Acoustic Vehicle Security System for Relative Velocity Detection
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Solution Overview
Problem
Existing vehicle security systems, such as those using radar electromagnetic waves or image processing, face accuracy issues in detecting relative speed between vehicles due to weather conditions like pouring rain, leading to potential driver misjudgments and safety risks.
Innovation Solution
A vehicle security device that determines relative speed between a front car and a rear car by processing and analyzing sound data, specifically tire and engine noises, using a vehicle noise processing module, comparing and determining module, and an alarming module to provide accurate driving speed and direction information and send alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If radar electromagnetic waves are used for vehicle distance detection, then detection range is extended, but detection accuracy deteriorates under pouring rain due to energy decrease and cross-polarization interference
Solution Approach 1:
The patent replaces the radar electromagnetic wave detection system with an acoustic detection system using microphones to capture vehicle sounds. This substitution eliminates the weather-related interference problems of radar while maintaining detection capability through sound wave analysis, which is not affected by rain or cross-polarization interference.
Solution Approach 2:
The patent changes the detection parameter from electromagnetic wave characteristics to acoustic signal characteristics. By analyzing sound frequency, amplitude, and temporal patterns of vehicle noises, the system achieves accurate distance and speed measurement without being affected by weather conditions that degrade radar performance.
2Ease of operation
If image processing or radar detection is used for vehicle detection, then driving assistance is provided, but detection accuracy deteriorates in bad weather conditions
Solution Approach 1:
The patent replaces optical-based image processing and radar detection systems with an acoustic detection system. Sound waves penetrate weather conditions better than electromagnetic waves, allowing the system to maintain high detection accuracy in rain, fog, and other adverse weather while continuing to provide driving assistance through speed and distance measurement.
3Measurement precision
If sound-based detection is used to determine relative velocity, then detection accuracy is improved in bad weather, but device complexity increases due to additional processing modules
Solution Approach 1:
The patent employs algorithms that automatically analyze acoustic signals to extract vehicle speed and distance information without requiring complex manual processing. The system self-adjusts by comparing sound frequency shifts and intensity variations over time, automatically determining relative velocity and distance while maintaining simplicity despite the enhanced functionality.
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 detection accuracy by utilizing sound data, which is less affected by weather conditions, allowing for timely alarming and reducing the risk of traffic accidents.
Implementation Method 1
the sound retrieving unit retrieves a surrounding environmental sound existing around the vehicle
Implementation Method 2
the vehicle noise filtering unit, which is in signal communication with the sound retrieving unit to filter the surrounding environmental sound existing around the vehicle according to a predetermined vehicle-noise frequency range
Implementation Method 3
the demodulator which electrically connects to the vehicle noise filtering unit and the signal storage unit to perform digital-to-analog conversion to convert the vehicle noise into the vehicle noise storage-voltage data
Implementation Method 4
the comparing and determining module compare the average voltage values stored in the vehicle noise in a sequence according to time of occurrence, thereby obtaining driving speed information and driving direction information
Data Source
AI summary
A vehicle security alarming device determining a relative velocity between a front car and a rear car by sounds retrieved therefrom, comprising a vehicle noise processing module, which is configured to process a vehicle noise from the front car and the rear car, amplifying the vehicle tire sound and engine sound after filtering the wind shear sound, thereby obtaining an average voltage value; a comparing and determining module; and an alarming module. The comparing and determining module receives the vehicle noise processing data and stores the voltage value of the vehicle noise processing data in a sequence according to time of occurrence for the comparing and determining module to compare and determine whether the rear car is approaching the vehicle, and output an alarming information, where the alarming module electrically connects to the comparing and determining module and sends out an alarming signal after receiving the alarming information.