Video Map Engine Using Augmented Reality Tags
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Solution Overview
Problem
Existing map engine systems rely on simulated two-dimensional or three-dimensional maps, which cannot provide real-time video or pictures, limiting their ability to present accurate and dynamic geographic information.
Innovation Solution
A video map engine system that uses real-time video as a base map, incorporating an augmented reality processor to generate and manage augmented reality tags at specific locations, allowing for the integration of these tags with real-time video footage, enabling a video map effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If simulated two-dimensional or three-dimensional maps are used as base maps, then the map engine can provide geographic data and rendering functions, but the system cannot return real-time video or pictures to the user
Solution Approach 1:
The patent merges real-time video streams with augmented reality tags to create a video map system. The video stream serves as the base map, and augmented reality tags are overlaid on specific locations within the video, combining traditional mapping functionality with real-time video capabilities to resolve the contradiction between reliability and complexity
Solution Approach 2:
The patent introduces an intermediary processing layer that receives video streams, calculates target locations based on GPS coordinates and camera parameters, and overlays augmented reality tags at the correct positions. This intermediary mechanism enables real-time video capability while managing system complexity through structured processing
2Measurement precision
If augmented reality tags are integrated with real-time video, then dynamic and accurate geographic information can be presented, but the system complexity increases
Solution Approach 1:
The system performs preliminary calculations of target locations based on GPS coordinates and camera parameters before the actual tag overlay. By pre-calculating the correct positions and preparing the augmented reality tags with their corresponding location data, the system achieves high measurement precision while reducing real-time processing complexity
Solution Approach 2:
The patent transforms geographic coordinates (GPS) into video coordinates using camera parameters such as azimuth angle, vertical angle, and zoom factor. This parameter transformation enables accurate positioning of augmented reality tags on the video map, improving measurement precision while managing processing complexity through mathematical transformations
Data Source
AI summary
A video map engine system includes a configuration management client, multiple video equipments, a video access server, an augmented reality processor, and an augmented reality client. The parameters of the video equipments includes azimuth angle P, vertical angle T and zoom factor Z of the video equipment, the augmented reality client is adapted for calculating the location where the augmented reality tag is presented in the real-time video according to the values of P, T, Z and the target location carried by the augmented reality tag, and presenting the augmented reality tag on the corresponding location of the real-time video. Therefore, the real-time video is served as the base map, and the augmented reality tag is presented on the base map, thereby achieving a video map effect.