Freedom251 › AI Video Stabilization Software
Spleenlab Video Stabilization
What Spleenlab Video Stabilization is
Spleenlab Video Stabilization corrects camera shake in real time using information from earlier frames. It accepts video from any camera type and outputs stabilized frames plus a stabilization vector. The product is especially presented for long focal length drone footage and supports visual RGB and thermal infrared streams. Optional IMU integration combines inertial data with video to improve accuracy during fast motion or when GPS is unavailable. Stabilized streams are intended for perception modules such as object detection and tracking and can connect with perception pipelines through ROS2. The product page lists updates up to 60 Hz and initialization under one second, while noting that results vary by setup. It runs locally on Linux with Docker required. Listed companion hardware includes Nvidia Jetson, ModalAI Voxl2 or Mini, Qualcomm RB5, IMX7, IMX8, and Raspberry PI. Minimum resources are 2 GB RAM and 20 GB storage; recommended figures are 4 GB and 50 GB. Pricing is available on request.
Who it suits
It is intended for drone operations and related ADAS, industrial, agriculture, cargo, logistics, and defense applications. Teams using Linux, Docker, ROS2, and supported hardware can evaluate its fit.
What it does well
- Real-time frame stabilization
- Supports RGB and thermal infrared video
- Optional IMU fusion
- ROS2 interface for perception pipelines
- Runs locally on Linux
What to know first
- Pricing requires contacting Spleenlab
- Docker is required
- Hardware requirements vary by configuration
- Performance figures are demonstrative
Verdict
Spleenlab Video Stabilization targets autonomous and drone video pipelines, with optional inertial data and ROS2 integration. Contact the maker to confirm configuration, hardware, and actual performance requirements.
Facts from Spleenlab Video Stabilization's own pages
- AI output
- The product provides stabilized video streams intended to improve perception modules such as object detection and tracking. · spleenlab.ai, 11 Oct 2026
- Camera support
- The product supports visual RGB cameras and thermal infrared video streams. · spleenlab.ai, 11 Oct 2026
- Company security
- Spleenlab's website privacy policy says it implements technical and organizational measures to protect personal data. · spleenlab.ai, 11 Oct 2026
- Company security context
- Spleenlab describes itself as developing reliable, safety-driven software for complex autonomous mobility environments. · spleenlab.ai, 11 Oct 2026
- Founded
- 2018 · spleenlab.ai, 28 Sept 2026
- Getting started
- The product page directs prospective customers to contact Spleenlab to learn more. · spleenlab.ai, 11 Oct 2026
- Hardware
- Listed supported companion hardware includes Nvidia Jetson, ModalAI Voxl2 / Mini, Qualcomm RB5, IMX7, IMX8, and Raspberry PI. · spleenlab.ai, 11 Oct 2026
- Headquarters
- Saalburg-Ebersdorf, Thuringia, Germany · spleenlab.ai, 28 Sept 2026
- IMU
- Optional IMU integration fuses inertial data to improve stabilization accuracy, especially in GPS-denied or fast-motion scenarios. · spleenlab.ai, 11 Oct 2026
- Inputs and outputs
- Inputs are camera video frames from any camera type; outputs are stabilized video frames and a stabilization vector. · spleenlab.ai, 11 Oct 2026
- Integration
- The listed interface is ROS2, and the product page says the software combines with perception pipelines. · spleenlab.ai, 11 Oct 2026
- Intended users
- The product is presented for drone operations and related industries including ADAS & AD, industrial, agriculture, cargo & logistics, and defense. · spleenlab.ai, 11 Oct 2026
- Interface
- The product page lists ROS2 as its interface. · spleenlab.ai, 11 Oct 2026
- Limits
- The listed hardware specifications are recommendations based on customer projects and integrations; the maker says actual requirements may vary by configuration. · spleenlab.ai, 11 Oct 2026
- Long focal lengths
- Spleenlab says the software is especially suited to long focal length drone footage. · spleenlab.ai, 11 Oct 2026
- Performance
- The product page lists an update rate of up to 60 Hz and an initialization time under one second. · spleenlab.ai, 11 Oct 2026
- Performance caveat
- Spleenlab says the listed performance metrics are demonstrative, based on configurations with proven results, and may vary by setup. · spleenlab.ai, 11 Oct 2026
- Privacy
- Spleenlab's website privacy policy says it is governed by GDPR, BDSG, and TTDSG and describes technical and organizational measures to protect website data. · spleenlab.ai, 11 Oct 2026
- Purpose
- The software stabilizes shaking video by correcting frames in real time using data from previous frames. · spleenlab.ai, 11 Oct 2026
- Resource guidance
- The page recommends 4 GB RAM and 50 GB storage, with minimum figures of 2 GB RAM and 20 GB storage. · spleenlab.ai, 11 Oct 2026
- Resource recommendations
- The page lists minimum and recommended RAM of 2 GB and 4 GB, storage of 20 GB and 50 GB, and camera resolutions and frame rates of 640 × 480 at 10 FPS and 1920 × 1080 at 30 FPS. · spleenlab.ai, 11 Oct 2026
- Runtime requirements
- The listed basis software and operating system are Linux with Docker required. · spleenlab.ai, 11 Oct 2026
- Software requirements
- The page lists Linux as the basis software/OS and says Docker is required. · spleenlab.ai, 11 Oct 2026
- Support
- The maker invites prospective customers to contact its team to discuss the product and its configuration. · spleenlab.ai, 11 Oct 2026
Where Spleenlab Video Stabilization stands on Freedom251
- AI Video Stabilization Software#33 of 33