Vehicle Detection Warning Device Using Brightness Area Tracking
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Solution Overview
Problem
Conventional vehicle detection warning systems fail to reliably terminate warnings when a vehicle has passed, due to incorrect detection of street lamps or tunnel lights as vehicle headlights, leading to delayed warning cessation.
Innovation Solution
A vehicle detection warning device and method that uses an imaging system to detect high-brightness regions, counts their occurrences, and calculates area changes to accurately determine when a vehicle has passed, employing a warning start and stop mechanism based on predetermined values and the least squares method to prevent false detections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods use color information from captured images to detect vehicle headlights, then vehicle detection can be achieved, but false detection occurs when street lamps or tunnel lights are present causing delayed warning termination
Solution Approach 1:
The patent segments the detection process into multiple independent evaluation dimensions: brightness threshold filtering, area calculation, positional tracking, and temporal continuity verification. Each dimension independently evaluates whether a detected light source corresponds to a vehicle headlight, and only when all segments confirm does the system terminate the warning. This segmentation prevents false termination delays by ensuring each criterion is independently satisfied.
2Measurement precision
If pattern recognition is used to distinguish specific shapes of high-brightness regions, then detection accuracy may improve, but processing complexity increases significantly
Solution Approach 1:
The patent transforms the detection approach from pattern recognition (shape-based) to parameter-based evaluation. Instead of analyzing the geometric patterns and shapes of light sources, the system evaluates quantitative parameters: brightness intensity thresholds, calculated area values, positional coordinates, and temporal persistence. This parameter transformation maintains detection accuracy while dramatically reducing processing complexity by using simple numerical comparisons rather than complex pattern matching algorithms.
3Ease of operation
If the warning continues until color information disappears from captured images, then the system assumes the vehicle has passed, but this assumption is incorrect when peripheral lights are present
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors multiple parameters (brightness, area, position, temporal persistence) and uses this feedback to dynamically adjust warning termination decisions. Rather than relying on a single assumption that color disappearance indicates vehicle passage, the system accumulates feedback from multiple evaluation segments and only terminates the warning when all feedback indicators confirm the vehicle has truly passed. This feedback loop significantly improves termination accuracy while maintaining operational simplicity.
Data Source
AI summary
A vehicle detection warning device may have a rear camera, a vehicle detecting unit that detects a rear vehicle according to high-brightness regions included in obtained images, a warning start deciding unit that causes a warning processing unit to start a warning when the rear vehicle is detected, a summarizing unit that counts the number of times the high-brightness region is included in images obtained by a plurality of imaging operations performed by the rear camera, an area calculating unit that calculates the area of the high-brightness region, and a warning termination deciding unit that causes the warning processing unit to stop the warning when the number of times counted by the summarizing unit decreases and the area calculated by the area calculating unit falls to or below a predetermined value.