Location Image Analysis for Real-Time Establishment Crowd Insights
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Solution Overview
Problem
Current systems lack real-time and comprehensive insight information about establishments, such as wait times, crowd sizes, and customer satisfaction, which are crucial for users before visiting.
Innovation Solution
A method and system that utilizes image analysis to identify establishments through digital images, retrieves transaction data, and provides augmented reality overlays with insight information like wait times, customer ratings, and transaction details on user devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If image analysis is used to identify establishments and provide real-time transaction data, then information completeness and real-time insight are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent employs an intermediary system comprising image analysis software and data processing modules that act as mediators between the user's device and the complex transaction data infrastructure. The image analysis component identifies establishments by analyzing visual features, while separate data retrieval modules fetch transaction information, thereby isolating the user interface from system complexity.
Solution Approach 2:
The system is segmented into distinct functional modules: image capture module, image analysis module for identifying establishments, data retrieval module for obtaining transaction information, and display module for presenting insights. This segmentation allows each component to handle specific tasks independently, managing overall system complexity while providing comprehensive real-time information.
2Reliability
If comprehensive transaction data is retrieved and analyzed, then insight quality is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and caching establishment images and their identifying features, as well as pre-fetching transaction data when available. This allows the image analysis to quickly match captured images against stored references and retrieve relevant transaction data without extensive real-time processing, maintaining high insight quality while reducing processing time.
3Ease of operation
If multiple types of insight information are provided simultaneously, then user decision-making capability is improved, but information overload and display complexity increase
Solution Approach 1:
The display interface applies local quality by presenting different types of insight information with varying prominence based on their relevance and reliability. Key metrics such as wait time and customer satisfaction ratings are displayed with higher visibility, while secondary information is presented in a more condensed format. This selective emphasis helps users make decisions without being overwhelmed by the total volume of information.
Data Source
AI summary
Systems and method for providing information about a location with image analysis are described herein. The method can include: retrieving, from a user's device, location information, receiving a digital image of an location captured by a digital camera connected to the user's device, analyzing the digital image to detect an identification feature, determining an identify of the location based on the location information and the identification feature, identifying a capture time of day at which the digital image was captured, determining a median rate of traffic at the establish at the identified capture time of day, calculating information based on the median rate of traffic at the capture time of day, the information related to how crowded the location is at the captured time of day, and providing, by a display on the user's device, the information.