Please ask the company to focus on introducing the chips developed and produced independently, thank you.

Occipital-UW: Hello! The company's self-developed depth engine chip has a solidified depth engine algorithm inside, which can perform real-time depth calculation to output 3D data after receiving the spatial encoding information of the photosensitive chip. Compared with the traditional general-purpose processor calling the algorithm for depth calculation, the depth engine chip has faster computing efficiency and more accurate computing power, which is the core of realizing the 3D vision sensor from the laboratory to mass production and productization. In the face of the demand for 3D vision edge computing in mobile terminals, the Internet of Things and other fields, the company solidifies large-scale neural networks, 3D depth calculations, and key algorithms into a single SoC to realize AIoT computing chips with both neural network acceleration and 3D vision computing power. 3D vision is currently facing a period of rapid iteration in terms of resolution, accuracy, and computing power. In the future, as the resolution and accuracy become higher and higher, and the edge computing power becomes stronger and stronger, the requirements for accelerated iteration of AI vision computing chip technology will continue to highlight, which will accelerate the landing of 3D vision perception technology in the application field. Thank you for your attention and support to the company!