Vehicle Device Detecting Location-Based Embedded Patterns
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Solution Overview
Problem
Current vehicle onboard computing systems divert driver attention and require multiple inputs for tasks like transactions, posing safety and legal risks, as they often need manual activation and input during vehicle operation.
Innovation Solution
A vehicle device equipped with cameras, sensors, and communication modules that detect and decode location-based embedded patterns, enabling automatic data processing and transaction handling without user intervention, by capturing images of embedded codes on road surfaces or objects using optical, infrared, or vibrational sensors, and communicating with service providers for data determination and transaction processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If onboard computing devices are used to expand vehicle capabilities for transactions and data processing, then vehicle functionality is improved, but driver safety deteriorates due to diverted attention and multiple input requirements
Solution Approach 1:
The system enables the vehicle to automatically detect embedded patterns, capture images, decode data, and execute transactions without requiring driver interaction. The vehicle's computing device serves itself by autonomously completing tasks that would otherwise require manual input, thereby expanding capabilities while maintaining driver safety.
Solution Approach 2:
The system performs data capture and processing in advance of when the driver would need to interact with the device. By detecting patterns and preparing transaction data automatically as the vehicle approaches relevant locations, the system eliminates the need for last-minute driver attention and input.
2Ease of operation
If manual activation and input are required for device operations during vehicle operation, then user control is maintained, but ease of operation deteriorates due to multiple inputs needed for tasks
Solution Approach 1:
The system automatically performs all operations including pattern detection, image capture, data decoding, and transaction execution without requiring the user to manually activate or input data for each task. The multiple input requirements are eliminated by making the system self-operating.
3Productivity
If multiple inputs are required to access applications and execute processes, then data accuracy can be verified, but productivity deteriorates due to time-consuming manual data entry
Solution Approach 1:
The system replaces manual mechanical data entry with automated optical pattern recognition and image capture. By using cameras and sensors to detect embedded patterns and automatically decode the data, the system eliminates the need for manual typing or input, dramatically increasing productivity while reducing the time lost to data entry tasks.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution reduces driver distraction and legal risks by automating data processing and transaction handling, enhancing vehicle capabilities while ensuring safety and compliance by minimizing user input during vehicle operation.
Implementation Method 1
A vehicle device equipped with cameras, sensors, and communication modules that detect and decode location-based embedded patterns, enabling automatic data processing and transaction handling by capturing images of embedded codes
Implementation Method 2
capturing images of embedded codes on road surfaces or objects using optical, infrared, or vibrational sensors
Implementation Method 3
The vehicle's device may automatically triggered to capture the image based on various available data, locations, and/or other detected data (e.g., vibrations caused by physical patterns within pavement or another road surface)
Data Source
AI summary
There are provided systems and methods for location-based embedded patterns for vehicle detection and data processing. A user's device, which may be connected to or associated with a vehicle may include a directional camera capable of capturing images in a direction for a directional perspective of the vehicle, such as a front, side, or back. The image captured may have an embedded pattern or code that is associated with data that may decoded or retrievable using the embedded pattern. The vehicle's device may utilize the code to determine the data and may activate a process for an application based on the data. In some embodiments, the data may also be loaded to the process or may cause the process to load or retrieve other data. The vehicle's device may utilize the process based on a location of the vehicle, as well as services provided at the location.