Visual Booking System Using Wearable Image Analysis
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Solution Overview
Problem
Traditional travel-related computer systems face challenges in providing efficient and user-friendly booking experiences, especially with the rise of wearable and mobile technologies, as they often require manual input and are not optimized for visual-based interactions.
Innovation Solution
A method and system that utilize visual elements from digital images captured by wearable or mobile devices to identify travel destination locations and suggest travel products, allowing for visual booking operations and travel recommendations, with options for on-demand and continuous modes, and the ability to analyze visual bookmarks for travel offers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional text-based booking interfaces are used, then users can perform manual searches with structured input, but the system does not leverage visual elements from wearable/mobile devices and requires more manual input effort
Solution Approach 1:
The patent replaces manual text input mechanisms with visual capture mechanisms. Users point wearable or mobile devices at destinations, and the system automatically extracts visual elements (landmarks, scenery, etc.) to identify travel opportunities, eliminating the need for manual typing of destination names or categories.
Solution Approach 2:
The patent introduces visual element extraction as an intermediary between the user's visual observation and the booking system. The system captures images, extracts visual features (landmarks, geographical elements), and uses these as intermediaries to automatically determine travel destinations and generate recommendations, bridging the gap between visual perception and structured data input.
2Productivity
If visual analysis is performed continuously on captured images, then travel recommendations can be provided proactively, but processing resources are consumed continuously
Solution Approach 1:
The patent implements periodic visual analysis rather than continuous processing. The system analyzes visual elements at specific intervals or when triggered by user actions (such as capturing an image), rather than continuously processing all captured images, thereby reducing processing resource consumption while maintaining effective recommendation generation.
Solution Approach 2:
The patent performs preliminary visual element extraction and travel opportunity identification in advance, before the user needs booking information. By pre-processing visual data from captured images and pre-identifying potential destinations, the system can provide recommendations more efficiently without requiring intensive real-time processing resources.
3Ease of operation
If the system provides unsolicited travel recommendations, then user engagement increases, but users may be overwhelmed by unwanted information
Solution Approach 1:
The patent incorporates feedback mechanisms that allow users to control the level of recommendations they receive. Users can indicate preferences, mark recommendations as unwanted, or adjust settings to customize the volume and type of unsolicited recommendations, thereby preventing information overload while maintaining engagement benefits.
Solution Approach 2:
The patent applies local quality by tailoring the intensity and type of recommendations to individual user contexts and preferences. Rather than uniformly providing unsolicited recommendations to all users, the system adjusts recommendation density and content based on user profile, historical behavior, and contextual factors, delivering targeted recommendations that engage users without overwhelming them.
Data Source
AI summary
A method, apparatus, and program product implement visual booking operations to search for travel products and/or present travel recommendations associated with travel products to users based upon visual elements in one or more digital images captured by a wearable or mobile device. Visual elements may be extracted and inferred to identify one or more travel destination locations that are geographically remote from a current location of a user, and the identified travel destination locations may be used to search a travel database to identify at least one travel product for travel from a travel origination location to a travel destination location.