The SLAM algorithm is the core, fundamental algorithm for AR applications. For all types of space-based AR applications, the performance of the SLAM algorithm is essential to the user experience. Tetras.AI's SLAM algorithm can track the 3D spatial position of a device in real time based on a variety of sensor information from the mobile terminal, and realize accurate spatial positioning of the current device. At the same time, it can perform 3D perception of the surrounding environment (such as point cloud restoration, plane reconstruction, and mesh reconstruction), build a 3D geometric map of the scene, support real-time positioning of the mobile platform and virtual object implantation so that achieve the perfect "virtual-reality fusion" effect. Our SLAM supports a variety of terminals such as mobile phones, AR glasses, and panoramic cameras, mobile operating systems such as Android and iOS, as well as lightweight platforms such as H5. It is industry-leading in terms of terminal and platform adaptation, and solves the pain point of high thresholds for AR applications.

Our self-developed visual-inertial navigation SLAM system can track the 3D spatial positioning and orientation of a device in real time. At the same time, the constructed 3D geometric scene map supports real-time position and orientation tracking and virtual object implantation of the mobile platform to achieve a perfect "virtual-reality fusion" effect.