Location-Constrained Image Trigger Content Delivery
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Solution Overview
Problem
Conventional scannable codes like QR codes are generic in appearance and limited in customization for aesthetic or marketing purposes, making them inefficient for scalable content distribution systems, as the computational task of matching images to their corresponding content becomes increasingly demanding with more content added.
Innovation Solution
A computer-implemented method that uses image recognition to serve content to consumer devices by limiting the search space based on consumer and content location, allowing freely chosen images as triggers, and utilizing a web mapping service API to associate content with locations, thereby improving search speed and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If freely chosen images are used as triggers instead of standardized QR codes, then customization and aesthetic flexibility are improved, but the computational complexity of matching images to content increases significantly
Solution Approach 1:
The patent segments the content distribution system by geographic location, dividing the global image database into location-specific subsets. When a consumer device queries content, the system only searches for image triggers within the relevant geographic region rather than scanning through all possible images in the database. This segmentation dramatically reduces computational complexity while preserving the ability to use freely chosen customized images as triggers.
Solution Approach 2:
The system performs preliminary actions by pre-associating image triggers with specific geographic locations and content identifiers in a distributed database before runtime. This pre-processing organizes the data structure so that during actual content delivery, the system only needs to query images within predetermined geographic boundaries rather than performing exhaustive searches, thereby reducing real-time computational demands.
2Adaptability or versatility
If the system supports more content items, then content variety and user choice are improved, but the time required to match captured images to corresponding content increases
Solution Approach 1:
The patent applies segmentation by organizing content and image triggers into geographic segments. Instead of maintaining a single large global index that requires searching through all content items, the system divides the search space into location-based segments. This allows the system to support diverse content across multiple locations while reducing matching time by only searching within relevant geographic segments rather than the entire content database.
3Adaptability or versatility
If conventional QR codes are replaced with user-chosen images, then marketing and aesthetic effectiveness are improved, but search accuracy and speed deteriorate due to increased search space
Solution Approach 1:
The patent resolves this contradiction by segmenting the search space geographically. This allows the system to maintain high search accuracy by limiting searches to location-specific image subsets, while simultaneously supporting marketing customization through freely chosen images. The segmentation ensures that even with diverse customized images, the search remains precise because it only compares against relevant local images rather than all possible images in the system.
Data Source
AI summary
A method comprises: obtaining content, a content location search term, and an image trigger; submitting the content location search term to a web mapping service so that a service API searches with the content location search term; receiving content locations corresponding to the content; adding the content, image trigger, and content locations to a distribution database that is searchable by location; receiving from a consumer device a location of the consumer device; searching the database using the location of the consumer device to identify any content having content locations that correspond to the consumer device's location, and obtaining the associated image trigger(s); performing an image recognition process on image data captured by the consumer device to identify the presence of the or each said associated image trigger in the image data; and if the presence of any of the image triggers is detected, serving the content to the consumer device.