Menu Image Analysis for Location-Specific Dietary Safety
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Solution Overview
Problem
Users are often unaware of recommended items, allergen details, and dietary restrictions when viewing menus or listings, leading to potential allergic reactions and unfavorable dietary health effects.
Innovation Solution
A system that uses a computing device to analyze image data of a menu or listing from a user device, determining the location of an entity offering the items and cross-referencing reviews to recommend items based on positive intent, with modifications to the image data to indicate intent indicators and user-specific notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If general menu information is displayed online, then accessibility and convenience are improved, but location-specific and user-specific details are lost
Solution Approach 1:
The system applies local quality by customizing menu information display based on user location and profile. The computing device receives location information from the user device and determines the entity location to display location-specific menu items, allergen details, and dietary restrictions relevant to that specific location, rather than showing generic menu information.
Solution Approach 2:
The system uses feedback by continuously receiving location information from the user device and using it to dynamically update and customize the menu information displayed. The system processes user location data, cross-references it with entity locations, and adjusts the displayed menu content accordingly, creating a feedback loop that personalizes the experience.
2Reliability
If detailed allergen and dietary information is provided for all menu items, then user safety is improved, but information complexity and processing requirements increase
Solution Approach 1:
The system applies preliminary action by pre-processing and organizing allergen and dietary restriction information for all menu items in advance. The computing device maintains a database of menu items with their associated allergen and dietary information, which is then quickly retrieved and filtered based on user location and profile, rather than processing this information in real-time when the user views the menu.
3Measurement precision
If location-specific menu information is provided, then accuracy and relevance are improved, but data processing and analysis requirements increase
Solution Approach 1:
The system pre-organizes menu information by location and user profile characteristics. The computing device maintains structured databases of menu items, allergen information, and dietary restrictions that can be quickly queried and filtered based on user location data, reducing the computational burden during runtime.
Solution Approach 2:
The system extracts only the relevant location-specific and user-specific information from the complete menu database. Rather than processing and displaying all menu information, the computing device filters and extracts only the menu items, allergen details, and dietary restrictions that are relevant to the user's specific location and profile, reducing data processing requirements.
Data Source
AI summary
A computing device (e.g., a server, a cloud-based device, a network device, an item analysis device, etc.) may receive location information indicating a geographic location of a user device and image data captured by the user device of a listing (e.g., a menu, an event ticket, a content source, etc.) for a selectable item. The computing device may determine an entity offering the selectable item based on the location information. An intent indicator for the selectable item may be determined based on the entity and the information for the selectable item. An instruction to the user device may cause modification of the image data to indicate the intent indicator based on the intent indicator satisfying an intent threshold that defines a level at which an intent is classified as a positive intent.