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SPLEENLAB®
Video Stabilization
Spleenlab’s software-based video stabilization reduces shaking—especially in long focal length drone footage—by real-time correction of video frames based on previous frame data.
Why Video Stabilization?
Video shaking is a major challenge for drones, especially in long focal length applications where even small movements cause noticeable distortion. This impacts visual clarity, AI perception, and operator control. Traditional mechanical solutions are often bulky or limited in flexibility.
Spleenlab’s software-based video stabilization solves this with real-time frame correction using data from previous frames. It runs on any camera sensor, offering a lightweight, hardware-independent solution that delivers smooth, reliable video—perfectly suited for dynamic drone operations.
Enhances Perception Systems
Sensor-Agnostic
Optimized for Long Focal Lengths
See how it works
Benefits
Lightweight and Efficient
Runs efficiently on small, low-power hardware
Real-Time Smoothing
Instantly corrects shaky footage for clearer visuals and better AI performance.
Seamless AI Integration
Easily combines with perception pipelines for improved overall system performance.
Features
Spleenlab’s video stabilization ensures smooth, stable visuals across all conditions by leveraging multiple sensor inputs and includes the following features:
Visual Camera Support - Stabilizes high-resolution RGB footage to maintain sharp, reliable imagery for feature tracking and AI inference.
Thermal Imaging Compatibility - Applies stabilization to infrared video streams, enabling steady visuals during night operations or in low-visibility environments.
IMU Integration (optional) - Fuses inertial data for even greater stabilization accuracy, especially in GPS-denied or fast-motion scenarios.
Real-Time Frame Correction - Processes each frame based on previous motion, delivering smooth output without delay.
Sensor-Agnostic Deployment - Works across various camera types without hardware modifications, ideal for flexible drone and embedded applications.
AI-Ready Output - Provides stabilized video streams that improve the accuracy and reliability of perception modules like object detection and tracking.
These performance metrics are for demonstrative purposes only, based on configurations with proven results. Actual performance may vary by setup. Our algorithms are optimized for use with any chip, platform, or sensor. Contact us for details.
Update Rate
Up to 60 Hz
Initialization Time
<1 second
Supported companion hardware
Nvidia Jetson, ModalAI Voxl2 / Mini, Qualcomm RB5, IMX7, IMX8, Raspberry PI
Basis-SW/OS
Linux, Docker required
Interfaces
ROS2
Input - Sensors
Any type of camera (sensor agnostic)
Input - Data
Camera's video frames
Output - Data
Stabilizied video frames
Stabilization vector
Minimum
Recommended
RAM
2 GB
4 GB
Storage
20 GB
50 GB
Camera
640 x 480 px, 10 FPS
1920 x 1080 px, 30 FPS
The information provided reflects recommended hardware specifications based on insights gained from successful customer projects and integrations. These recommendations are not limitations, and actual requirements may vary depending on the specific configuration.
Our algorithms are compatible with any chip, platform, sensor, and individual configuration. Please contact us for further information.
Performance Metrics
Position accuracy
±2.5 cm in typical environments
update rate
Up to 200 Hz
initialization time
<1 second
Maximum Velocity
20 m/s with full accuracy
Operating Range
Unlimited (environment-dependent)
Drift
<0.1% of distance traveled
Resources
Solutions
Customers
Spleenlab GmbH is a highly specialized AI perception software company founded with the vision of redefining safety and artificial intelligence.
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2025
Spleenlab GmbH | All Rights Reserved