Traffic Light Detection via Interior Tonal Shifts
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Solution Overview
Problem
Conventional methods for detecting traffic light signal changes, such as coupling vehicles to traffic systems or capturing images of traffic lights, are ineffective as users often fail to notice signal changes, leading to traffic congestion.
Innovation Solution
A computer-implemented method using a user device to detect a tonal shift in color values associated with images of vehicle interiors, indicative of traffic light signal changes, without directly depicting the traffic light, and providing notifications to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods capture images directly of traffic lights to detect signal changes, then detection accuracy is improved, but user attention and awareness of signal changes deteriorate as users become occupied with smartphone interactions
Solution Approach 1:
The patent uses an intermediary approach by detecting traffic light signal changes through tonal shifts in ambient light captured from vehicle interior images rather than directly from traffic light images. This mediator (tonal shift detection) allows the system to notify users of signal changes without requiring users to directly observe or interact with traffic light images, thus maintaining detection accuracy while improving user awareness.
Solution Approach 2:
The patent replaces the mechanical/visual system of directly viewing traffic light images with an automated optical detection system. Instead of relying on users to visually detect and interpret traffic light signals, the system uses image capture devices to detect tonal shifts in color values, substituting human visual attention with automated optical measurement.
2Ease of operation
If users are occupied with smartphone interactions at red lights, then user convenience and entertainment are improved, but traffic flow efficiency deteriorates due to delayed response to green light signals
Solution Approach 1:
The patent implements a feedback mechanism by continuously monitoring tonal shifts in vehicle interior images and providing real-time notifications to users about traffic light signal changes. This feedback loop allows users to remain engaged with their smartphones while the system monitors for green light signals and promptly notifies users, maintaining convenience while improving traffic flow efficiency through timely response.
Solution Approach 2:
The system performs self-service by automatically detecting signal changes and notifying users without requiring user intervention or attention. The device autonomously monitors the traffic light status through tonal shift detection and provides notifications, freeing users to engage in smartphone activities while the system handles the monitoring and alerting function.
3Reliability
If images are captured of vehicle interiors instead of traffic lights, then user privacy and attention are preserved, but detection complexity increases due to tonal shift analysis requirements
Solution Approach 1:
The patent changes the detection parameter from direct traffic light color detection to tonal shift detection in ambient light within vehicle interiors. By monitoring changes in color values (tonal shifts) rather than absolute color values, the system maintains detection capability while protecting user privacy, as the images capture vehicle interiors rather than traffic lights. The parameter change from direct observation to indirect tonal monitoring reduces privacy concerns while managing complexity through focused analysis.
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
Effectively informs users of traffic light signal changes, reducing the likelihood of traffic congestion by detecting tonal shifts in color values from images of vehicle interiors, even when the traffic light is not directly visible.
Implementation Method 1
detecting a tonal shift in one or more color values associated with a plurality of images captured by an image capture device. The tonal shift can be associated with a change in a reflected intensity of light provided by a traffic light.
Data Source
AI summary
Systems and methods of detecting traffic light signal changes are disclosed. For instance, it can be determined that a user is stopped at an intersection having a traffic light. A plurality of images can be captured in response to detecting that the user is stopped at the intersection having a traffic light. The plurality of images do not depict the traffic light. A tonal shift in one or more color values associated with at least one image of the plurality of images can be detected. The tonal shift is indicative of a change in signal provided by the traffic light. A notification indicative of the change in signal provided by the traffic light can be provided to the user.