Parking Lot User Identification via Appearance Matching
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Solution Overview
Problem
Stores face challenges in determining whether a parking lot user is also using the store, which affects the management and potential discounts or services provided.
Innovation Solution
A parking lot management system that includes first and second determination units to identify parking lot users and determine if they enter the store area based on image analysis, with an output unit to provide relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If image analysis is used to determine whether parking lot users enter the store, then the ability to grasp store usage is improved, but the system complexity increases
Solution Approach 1:
The system divides the monitoring task into two separate determination units: a first determination unit that identifies parking lot users from parking lot images, and a second determination unit that checks whether those users appear in store area images. This segmentation allows each unit to focus on a specific aspect of the problem, reducing overall system complexity while maintaining comprehensive monitoring capability.
Solution Approach 2:
The system uses appearance information (such as facial features or distinctive characteristics) as an intermediary to link the parking lot user identification with store area detection. Instead of directly tracking individuals across different locations, the system uses appearance matching as a mediator to determine whether a parking lot user has entered the store, simplifying the connection between the two monitoring zones.
2Measurement precision
If appearance-based identification is used to track parking lot users in the store area, then the accuracy of user tracking is improved, but the difficulty of detection increases
Solution Approach 1:
The system creates appearance copies or templates of parking lot users based on images captured in the parking lot. These appearance copies are then used to search and match against images in the store area, enabling accurate tracking without requiring real-time complex analysis of every person in the store. The copying approach pre-processes identification data, making subsequent detection simpler and more accurate.
3Productivity
If comprehensive monitoring of parking lot users is implemented, then the management capability is improved, but the loss of time for processing increases
Solution Approach 1:
The system performs preliminary identification of parking lot users and their appearance characteristics before they potentially enter the store. By pre-processing and storing appearance information of parking lot users in advance, the system reduces the computational burden when users enter the store area, allowing for faster matching and decision-making without compromising comprehensive monitoring.
Data Source
AI summary
A parking lot management system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: determine, based on a predetermined condition, whether a person who has been detected from an image in which a parking lot is imaged is a parking lot user who has come in by vehicle; determine, based on an appearance of the person who has been determined to be the parking lot user, and an appearance of a person who has been detected from an image in which a store area is imaged, whether the parking lot user was detected in the store area; and output information about the parking lot user based on a result of the determination regarding whether the parking lot user was detected in the store area.