Automotive User Identification via Image Capture
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Solution Overview
Problem
Current drive-through services require users to manually order and pay for goods, lacking personalization and convenience, as they do not utilize vehicle or user identification for tailored recommendations or streamlined transactions.
Innovation Solution
A system that captures vehicle and user identification information through image data, retrieves associated records, and generates personalized communications or recommendations, enabling automated transactions and improved user experience by presenting tailored offers or menu options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual ordering and payment processes are used in drive-through service, then users can place and receive orders, but user convenience is reduced and transaction speed is slowed
Solution Approach 1:
The system enables self-service by automatically capturing vehicle identification data, retrieving associated user profiles and order history, and presenting personalized menu options without requiring manual customer interaction. The drive-through speaker system delivers customized recommendations based on past orders and preferences, allowing users to receive service autonomously.
Solution Approach 2:
The system performs preliminary actions by pre-fetching user data, order history, and preference information before the customer arrives. When a vehicle is detected, the system has already prepared personalized recommendations and menu options, eliminating the need for real-time data retrieval during the transaction and reducing waiting time.
2Adaptability or versatility
If personalized recommendations are implemented using vehicle identification, then user personalization is improved, but system complexity increases
Solution Approach 1:
The system uses a multi-functional approach where a single vehicle identification capture mechanism serves multiple purposes: identifying the user, retrieving their profile, accessing order history, and triggering personalized recommendations. This universal identification system eliminates the need for separate mechanisms for each function, managing complexity through consolidation.
Solution Approach 2:
The patent introduces a database as an intermediary layer between the vehicle identification capture and the personalized service delivery. The database stores and manages user profiles, order histories, and preferences, acting as a mediator that handles the complexity of data retrieval and processing while presenting simplified personalized results to the user through the drive-through speaker system.
Data Source
AI summary
A system and method for user identification and personalization based on automotive identifiers are described. Image data of a vehicle is received from an image capture device. Vehicle identification information is extracted from the image data. A data record associated with a user is retrieved using the vehicle identification information. A personalized communication for the user is generated based on the retrieved data record. The personalized communication may be transmitted to a device. The personalized communication may comprise a recommendation.