Autonomous Color Selection App for Paint Stores
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Solution Overview
Problem
Consumers face difficulties in selecting paint colors due to the lack of user-friendly connections between color names and actual colors, with overwhelming color displays and insufficient trained staff to assist in the process.
Innovation Solution
An autonomous software application that receives oral queries, converts them into digital signals, and communicates responses, using augmented or virtual reality to guide users to the selected colors on a color display, providing recommendations and synchronizing virtual and physical color spaces for accurate location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If consumers use traditional methods (printed index or software) to locate colors, then they can find color information, but the process is time-consuming and frustrating
Solution Approach 1:
The patent replaces traditional mechanical search methods (printed indexes, manual software navigation) with voice-based speech recognition technology. Consumers can verbally request colors without manually searching through physical or digital catalogs, dramatically reducing search time and effort while maintaining ease of operation.
Solution Approach 2:
The system introduces an autonomous software application as an intermediary between the consumer and the color selection system. This application processes voice queries, retrieves color information, and guides consumers to physical color displays, eliminating the need for consumers to directly navigate complex color catalogs.
2Adaptability or versatility
If color displays contain multiple hundreds of color chips arranged in various hues and saturations, then comprehensive color selection is available, but consumers are overwhelmed and unsure where to begin
Solution Approach 1:
The autonomous application provides real-time feedback to consumers by processing their voice queries and immediately responding with specific color chip locations and recommendations. The system continuously guides consumers through the color selection process, offering directional instructions and color suggestions based on their verbal requests, making the extensive color display manageable.
Solution Approach 2:
The system extracts and highlights only the relevant color information that matches the consumer's voice query, rather than requiring them to search through all hundreds of color chips. The application isolates and presents specific color recommendations, reducing the overwhelming display into focused, actionable options.
3Ease of manufacture
If paint store employees are not trained in color theories, then labor costs are reduced, but consumers cannot receive expert guidance
Solution Approach 1:
The autonomous color selection application enables consumers to independently obtain expert-level color guidance without requiring trained staff. The system performs color theory analysis, provides harmonious color palette recommendations, and guides color selection autonomously, allowing consumers to serve themselves with the quality of assistance previously requiring specialized training.
Solution Approach 2:
The software application acts as an intermediary that provides expert color theory knowledge to consumers, replacing the need for trained employees. The system bridges the gap between consumer needs and expert color knowledge through automated voice processing and color recommendation algorithms.
4Loss of information
If consumers need to look up color identification indicia on printed indexes or software, then they can access color information, but the process is cumbersome and intimidating
Solution Approach 1:
The patent replaces manual information lookup methods (reading printed indexes, navigating software interfaces) with natural voice-based interaction. Consumers can verbally request color information without manually searching through identification systems, making the process intuitive and accessible even for those untrained in color theories.
Data Source
AI summary
An autonomous App for selecting color is disclosed. The App includes (i) receiving an oral query concerning a color from a user, (ii) converting the oral query into a digital signal, (iii) associating the queried color with indicia of said queried color in a color database, and (iv) communicating an oral response to the user based on the queried color. The App resides in a general computing machine, such as a smart phone, a smart speaker or a computer tablet. The App can also guide the user to color merchandises on a color display by the general computing machine capable of augmenting an image of the color display with color information.


