Email Parsing Server for Vehicle Navigation Data Integration
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Solution Overview
Problem
Current vehicle communication systems require custom interfaces for each service provider to share navigation information, which is time-consuming and costly, and lack efficient methods to parse and utilize data from electronic mail messages for navigation purposes.
Innovation Solution
A server-based system that parses and processes data from electronic mail messages, using machine learning to identify and extract relevant information, such as destination data, without the need for custom interfaces, and communicates this information to vehicle infotainment systems for navigation purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If custom interfaces are implemented for each service provider to share navigation information, then communication between service providers and vehicle systems is enabled, but system complexity and implementation time increase significantly
Solution Approach 1:
The patent implements a universal email-based communication interface that can handle navigation information from multiple different service providers (Google, Apple, MapQuest) through a single standardized mechanism. Instead of creating separate custom interfaces for each provider, the system uses a common email parsing approach that works across all providers, thereby reducing interface complexity while maintaining versatility.
Solution Approach 2:
The system introduces an intermediary email server that mediates between service providers and the vehicle navigation system. The server receives emails containing navigation data from any provider, parses the information using standardized rules, and delivers it to the vehicle system. This intermediary layer eliminates the need for direct custom interfaces between each provider and the vehicle system.
2Reliability
If custom interfaces are developed for each service provider, then accurate data transmission is achieved, but development time and costs increase
Solution Approach 1:
The system performs preliminary parsing and validation of email data using predefined rules and patterns before the data reaches the vehicle system. The email server预先 processes the incoming emails, extracts navigation information using standardized patterns, and validates the data structure. This preliminary action ensures data accuracy is maintained while eliminating the need for time-consuming custom development for each provider.
Solution Approach 2:
The system changes the communication parameter from provider-specific custom protocols to a universal email format. By standardizing the data transmission parameter to use email messages with specific patterns (such as subject lines containing location data), the system maintains reliable data transmission across different providers while significantly reducing development time and costs.
3Reliability
If manual address entry is required in GPS devices, then data security and user control are maintained, but user convenience and safety are reduced
Solution Approach 1:
The system implements self-service by automatically parsing navigation information from incoming emails and making it available to the vehicle's navigation system without requiring manual user entry. The email server automatically extracts destination addresses, route information, and other navigation data from the email content and delivers it to the GPS device. This maintains security through automated validation while greatly improving convenience by eliminating manual typing, especially important when drivers are traveling.
Data Source
AI summary
An information distribution system comprising one or more transceivers in communication with a computing system, the one or more transceivers are also in communication with at least one server. The at least one server configured to receive a communication message. The at least one server further configured to identify an element, in a communication text portion, corresponding to a predefined category based on an element classification model. The at least one server further configured to identify additional information associated with the predefined category and provide the identified information to an application on the computing system. The application on the computing system is pre-specified for utilization of information associated with the predefined category.


