# 3D Tracking When a user wants to recognize a 3D object, there are generally two schemes, which are to perform alignment and conversion through 2D recognition. Or make it through real 3D recognition. However, the cost of 3D recognition projects is relatively high and can only be done through APP. ## 3D algorithm tracking ### AR access method 3D detection and tracking is generally based on 3 modes: CAD recognition tracking, point cloud recognition tracking, SLAM and AI hybrid recognition tracking. ![](/files/-MF4eunPZfq0b1X_iw3s) Please note here that identification and tracking are two different stages, please contact Miren Kiviman for specific details. ![](/files/-MF4f4A8M2jxYzXUSl8Y) ## 2D algorithm tracking ### AR access method WebAR, WeChat link, WeChat applet, APP-AR ### Authoring identification map In the WebAR scene, multiple recognition pictures can be added to the cloud tracking scene. After any recognition picture is successfully recognized, the current scene can be opened. ![](/files/-MF4f_bCuG9zBTQHZtkA) This recognition method requires multiple identification maps to be taken for the scene to be recognized. According to the characteristics of the location, angle changes, day and night changes, and light changes must be taken. Therefore, if it is an outdoor scene, a large number of photos should be taken. ![](/files/-MF4fz-BsJ6vXQJ5ZKaC) ## Scope of application Stone steles, billboards, reliefs, some sculptures, some exhibits This method can only identify and cannot track real-time images. If you need the ability to track, you still have to use APP to make it. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs-en.kivicube.com/manual-old/resources-specification/image-tracking/3d-tracking.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.