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visionairy®
Target Recognition
VISIONAIRY® Target Recognition delivers high-performance object re-identification (Re-ID) for defense, surveillance, and mobility missions. It enables multi-camera tracking and reliable target matching across shifting perspectives, even in dynamic, real-world conditions.
Why Target Recognition?
Traditional camera systems lose track of objects when perspectives change or when targets exit and re-enter the field of view. VISIONAIRY® Target Recognition solves this by enabling seamless object re-identification across multiple sensors, maintaining continuous awareness in complex environments.
It provides fast, real-time target recognition across air, land, and sea domains—even in GPS-denied or communication-challenged conditions. Whether for advanced surveillance, mission analytics, or multi-asset tracking, VISIONAIRY® Target Recognition ensures persistent target visibility where it matters most.
Seamless Multi-Camera Tracking
High Accuracy in Dynamic Environments
Real-Time, Mission-Ready Performance
See how it works
Benefits
Lightweight and Efficient
Optimized to run on small, low-power devices without sacrificing accuracy.
Seamless integration
Compatible with diverse camera sensors, edge devices, and multi-domain platforms.
Realtime Performance
Delivers instant object re-identification for live, mission-critical operations.
Features
VISIONAIRY® Target Recognition combines optimized AI models, flexible deployment, and multi-sensor compatibility to enable reliable, real-time tracking across platforms.
High Accuracy in Challenging Conditions - Robust against changing lighting, angles, occlusions, and backgrounds.
Multi-Domain Sensor Support - Works across drones, ground vehicles, maritime platforms, and static surveillance cameras.
Scalable, Real-Time Re-Identification - Enables object tracking across large sensor networks with fast update rates.
Privacy-Aware Technology - Does not rely on facial recognition or personally identifiable information.
Flexible Deployment Options - Supports edge, cloud, and hybrid system architectures.
GPS-Denied Compatibility - Operates effectively without GPS dependency.
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 10 Hz
initialization time
<10 seconds
Operating Range
Unlimited (environment-dependent)
Supported companion hardware
Nvidia Jetson, ModalAI Voxl2 / Mini, Qualcomm RB5, IMX7, IMX8, Raspberry PI
Supported flight controllers
PX4, APX4, Ardupilot
Basis-SW/OS
Linux, Docker required
Interfaces
ROS2
Input - Sensors
Any type of camera (sensor agnostic)
Input - Data
1) Camera's video frames
2) Intrinsic & extrinsic sensor calibration (optional)
Output - Data
Object position in video frame
Minimum
Recommended
RAM
2 GB
4 GB
Storage
20 GB
50 GB
Camera
320 x 240 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