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IoT-Based Noise Pollution Monitoring with Digital Displays

Students & Supervisors

Student Authors
Aftab Alam Asif
Bachelor of Science in Electrical & Electronic Engineering, FE
Mobashwar Mostafa
Bachelor of Science in Electrical & Electronic Engineering, FE
Raif Tanjim
Bachelor of Science in Electrical & Electronic Engineering, FE
Tanvir Ahmed
Bachelor of Science in Electrical & Electronic Engineering, FACULTY OF ENGINEERING
Abdullah Al Mujahid
Bachelor of Science in Electrical & Electronic Engineering, FE
Supervisors
Md. Mortuza Ahmmed
Associate Professor, Faculty, FST

Abstract

"In countries like Bangladesh, where cities have been highly urbanized, noise pollution is an emerging concern. In areas with traffic congestion like Farmgate, Karwan Bazar, Shahbagh, and Moakhali, noise levels often exceed the 60 dB limit, reaching 80–110 dB. Continuous exposure to these noise levels can contribute to hearing loss, stress, sleep problems, and many other health problems. According to the UN Environment Program (UNEP), 75% of the noise pollution in Dhaka is caused by vehicular traffic making Dhaka the noisiest cities in the world. In Bangladesh around 11.7% of the population faces hearing loss due to noise, which shows the lack of effective noise control measure. To counter these issues, the government proposed the Sound Pollution (Control) Rules, 2006 in which set noise level restrictions for different zones. However, it still does not allow for monitoring and feedback to be collected in real-time. This project proposes an IoT-based noise monitoring system for sensitive areas such as hospitals, mosques, and educational institutions. The system consists of noise measuring sensors that provide real-time feedback to a digital display board. If the noise level exceeds the 50 dB threshold the display will show “WARNING”. An Arduino microcontroller, LM393 sound sensor, and ESP8266 Wi-Fi module are integrated within this system in order to capture and transmit data related to noise levels. This data is then posted on a digital board that can be hoisted on the roadside, traffic lights, and road dividers for immediate notification to the public as well as the authorities. Figure: System Flowchart This solution solves the problem of raising awareness regarding noise pollution instantly. It motivates the public and policy makers to take appropriate measures. This solution can be further developed to cover a wider area, enable machine learning for predictive analysis, and adapt automated systems for controlling noise by managing traffic or placing noise control barriers In conclusion, this IoT-based noise monitoring system with digital displays provides an effective tool for managing noise pollution in sensitive areas. The system demonstrates how modern technology can help address urban noise pollution challenges and improve public health by providing real-time feedback to both authorities and the public. "

Keywords

IoT-based noise monitoring noise pollution control real-time noise measurement digital display feedback urban noise pollution public health

Publication Details

  • Type of Publication: Conference 
  • Conference Name: IEEE CS BDC Summer Symposium 2025
  • Date of Conference: 18/07/2025 - 18/07/2025
  • Venue: Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh
  • Organizer: IEEE Computer Society Bangladesh Chapter
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