Mobile Noise Source Localization via Audio-Visual Triggering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Locating and proving noise violations by vehicles that exceed statutory noise standards is challenging due to the difficulty in identifying and documenting noisy vehicles in real-time.
Innovation Solution
A system comprising a sound sensing device that captures sound waves, an audio comparing device that triggers an image pickup device based on characteristic information comparison with standard data, and an optional video comparing device for confirmation, allowing for automatic image capture and data storage of noisy vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring and identification of noisy vehicles is used, then enforcement personnel can assess noise violations, but it is difficult to locate and document noisy vehicles in real-time with sufficient accuracy for proof
Solution Approach 1:
The patent replaces manual mechanical monitoring with an automated electronic system comprising sound sensing devices, audio comparing devices, and image pickup devices. The sound sensing devices capture sound waves and convert them to electrical signals, the audio comparing device automatically compares characteristic information against standard data, and the image pickup device captures visual evidence. This substitution of manual processes with automated electronic systems enables real-time detection and documentation of noisy vehicles with high precision and without time loss.
2Productivity
If automated sound detection system is implemented, then real-time noise source identification is achieved, but system complexity increases due to multiple devices and coordination requirements
Solution Approach 1:
The patent merges multiple functional devices into an integrated automated monitoring system. The sound sensing device, audio comparing device, image pickup device, and video comparing device are combined into a coordinated system where the sound sensing device captures acoustic data, the audio comparing device processes and compares it against standards, the image pickup device captures visual evidence, and the video comparing device provides additional verification. This merging of separate functions into a unified automated system improves productivity while managing complexity through functional integration.
Solution Approach 2:
The automated monitoring system performs multiple functions through a single integrated architecture. The system simultaneously detects noise levels, identifies noise sources, captures images, records video evidence, compares data against standards, and generates violation documentation. This multi-functionality approach allows the system to handle the entire noise violation detection and documentation process through one coordinated system rather than requiring separate systems for each function, thereby improving productivity without proportionally increasing complexity.
3Reliability
If continuous monitoring of all vehicles is performed, then all noise violations can be detected, but energy consumption and processing load increase significantly
Solution Approach 1:
The patent implements partial monitoring by focusing detection resources on vehicles that exhibit noise characteristics exceeding statutory standards. Rather than continuously monitoring all vehicles at maximum sensitivity, the system activates full detection and documentation functions specifically when the audio comparing device identifies characteristic information that matches or exceeds noise violation thresholds. This partial action approach ensures reliable detection of violations while reducing energy consumption and processing load during normal operating conditions when no violations are present.
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 identifies and records noisy vehicles by automatically capturing images and data, facilitating enforcement of noise regulations through efficient and accurate noise source localization.
Implementation Method 1
a sound sensing device catching a sound wave of a mobile noise source within a specified area for a specified time period, and outputting a characteristic information corresponding to the sound wave
Data Source
AI summary
In a system for locating a mobile noise source, a sound sensing device catches a sound wave of a mobile noise source within a specified area for a specified time period, and outputs a characteristic information corresponding to the sound wave. An audio comparing device in communication with the sound sensing device compares the characteristic information with a set of standard data, and outputs an activating signal in response to a specific compared result. An image pickup device in communication with the audio comparing device performs an image pickup operation to catch an image of the mobile noise source in response to the activating signal.