Map-Based Visual Search for Trip Destinations Without Text

The patent replaces text-based input mechanisms with image-based visual search. Users capture photos of destinations or landmarks, and the system processes these images to identify locations. This substitution eliminates the need for text typing and language comprehension, directly addressing the usability issues for users with language barriers or literacy problems.

The patent introduces an image processing intermediary between the user and the search system. Instead of direct text input to search engine, the user captures an image which is then processed by computer vision algorithms to extract location information. This intermediary layer translates visual information into searchable data, bridging the gap between users who cannot use text and the search functionality.

The patent segments the search interface into discrete visual nodes representing different locations, landmarks, or points of interest. Each node is a distinct visual element that users can interact with individually. This segmentation simplifies the user interaction model compared to text-based search, while the underlying complexity is managed through structured data organization and efficient rendering algorithms.

The patent uses visual representations (nodes, icons, images) that copy or represent real-world locations and landmarks. Instead of requiring users to understand text labels in foreign languages, the system displays visual copies of the actual destinations, making the interface intuitive and language-independent. This copying approach maintains simplicity while handling the complexity of representing diverse global locations.