Visual SLAM (vSLAM)

Perception and real-time mapping for mobile robots, drones, and autonomous systems.

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What is vSLAM?

Real-Time Localization

vSLAM allows a robot to locate itself and build a map simultaneously using onboard cameras, without GPS. This is essential for indoor and dynamic environments.

Visual Mapping

Our vSLAM system constructs detailed 3D maps using stereo vision, depth sensing, and LiDAR fusion for accurate spatial awareness.

Camera + IMU Fusion

UnixonAI systems integrate IMU and camera data for stable pose estimation—even under rapid motion, vibration, or occlusion.

Where It Works

Autonomous Navigation

Robots navigate factories, warehouses, and farms with centimeter-level accuracy, avoiding obstacles and following real-time path plans.

AR/VR & Mixed Reality

vSLAM powers immersive experiences by aligning virtual objects with the physical world through real-time mapping and tracking.

Drone Localization

We implement vSLAM on lightweight drones for stable autonomous flight in GPS-denied environments like tunnels, mines, or dense forests.

Build Smarter Vision-Based Systems

UnixonAI enables next-gen localization, mapping, and perception solutions for robotics, automation, and spatial computing.

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