Car Wash Actuation Control Using Vehicle Feature Recognition
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Solution Overview
Problem
Automated vehicle service facilities face challenges in accurately adjusting control of system actuation components to different vehicle configurations, leading to potential vehicle damage, operational inefficiencies, and reduced customer satisfaction.
Innovation Solution
Implementing an image capture and recognition system to identify vehicle features and license plates, enabling selective deployment of actuation components based on vehicle-specific characteristics, thereby optimizing car wash services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If automated car wash systems use fixed actuation components for all vehicles, then system simplicity is maintained, but vehicle damage risk increases due to inability to accommodate different vehicle configurations
Solution Approach 1:
The car wash system transitions from fixed, static actuation components to dynamic, adjustable components that can be repositioned based on detected vehicle features. The actuation components are configured to be selectively deployable and adjustable in position and orientation to accommodate different vehicle configurations, thereby preventing damage while maintaining operational efficiency.
Solution Approach 2:
The system changes operational parameters of actuation components based on vehicle detection data. The controller adjusts parameters such as component position, deployment timing, and actuation force according to the detected vehicle features, enabling the system to adapt to different vehicle types without increasing overall system complexity.
2Measurement precision
If image capture and recognition systems are implemented to identify vehicle features, then automation accuracy improves, but device complexity increases
Solution Approach 1:
The image capture and recognition system serves multiple functions: identifying vehicle features, determining vehicle type, guiding actuation component deployment, and enabling customized service selection. This multi-functionality justifies the added complexity by consolidating what would otherwise require multiple separate systems.
Solution Approach 2:
The system automatically captures images, processes vehicle feature data, and makes deployment decisions without human intervention. The automated decision-making process reduces the need for complex manual control interfaces and monitoring systems, balancing the added complexity of image recognition with simplified operational procedures.
3Loss of energy
If actuation components are selectively deployed based on vehicle features, then resource efficiency improves, but control complexity increases
Solution Approach 1:
The system uses feedback from image capture devices and vehicle feature detection to dynamically control actuation component deployment. The controller receives real-time data about vehicle features and adjusts component deployment accordingly, enabling resource efficiency through selective actuation while managing control complexity through automated feedback loops.
Solution Approach 2:
The system performs preliminary vehicle identification and feature detection before deploying actuation components. This advance knowledge allows the controller to pre-plan the deployment sequence and select only the necessary components, reducing energy consumption and simplifying real-time control decisions.
Data Source
AI summary
A system can include one or more processors, coupled with memory. The one or more processors can receive first images of a vehicle and a license plate of the vehicle and identify, from the first images, license plate information of the vehicle and one more vehicle features of the vehicle and identify a type of car wash service to be performed on the vehicle. The one or more processors can generate a car wash service request and receive one or more second images of the license plate of the vehicle. The one or more processors can identify an identity of the vehicle entering into the car wash system, generate a car wash routine using the car wash service request, and transmit instructions to cause the car wash system to execute the car wash routine by selectively controlling deployment of car wash actuation components based on the vehicle features.