Mobile Product Recognition via Gesture-Driven Vendor Identification
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Solution Overview
Problem
Mobile computing device users face inefficiencies in identifying products and vendors in real-time, requiring separate queries for product information, vendor identification, and purchase processes.
Innovation Solution
A method and apparatus that utilize sensor data from mobile devices to recognize products and vendors, displaying relevant purchase information and allowing users to submit purchase orders or contact vendors through detected gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually query for product information, vendor identification, and purchase details separately, then they can obtain comprehensive information, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent combines multiple separate queries (product identification, vendor identification, and purchase information retrieval) into a single automated recognition process. The system captures an image of the product, automatically identifies both the product and vendor, retrieves relevant information, and displays it all at once, eliminating the need for users to perform multiple separate searches.
Solution Approach 2:
The system performs preliminary actions by automatically capturing the product image and initiating the recognition process before the user completes all necessary queries. The system proactively identifies the product and vendor, retrieves information, and prepares the display without waiting for the user to manually search for each piece of information separately.
2Productivity
If the system automatically identifies products and vendors using sensor data, then the process becomes faster and more efficient, but the device complexity increases
Solution Approach 1:
The patent implements a multi-functional system where a single image capture and recognition mechanism serves multiple purposes: identifying the product, identifying the vendor, retrieving product information, and preparing purchase details. This universal approach increases productivity by eliminating multiple separate queries while managing complexity through a unified system architecture.
Solution Approach 2:
The system introduces an intermediary recognition process that acts as a mediator between the user's image capture and the final information display. This intermediary layer automatically processes the image data, identifies products and vendors, and retrieves relevant information, thereby increasing speed while containing complexity within a dedicated processing module.
3Loss of time
If the system displays comprehensive product and vendor information automatically, then users gain immediate access to needed information, but the information display complexity increases
Solution Approach 1:
The patent segments the displayed information into distinct categories such as product details, vendor information, and purchase options. By organizing the comprehensive information into structured segments, the system provides immediate access to all needed data while managing display complexity through clear organization and categorization of information elements.
Data Source
AI summary
A method and apparatus for enabling dynamic product and vendor identification and the display of relevant purchase information are described herein. According to embodiments of the invention, a recognition process is executed on sensor data captured via a mobile computing device to identify one or more items, and to identify at least one product associated with the one or more items. Product and vendor information for the at least one product is retrieved and displayed via the mobile computing device. In the event a user gesture is detected in response to displaying the product and vendor information data, processing logic may submit a purchase order for the product (e.g., for an online vendor) or contact the vendor (e.g., for an in-store vendor).