Dynamic Trip Planning with Real-Time Destination Analysis
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Solution Overview
Problem
Current navigation systems lack local information for specific destinations, failing to provide real-time data on conditions within destinations, such as wait times, emotional state of patrons, and product availability, which limits users' ability to optimize their trips based on time, money, and experience.
Innovation Solution
An electronic device that obtains trip objectives and evaluation bases, identifies associations between sites and objectives, and uses sensor data, including image analysis, to determine dynamic destination information, providing suggested routes that consider real-time conditions like wait times, emotional state, and product availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If navigation systems provide basic routing information, then users can obtain direction guidance, but users cannot access real-time local information at destinations such as wait times, emotional state of patrons, and product availability
Solution Approach 1:
The patent introduces intermediary components including image sensors, processors, and a database system that act as mediators between the navigation system and destination locations. These intermediaries capture, process, and store local destination information (such as images of patrons, wait times, product availability) without requiring direct integration with every destination, thus reducing system complexity while improving information availability
Solution Approach 2:
The patent replaces traditional mechanical/manual information gathering methods with automated image processing and computer vision technologies. The system automatically captures images at destinations, processes them through algorithms to extract relevant information (emotional states, wait times, product availability), and integrates this data into the navigation system, eliminating the need for manual information collection and reducing operational complexity
2Adaptability or versatility
If navigation systems use static routing based on predetermined paths, then users can obtain consistent route suggestions, but users cannot optimize trips based on real-time conditions at destinations
Solution Approach 1:
The patent transforms static routing into a dynamic system that continuously adapts to real-time conditions. The navigation system incorporates live data from image sensors and processors that monitor destination conditions (wait times, crowd density, product availability) and automatically adjusts route suggestions accordingly, enabling both adaptability to changing conditions and time optimization by directing users to destinations with favorable real-time status
Solution Approach 2:
The patent implements feedback loops where image data from destinations is continuously captured, processed, and fed back into the routing algorithm. This feedback mechanism allows the system to learn from real-time conditions at destinations and adjust future route suggestions, creating a closed-loop system that improves trip optimization flexibility while reducing time loss through informed decision-making
3Reliability
If navigation systems provide comprehensive real-time data analysis, then users can make informed decisions about trips, but the system requires complex image processing and data analysis capabilities
Solution Approach 1:
The patent segments the complex data processing task into distinct modular components: image capture modules at destinations, separate processing units that analyze specific aspects (emotional states, wait times, product availability), and an integration layer that combines results. This segmentation allows each component to specialize in specific processing tasks, improving decision-making accuracy through comprehensive analysis while managing overall system complexity through modular architecture
Solution Approach 2:
The patent performs preliminary image processing and data extraction at the destination level before transmitting results to the central navigation system. Image sensors and local processors pre-analyze captured images to extract relevant information (such as detecting wait times from queue images or product availability from shelf images), reducing the data volume and processing burden on the central system while maintaining high decision-making accuracy through distributed intelligence
Data Source
AI summary
A method performed by an electronic device is described. The method includes obtaining one or more trip objectives. The method also includes obtaining one or more evaluation bases. The method further includes identifying an association between at least one site and the one or more trip objectives. The method additionally includes obtaining sensor data from the at least one site. The sensor data includes at least image data. The method also includes performing analysis on the image data to determine dynamic destination information corresponding to the at least one site. The method further includes performing trip planning based on the dynamic destination information, the one or more trip objectives, and the one or more evaluation bases. The method additionally includes providing one or more suggested routes based on the trip planning.