AR Product Identification for Similar Packaging Confusion
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Solution Overview
Problem
Product packaging often fails to clearly define what the product is and its intended use, especially when using small letters, obscure names, or identical packaging for different products, leading to confusion, particularly for those who cannot read or have difficulty distinguishing between similar items.
Innovation Solution
A computer-implemented method using a digital assistant to process image data and user queries, employing context extraction, object recognition, and augmented reality (AR) content generation to provide clear insights about identified objects, distinguishing between similar products by overlaying graphical elements or audible feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If identical packaging is used for different products to maintain consistency and reduce manufacturing costs, then manufacturing precision and cost efficiency are improved, but product distinguishability deteriorates
Solution Approach 1:
The patent introduces an image capture device and digital assistant system as intermediaries between the user and the products. The system captures images of the products, extracts contextual data, and provides augmented reality overlays or audible feedback to help users distinguish between identically packaged products without requiring changes to the packaging itself.
Solution Approach 2:
The patent adds a digital dimension to product identification by using AR overlays and audio feedback. Instead of relying solely on visual differences on the packaging (2D plane), the system provides additional information layers through digital interfaces, allowing users to distinguish products through multiple sensory channels and information dimensions.
2Ease of manufacture
If small letters and obscure names are used on product labels to maintain packaging design, then manufacturing simplicity is improved, but readability and product identification deteriorate
Solution Approach 1:
The patent replaces the mechanical/physical system of large, clear text on packaging with a digital information delivery system. Instead of modifying the physical label to improve readability, the system uses image capture, optical character recognition, and digital display to present product information in an accessible format.
Solution Approach 2:
The system enables users to independently obtain product information by pointing their device at the product. The digital assistant automatically captures the image, processes it, and provides the necessary information without requiring the user to manually read small text or search for product details.
3Loss of information
If text labels are used to distinguish products, then product identification capability is improved, but label durability and readability over time deteriorate due to wear
Solution Approach 1:
The patent creates a digital copy of the product label information through image capture. Instead of relying on the physical durability of the printed text, the system captures an image of the label, processes it digitally, and uses the digital version for identification and information display, making the system immune to physical wear and tear.
Data Source
AI summary
A method includes receiving, from an image capture device in communication with the data processing hardware, image data for an area of interest of a user. The method also includes receiving a query from the user referring to one or more objects detected within the image data and requesting a digital assistant to discern insights associated with the one or more objects referred to by the query. The method also includes processing the query and the image data to: identify, based on context data extracted from the image data, the one or more objects referred to by the query; and determine the insights associated with the identified one or more objects for the digital assistant to discern. The method also includes generating, for output from a user device associated with the user, content indicating the discerned insights associated with the identified one or more objects.