Vehicle Light Detection Alerts for Night Driving Visibility
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Solution Overview
Problem
Driving at night is unsafe due to reduced visibility and the inability of drivers to detect oncoming vehicles, leading to potential accidents.
Innovation Solution
A vehicle alert apparatus that acquires and analyzes images to detect the presence of oncoming vehicle lights by calculating brightness ratios and consecutive pixel counts, triggering alerts such as sirens, voice notifications, or visual markings to inform drivers of approaching vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drivers rely on natural night vision, then the driver's field of view is limited, but the driver cannot detect oncoming vehicles in time
Solution Approach 1:
The patent introduces an image recording device as an intermediary between the driver and the external environment. This device captures images of the surrounding area and provides visual information that the driver's natural vision cannot detect, particularly in low-light conditions. The intermediary device bridges the gap between limited human vision and the need for comprehensive environmental awareness.
Solution Approach 2:
The patent replaces the mechanical/biological vision system (human eyes) with an electronic imaging system (image recording device with pixel analysis). This substitution enables automated detection of light sources and vehicle lights through electronic image processing, overcoming the limitations of human night vision capabilities.
2Reliability
If drivers use image recording devices to detect oncoming vehicles, then detection accuracy improves, but the system complexity increases
Solution Approach 1:
The patent extracts the essential detection function from a complex image processing system by focusing specifically on pixel brightness analysis. Instead of implementing full computer vision capabilities, the system isolates and processes only the critical information (bright pixels indicating vehicle lights), thereby maintaining high detection reliability while minimizing system complexity.
Solution Approach 2:
The patent changes the analysis parameter from complex image recognition to simple pixel brightness thresholds. By detecting light sources based on brightness level rather than analyzing vehicle shapes, colors, or patterns, the system achieves reliable detection with minimal processing complexity. The approach transforms a complex visual recognition problem into a simple photometric measurement.
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
Enhances driving safety by effectively alerting drivers to oncoming vehicles, reducing the risk of accidents through real-time image analysis and alerting procedures.
Implementation Method 1
distinguishing between approaching vehicle lights (VL) and retroreflectors (R) in the dark, which are recorded as light surfaces by an image recording device
Implementation Method 2
distinguishing between approaching vehicle lights (VL) and retroreflectors (R) in the dark
Data Source
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AI summary
The present disclosure provides a vehicle alert apparatus and operating method thereof, in the field of automotive safety technology. The method comprises: acquiring an image of current record of a designated terminal during driving; analyzing brightness distribution of the image and obtaining an analysis result; and when the analysis result is a first analysis result, alerting in accordance with a first alerting procedure, the first analysis result indicates a vehicle light in the image. In the present disclosure, image is acquired by a vehicle alert apparatus during driving. When other vehicles are present around the driving vehicle where the vehicle alert apparatus is located, the acquired image may catch other vehicles' lights. At night or when the view is not clear, the lights and their background can have a larger brightness contrast displayed on the image. Therefore, the vehicle alert apparatus can analyze the brightness distribution in the image. When the analysis result indicates the presence of the vehicle lights, the driver can be alerted to the coming vehicle to improve the driving safety.