John Lin, CEO

Xvisio’s eXLAM combines vSLAM algorithms with a stereo camera to capture more spatial information and simultaneously recognize the environment better than the traditional LiDAR. The firm combines other technologies with its solutions to increase the reliability of the vSLAM system. Currently, Xvisio offers dual product configurations including eXSLAM-45 and eXSLAM-80—where 45 and 80 refer to the distance between two cameras, also known as ‘baseline’—catering to the needs of various industries. However, the quality of the visibility of 3D constructions is directly proportional to the baseline of the camera; higher the baseline, better the visibility.

Moreover, Xvisio has introduced a state-of-the-art 6DoF tracking, and multi-camera integration platform, Project Endeavor, which integrates multiple sensors and functionalities on the edge for Augmented and Virtual reality head mounted devices (AR/VR HMD) and glasses. The platform equips a user with the capability to do high-speed positional tracking, capture video alongside gesture interaction, and 3D construction. Leveraging the existing stereo camera based vSLAM 6DoF tracking solution on the edge, the platform integrates an RGB camera, depth camera, and other sensing units alongside supporting the necessary sensing and interaction functions for AR/MR HMD/glass over a single USB3 link. Similarly the firm offers an solution for robotics and AGV , Platform Explorer, that integrates the vSLAM with low cost range detection capability featured with navigation , route planning and collision avoidance ability. Both platforms will have great value for manufacturing industry.

In a recent success story, one of Xvisio’s clients who used vSLAM technology embedded with a Qualcomm solution mentioned that it was heavy and expensive to manage. The client approached Xvisio with a request to build a solution that weighs less than 100 gram and consumes no more than 5 Watts respectively. Xvisio offered the client their state-of-the-art eXLAM solution on the glass that barely consumed 3 Watts.

Xvisio is working to eliminate the limitations of vSLAM technology including its inability to work under extremely low-light conditions. The firm envisions leveraging artificial intelligence and machine learning into their solutions to augment object detection and recognition and add more sensors to enhance the reliability. Since the firm’s solutions cost less than that of a LiDAR, numerous companies including automated guidance vehicle and other industrial robots manufacturers are showing deep interest in Xvisio’s solutions.