industrial automation teams integrate embedded vision, Edge AI, real-time video processing, and sensor systems to improve quality inspection, remote monitoring, predictive maintenance, and smarter decision-making on the production floor.**
Dennise Alvarado


NVIDIA Holoscan and the Streaming AI Pipeline Landscape: A Technical Deep Dive
Real-time AI at the edge is reshaping industries from medical devices to broadcast media. NVIDIA’s ecosystem—GStreamer, DeepStream, Holoscan SDK, and Holoscan for Media—offers multiple approaches to building streaming AI pipelines, each with distinct trade-offs in latency, scalability, and architecture. This deep dive clarifies how these frameworks differ and when to use each.
allannavarro1
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