Visual Recognition for Vehicle Reservation Identification
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Solution Overview
Problem
Users face difficulties in determining the reservation status of vehicles in vehicle sharing and self-serve rental services, particularly in urban environments, as they lack clear information about availability in public parking lots.
Innovation Solution
A method and system utilizing a mobile computing device with a camera and visual recognition module to identify reservation information on vehicle license plates, including vehicle name, location, reservation cost, and availability, by recording images, performing object recognition, and verifying the results to display reservation information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If permanent signs or markers are used to identify reserved parking spaces, then vehicle location identification is improved, but user ability to determine reservation status deteriorates
Solution Approach 1:
The patent applies the copying principle by using digital images captured by a camera to create a visual copy of the parking space and vehicle information. Instead of relying on permanent physical signs, the system captures images that contain reservation status information and processes them digitally to display relevant information to users, thereby transferring information from physical to digital domain.
Solution Approach 2:
The patent introduces an intermediary processing system that includes a controller and display device. This intermediary takes the raw visual information from captured images, processes it through image processing algorithms, and presents the extracted reservation status information to users in a comprehensible format, bridging the gap between physical parking spaces and user information needs.
2Loss of information
If visual recognition technology is implemented to identify reservation information, then information availability is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by using a mobile computing device that performs multiple functions: capturing images with its camera, processing images through visual recognition algorithms, storing data, and displaying information. This multi-functional approach eliminates the need for separate dedicated hardware systems for each function, thereby reducing overall system complexity while maintaining information availability.
Solution Approach 2:
The system applies self-service by enabling the mobile device to autonomously capture images, process them through integrated visual recognition software, extract reservation information, and display results without requiring external processing equipment or manual intervention. The device serves itself by integrating all necessary functions within a single platform.
Data Source
AI summary
A system and method having a number of technological elements, one of which being a controller, which causes improvements to the controller and creates significantly more than the original default controller functionality. The elements collaborating to cause the controller to operate a camera to record images of a visual content; store the recorded images to a memory, the recorded images being in a digital form as digital images; perform a visual recognition module to identify at least one targeted object within at least one digital image; produce the identification results of the visual recognition module; compare the identification results to the vehicle-reservation information; generate reservation information derived from the comparison outcome of the identification results to the vehicle-reservation information; and operate the display to exhibit the reservation information.


