Toll Sign Detection via Image Recognition and Driver Alerts
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Solution Overview
Problem
Current vehicles lack an efficient system for automatically detecting toll signs and reporting toll information to drivers, such as cost and lane information, especially when this information is not explicitly provided on the sign.
Innovation Solution
A vehicle system equipped with cameras, a sign recognition unit, and a driver alert system that uses data recognition and image comparison to detect toll signs, determines toll information, and notifies the driver through audible or visual alerts, utilizing GPS, internet connectivity, or stored data to gather missing information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a vehicle is equipped with cameras and sign recognition units to automatically detect toll signs, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The system enables self-service by automatically detecting toll signs, extracting toll information, and notifying drivers without requiring manual intervention. The camera system captures images of toll signs, the recognition unit processes the images to extract toll details, and the notification system alerts the driver, all without driver action required.
Solution Approach 2:
The patent introduces an intermediary processing system between the camera and the driver. The sign recognition unit acts as an intermediary that captures visual information from cameras, processes it to extract toll information, and translates it into actionable notifications for the driver, thereby automating the information extraction process.
2Measurement precision
If the system uses multiple cameras and processing units to detect toll information accurately, then the measurement precision is improved, but the use of energy increases
Solution Approach 1:
The system employs periodic action by continuously capturing images with cameras and periodically processing them through the sign recognition unit. Rather than constant high-power operation, the system activates the processing units at specific intervals when toll signs are detected or at predetermined times, reducing overall energy consumption while maintaining detection accuracy.
Solution Approach 2:
The system applies partial action by processing only the portions of images that contain toll sign information rather than analyzing every pixel and object in the captured image. The recognition unit focuses computational resources on identifying and extracting toll-related information, reducing unnecessary energy expenditure on irrelevant processing.
3Loss of information
If the system processes toll sign images and searches the internet for toll information, then the loss of information is reduced, but the loss of time increases
Solution Approach 1:
The system performs preliminary action by pre-processing captured images to identify and extract toll sign information before the driver needs to pay the toll. The recognition unit analyzes images in advance, and the system searches for additional toll information proactively, ensuring all necessary information is gathered before the driver reaches the toll booth.
Solution Approach 2:
The system implements feedback by continuously monitoring the driving environment, detecting toll signs, extracting information, and notifying the driver. This feedback loop ensures that toll information is captured and communicated timely, reducing information loss while the system optimizes processing timing to minimize time consumption.
Data Source
AI summary
A toll road detection and notification system for a vehicle includes a plurality of cameras, a sign recognition unit, and a driver alert system. The plurality of cameras is configured to take images of a vehicle's environment. The sign recognition unit is configured to analyze the images from the plurality of cameras, detect a toll sign, and determine toll information. The driver alert system is configured to receive toll information from the sign recognition unit and notify a driver of the vehicle of the toll information.