A comprehensive Study on Smart Noise Alert & Detection System
Aditya Kumar Tiwari1
Computer Science and Engineering
Babu Banarasi Das Institute of Technology and Management
Lucknow, India
tiwari54931@gmail.com
Abhishek Kumar4
Computer Science and Engineering
Babu Banarasi Das Institute of Technology and Management
Lucknow, India
pratapabhishek755@gmail.com
Ram Bhushan Agnihotri2
Computer Science and Engineering
Babu Banarasi Das Institute of Technology and Management
Lucknow, India
bhushan.ram@gmail.com
Akshay Kumar5
Computer Science and Engineering
Babu Banarasi Das Institute of Technology and Management
Lucknow, India
akshay8663445@gmail.com
Aditya Kumar Singh3
Computer Science and Engineering
Babu Banarasi Das Institute of Technology and Management
Lucknow, India
adityakumar19405@gmail.com
Ayush Bhatt6
Computer Science and Engineering
Babu Banarasi Das Institute of Technology and Management
Lucknow, India
ayushbhatt963@gmail.com
Abstract—This research paper addresses about Smart Noise Alert & Detection System,
Increasing noise pollution and emergency alerts are fast becoming a critical public safety and life quality issue amid the rapid growth of urbanization. This paper highlights the design and deployment of a Smart Noise & Alert Detection System built on Arduino technology. Our system uses Arduino boards and sound sensors that alert upon the identification of abnormal sound. The system monitors environmental noise levels, distinguishing between normal levels of background noise and abnormal noises that are dangerous (for example, explosions, sirens, etc.) or abnormal concerning human distress signals (for example, people shouting).
Once the noise level or alert levels have been violated, the system immediately alerts the user through warning lights (using LEDs) and communicates the alerts using GSM modules/SMS to ensure an immediate response. Careful consideration was paid in the design to have the system be low-cost, scalable, and adaptable to ease up usage. Hence this concept could be applied in urban or rural areas and adapted for deployment into several buildings (for instance hospitals, factories, and homes) as well as public outdoor spaces. During field tests, the alert signals capturing noise anomalies were found to operate effectively. Our work contributes to the domain of smart noise and alert systems, whereby intelligent IoT-based safety systems are evolving from the increasingly accepted concept of smart cities.
