NVIDIA Jetson Computer Vision Engineering and Deployment Experts
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Let’s turn your Jetson vision into a production-ready solution. Reach out at support@ridgerun.com and we’ll review your requirements and propose the fastest path to a working prototype.
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RidgeRun is an official NVIDIA Jetson Partner specializing in high-performance computer vision for embedded and edge AI systems. With deep expertise in CUDA, TensorRT, DeepStream, GStreamer, PVA, and the full Jetson camera driver stack, we build efficient, production-ready solutions that dramatically reduce time-to-market. We help teams move from prototype to deployment on Jetson Orin, Xavier, and Thor.
Why Companies Choose RidgeRun for NVIDIA Jetson Projects?
Choosing the right partner is critical when building high-performance computer vision and EdgeAI systems on NVIDIA Jetson. RidgeRun brings over two decades of embedded engineering experience, deep expertise across the entire Jetson stack, and a proven track record of delivering production-ready vision solutions in robotics, automotive, industrial automation, security, and more.
Certified NVIDIA Jetson Partner
RidgeRun is officially recognized by NVIDIA for our work on Jetson camera drivers, GStreamer components, DeepStream integration, and real-time vision pipelines. This partnership ensures we stay aligned with NVIDIA roadmaps, best practices, and platform updates.
20+ Years of Embedded Vision Experience
Since 2001, RidgeRun has helped companies bring advanced imaging, video, and AI products to market. Our experience spans robotics, drones, smart cameras, industrial inspection, automotive systems, and medical devices.
End-to-End Computer Vision Services on NVIDIA Jetson
RidgeRun provides full-stack Jetson engineering services, from hardware bring-up and camera driver development to model deployment, real-time video pipelines, and optimization.
Camera Drivers & Platform Bring-Up
RidgeRun provides camera driver development and platform bring-up services for the entire NVIDIA Jetson family. We customize and extend the full Jetson camera pipeline, including:
- New camera sensor driver enablement and extending existing drivers for advanced modes, multi-camera capture, external trigger support, and exposure/gain control. We have developed drivers for sensor families including Sony IMX, Omnivision, and OnSemi, you can see the full list: Linux Camera Drivers - Tested Camera Sensors
- Yocto/meta-tegra BSP adjustments, custom patches, and integration with your custom system
- OTA and security support for maintaining and updating the Jetson BSP in production environments
Whether you're integrating a new sensor, enabling advanced features, or building a synchronized multi-camera system, RidgeRun has the expertise to get your Jetson camera pipeline working reliably and fast.
Vision Algorithm Design & Optimization
We design and optimize algorithms tailored for embedded and edge AI workloads:
- Image pre/post-processing
- Denoising, stabilization, and undistortion
- Tracking, detection, segmentation, and analytics
- PVA-accelerated operations
All algorithms are engineered to run efficiently across Jetson’s CPU, GPU, and PVA compute resources. RidgeRun has achieved execution times as low as 0.33 ms on the PVA for algorithms such as lens radial distortion correction on 1920×1080 video. See our PVA Algorithms page for more details.
AI Model Optimization & Deployment
RidgeRun ensures your models run reliably and efficiently on Jetson:
- Model quantization and conversion
- DeepStream integration with custom plugins
- Multi-camera and multi-model pipelines
- ROS2 and real-time robotics interfaces
We deliver deterministic latency, high throughput, and production-ready performance for edge AI systems. Our extensive experience designing and optimizing DeepStream pipelines provides clients with robust, scalable architectures for AI applications. (See our DeepStream Reference Designs page for more details.)
Low-Latency Streaming & GStreamer Expertise
RidgeRun is globally recognized for advanced GStreamer engineering:
- Zero-copy NVMM pipelines
- Multi-camera synchronization
- Real-time streaming, recording, and analytics
- Ultra low-latency pipeline design
We achieved a glass-to-glass latency of 267 ms on Jetson Orin in a multi-camera 360° vision pipeline, generating a stitched surround-view feed from 1920x1080@30fps camera captures and streaming it directly to a Meta Quest headset through RTSP. See our GStreamer Support for Meta Quest for full details.
GStreamer Experts & Creators of Widely Used Plugins
RidgeRun engineers have built and maintain key components such as GstCUDA, GstInterpipe, GstD, and other tools used globally in high-performance Jetson vision systems. Our GStreamer expertise is one of the strongest in the industry.
Proven Results in Real Deployments
We’ve delivered production-ready Jetson solutions across multi-camera 360° perception, stabilization, synchronization, redaction, defect detection, and large-scale DeepStream analytics.
Flexible Engagement Models
Choose hourly consulting, monthly subscriptions, or full dedicated engineering teams—each designed to reduce risk and accelerate your timeline.
Trusted by Robotics, Automotive, and Industrial Leaders
Companies across mission-critical industries rely on RidgeRun for stable, high-performance Jetson vision solutions that work reliably in the field.
Our Jetson Computer Vision Solutions
RidgeRun is recognized as a top NVIDIA Jetson partner for embedded computer vision engineering. We’ve built solutions involving TensorRT, DeepStream, GStreamer, CUDA, PVA, and custom camera drivers across Orin, Xavier, and Thor platforms. The examples below highlight our real-world Jetson solutions—including multi-camera 360° vision, video stabilization, advanced analytics, and high-performance AI pipelines. Here are some examples of our computer vision solutions for Jetson:
360-Vision Systems
Many robotics, automotive, and industrial-safety products built on NVIDIA Jetson rely on 360° vision capabilities for reliable situational awareness. RidgeRun provides industry-proven software and engineering services for real-time, low-latency 360° vision — including multi-camera image stitching, bird’s-eye (top-down) perception, lens undistortion, and spherical PTZ video processing — all fully optimized for the entire Jetson family. The image below shows one of our bird’s-eye view results running in a real-world environment. Our 360-Vision systems can achieve real-time processing for 1920x1080@30 fps camera streams, with latencies below the 500 ms.
Video Stabilization
Real-world Jetson systems often experience vibration, sudden movement, or platform instability that can degrade image quality and reduce the accuracy of downstream perception algorithms. RidgeRun provides real-time video stabilization fully optimized for NVIDIA Jetson — delivering smooth, high-quality video streams that remain reliable even in the most demanding environments.
The example below illustrates RidgeRun’s real-time, software-based stabilization running on the Jetson platform, correcting vibration and motion to deliver smooth, high-quality video in challenging environments. We have achieved stabilization processing times as low as 5.65 ms for 4K videos on Orin AGX.
Software-Based Camera Synchronization
Multi-camera Jetson systems rely on precise synchronization to ensure consistent timestamps, accurate perception, and reliable downstream analytics. RidgeRun provides software-based camera stream synchronization solutions to align multi-camera frames based on timestamp powered by our GStreamer Buffer Synchronization technology and fully optimized for NVIDIA Jetson.
The example below demonstrates RidgeRun’s software-based video synchronization on NVIDIA Jetson, aligning multiple video streams in real time using our GStreamer Buffer Synchronization technology.
Our Jetson EdgeAI Expertise
RidgeRun brings deep expertise in deploying advanced AI workloads on NVIDIA Jetson—from custom TensorRT-optimized models to full DeepStream reference designs. We build fast, reliable, production-ready EdgeAI pipelines for detection, tracking, redaction, analytics, and more, ensuring consistent performance on Jetson Orin, Xavier, and Thor. Below are real examples of our solutions running on Jetson hardware.
Detection & Redaction
RidgeRun develops real-time object detection and redaction pipelines tailored for NVIDIA Jetson. Using TensorRT-optimized models, DeepStream integration, and custom GStreamer pre/post-processing, our redaction solutions reliably blur or mask sensitive content at the edge — ensuring privacy compliance without sacrificing performance. Below is an example of our redaction pipeline running directly on Jetson.
DeepStream Reference Design
RidgeRun’s DeepStream reference design demonstrates our ability to architect high-performance AI pipelines on Jetson, combining optimized TensorRT inference, NVMM zero-copy memory handling, and DeepStream’s nvinfer/nvtracker plugins. This framework gives teams a solid, extensible base for multi-camera analytics, object tracking, and complex on-device processing. Below is a real DeepStream deployment running on Jetson.
How we work
The RidgeRun engineering team can support you at every phase of your product development cycle. To match different project sizes and timelines, we offer flexible engagement models so you get exactly the level of help you need.
Our Flexible Service Models for Embedded Engineering:
Hourly Engineering Contract
For focused, well-defined efforts, RidgeRun offers Professional Support Hours. In this model, our engineers work as an extension of your internal team: you define the requirements, control the task list, and set priorities—and you can change them at any time.
Monthly Subscription
For ongoing work on a single project or product line, you can hire RidgeRun at a flat monthly rate (up to 8 hours per day, 40 hours per week). This includes fast interaction with the engineers assigned to your project, weekly 45-minute progress calls, and direct access to RidgeRun’s embedded and Jetson expertise.
Dedicated Engineering Services Team
For long-term, multi-project engagements or sustained product support, RidgeRun can provide a dedicated engineering team. We help you staff full-time embedded engineers focused on your business, while you retain overall project management and product ownership.
Getting started is simple:
Email us at support@ridgerun.com with a brief description of your project. We’ll review your requirements and provide a free, no-obligation estimate and engagement proposal.
FAQ
1. What computer vision services does RidgeRun provide for NVIDIA Jetson?
RidgeRun specializes in software-only computer vision engineering for Jetson, including camera drivers, CUDA, GStreamer pipelines, DeepStream AI applications, model optimization with TensorRT, multi-camera synchronization, 360° vision, image stabilization, and full EdgeAI deployments.
2. Can RidgeRun develop or customize camera drivers for my Jetson-based system?
Yes. We have extensive experience with several sensors including Sony IMX, Omnivision, and OnSemi (see the full list). We handle bring-up, integration, external triggering, and support for advanced imaging modes.
3. Does RidgeRun support multi-camera computer vision systems?
Absolutely. We build multi-camera pipelines for robotics, automotive, and industrial systems, including:
- 360° vision
- Bird’s-eye view (top-down perspective)
- Image stitching
- Spherical video and PTZ processing
- Multi-stream synchronization and alignment
4. Can RidgeRun optimize my Jetson vision pipeline for low latency?
Yes. We specialize in real-time, low-latency pipelines using NVMM zero-copy paths, CUDA preprocessing, DeepStream components, and optimized GStreamer elements.
5. Does RidgeRun build DeepStream pipelines for computer vision?
Yes. We design and implement DeepStream pipelines for detection, tracking, analytics, redaction, and multi-camera systems. We also develop custom DeepStream plugins for specialized pre/post-processing.
6. Can RidgeRun help deploy AI models (CV models) on Jetson?
Yes. We handle:
- Model quantization/conversion
- GPU/PVA hybrid pipelines
- GStreamer and DeepStream integration
- Multi-stream inference at the edge
We focus on achieving reliable, deterministic performance for real-time CV applications.
7. Does RidgeRun use NVIDIA PVA for computer vision tasks?
Yes. We integrate PVA acceleration for:
- Optical flow
- Feature tracking
- Stereo preprocessing
- Image filtering
- Low-power and deterministic CV tasks
PVA often delivers significant performance gains for classical vision workloads.
8. Can RidgeRun help if my camera pipeline has synchronization issues?
Yes. We offer software-based camera synchronization using our GStreamer Buffer Synchronization solution. We align frames based on timestamps, and ensure coherent multi-stream vision pipelines for stitching, stereo, or analytics.
9. Do you offer video stabilization for Jetson?
Yes. RidgeRun provides real-time video stabilization using GPU-acceleration on Jetson.
10. Do you sell vision hardware or only software/engineering services?
We are strictly a software and embedded engineering services company. We do not sell cameras or Jetson hardware. We ensure your existing hardware performs at the highest level.
11. Can RidgeRun support long-term vision-based products?
Yes. We help teams transition from prototype to production, including BSP integration, optimization for field conditions, OTA strategies, and ongoing maintenance for deployed vision systems.
For direct inquiries, please refer to the contact information available on our Contact page. Alternatively, you may complete and submit the form provided at the same link. We will respond to your request at our earliest opportunity.
Links to RidgeRun Resources and RidgeRun Artificial Intelligence Solutions can be found in the footer below.
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