SAVANT

I started to apply computer vision tech in 2004 and have watched this field evolve for 20 years. As of 2025, we have built dozens of hands-on computer vision applications. Over time, they grew into the SAVANT framework, now open source.

In this article, I will cover the current and legacy tech stacks for computer vision applications. I hope this helps beginner developers make their first steps and choose their tech wisely, so they can reach their goals and stay scalable, well-performing, and up to date for at least a few years.

My name is Ivan Kudriavtsev, and I am the founder of the Savant Framework, the tech behind dozens of computer vision applications built on NVIDIA hardware. Now let’s dive into the topic!

Continue reading Choosing the technology for a computer vision product in 2025 (Part 1)

The Savant ecosystem, known for its high-performance real-time video analytics platform, has just expanded with the release of Router, a new microservice designed to simplify and optimize the routing of video streams across complex computer vision pipelines and auxiliary services.

Continue reading Introducing Router: A New Savant Service for Smarter Video Stream Routing

We’re excited to announce the official release of Retina RTSP Service, a new addition to the Savant platform!

Retina RTSP Service enables seamless integration of real-time video streaming into your Savant-powered AI video pipelines. With Retina RTSP, you can easily ingest RTSP streams, connect them to your Savant services, and build complex computer vision solutions with minimal effort — all while maintaining low latency and high performance.

Continue reading New Release Announcement: Retina RTSP Service Now Available!

After eight months of development, we proudly present you with Savant 0.5.1. The new Savant is based on DeepStream 7.0 (Savant 0.4 is based on DeepStream 6.4) and includes new samples (34 ready-to-use real-world samples), enhancements, and bug fixes.

We recommend using Savant 0.5.x for the production environment and new projects. Version 0.4.x becomes legacy and will not get updates except for critical bug fixes.

Continue reading Savant 0.5.1: DeepStream 7.0 and new features

We often see people starting their Nvidia Jetson-based projects with RTSP cameras without a real need for them. In this article, we explain the advantages of USB/CSI cameras for projects working on Nvidia Jetson Orin hardware.

Continue reading USB/CSI-2 VS RTSP Cam For The Nvidia Jetson Project

Cameras play the most important role in computer vision projects. Often, the quality of the picture captured by a camera influences way more than the sophistication of the computer vision models used in the solution. The truth is that without a proper camera, implementing a state-of-the-art solution matching business needs is often impossible. For example, facial and optical character recognition applications require high-quality, expensive cameras to deliver a pixel-perfect image to the system. Often, computer vision engineers and product sponsors/owners do not understand the characteristics and meet the situation when the solution is not even possible in the wild.

Continue reading Choosing A Camera For Computer Vision Wise: Resolution, Image Quality, Lens and Software

We released a minor update to Savant 0.4.x, including a bug fix found by a user. The bug concerns JSON/image/video sink adapters. The partial fix was implemented in 0.4.7.

The new release is available by the link.

Full Changelog: v0.4.7…v0.4.8

Platform: DeepStream 6.4
JetPack (Jetson): 6.0

Docs: https://docs.savant-ai.io/v0.4.8/

dGPU Images:

docker pull ghcr.io/insight-platform/savant-deepstream:0.4.8-6.4
docker pull ghcr.io/insight-platform/savant-adapters-deepstream:0.4.8-6.4
docker pull ghcr.io/insight-platform/savant-adapters-gstreamer:0.4.8
docker pull ghcr.io/insight-platform/savant-adapters-py:0.4.8
docker pull ghcr.io/insight-platform/savant-deepstream-extra:0.4.8-6.4

Jetson Images:

docker pull ghcr.io/insight-platform/savant-deepstream-l4t:0.4.8-6.4
docker pull ghcr.io/insight-platform/savant-adapters-deepstream-l4t:0.4.8-6.4
docker pull ghcr.io/insight-platform/savant-adapters-gstreamer-l4t:0.4.8
docker pull ghcr.io/insight-platform/savant-adapters-py-l4t:0.4.8
docker pull ghcr.io/insight-platform/savant-deepstream-l4t-extra:0.4.8-6.4

We released a minor update to Savant 0.4.x, including a bug fix found by a user. The bug concerns JSON/image/video sink adapters.

The new release is available by the link.

Savant 0.4.1 continues 0.4.x release cycle, introducing several new features, multiple bug fixes, and sample updates. It is built on DeepStream 6.4 / JetPack 6.0 and widely tested on Jetson Orin Nano, Orin NX, Turing, Ampere, and Ada Lovelace discrete GPUs. In this release, we focused on testing problems that our customers and community users discovered in 0.4.0. Also, we developed an auxiliary watchdog service for pipeline health monitoring.

Continue reading Savant 0.4.1 is Out. Spotlight: Advanced Video Processing Features

In video streaming applications, reproducing the results is crucial for quality estimation, troubleshooting, and code improvement. Unfortunately, it is not easy because data is streaming. Thus, developers need utilities that allow them to record traffic and replay it at the same rate and timing to simulate the real sources. Sometimes, developers can use video files instead of live sources like RTSP or USB cameras.

Continue reading Dump and Replay Video Traffic with Buffer Adapter