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A 3D localization and mapping module with AI Deep Learning vSLAM technology, providing precise 6DOF positioning with an accuracy of ±5 cm. Equipped with a 180° fisheye stereo camera and inertial navigation, it enables mapping areas exceeding 1,000,000 m², even in challenging lighting conditions. The system supports fusion with external LiDAR, offering 2D map resolution up to 2 cm and a range of up to 40 m. With SDK support (C++, ROS1/ROS2, Python), it is suitable for mobile robotics, industrial automation, and autonomous vehicles. SeeedStudio 100035718
SLAMTEC Aurora S is a next-generation, compact and integrated module with built-in artificial intelligence. The device combines stereo vision, inertial navigation, and proprietary AI Deep Learning vSLAM technology, ensuring precise real-time mapping and localization. Thanks to its high level of integration, it offers a plug-and-play design that does not require additional external systems. The module enables the creation of accurate 3D maps and precise positioning in both indoor and outdoor environments. The system provides 6 degrees of freedom (6DOF), delivering accurate position and orientation data. The AI vSLAM engine enables continuous global relocalization with an accuracy of ±5 cm.

| 1. XT30PW-M power input | 5. Ethernet RJ-45 data port |
| 2. USB Type-C power input | 6. Operation indicator |
| 3. USB 3.1 Gen1 expansion port | 7. Status indicator |
| 4. I/O port | 8. Reset button |
| 9. MicroSD card slot |
Aurora S supports mapping over areas exceeding 1,000,000 m², making it suitable for large industrial and warehouse spaces. The built-in fisheye stereo camera generates dense real-time depth data using an end-to-end deep learning approach. The system operates effectively even in bright lighting conditions and on low-texture surfaces. The module features AI object recognition, supporting 18 outdoor scenes and 80 indoor scenes. With support for external LiDAR, it enables even higher precision 2D mapping. The solution is ideal for applications such as mobile robotics, industrial automation, digital twins, embodied intelligence, and low-speed autonomous vehicles. Users have access to Aurora Remote UI software for scene reconstruction and a comprehensive SDK supporting C++, ROS1/ROS2, and Python, enabling rapid deployment of custom applications.
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13MP AI camera that enables on-device neural network processing and image analysis, supporting AI models after conversion. Equipped with a 4 TOPS RVC2 architecture, with features such as distortion correction, 2D object tracking, and fixed-focus, it is ideal for complex computer vision tasks with fast data transfer via USB-C. Luxonis OAK-1 Lite Fixed-focus
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Advanced robotic vision camera that combines an active stereo camera with a high-resolution color camera to effectively perceive the surroundings in difficult lighting conditions. Featuring 4 TOPS computing power and IR dot projector technology, the camera is perfect for night vision, enabling AI and CV algorithms to be run. PoE connection allows the cameras to communicate with other devices via network protocols. Luxonis OAK-D Pro PoE OV9782
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A 3D localization and mapping module with AI Deep Learning vSLAM technology, providing precise 6DOF positioning with an accuracy of ±5 cm. Equipped with a 180° fisheye stereo camera and inertial navigation, it enables mapping areas exceeding 1,000,000 m², even in challenging lighting conditions. The system supports fusion with external LiDAR, offering 2D map resolution up to 2 cm and a range of up to 40 m. With SDK support (C++, ROS1/ROS2, Python), it is suitable for mobile robotics, industrial automation, and autonomous vehicles. SeeedStudio 100035718