Noise Detection and Management for Smart City

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Noise Detection and Management for SmartCity 

Noise Detection and Management for Smart City

Abstract of IoT Project on Noise Detection and Management for Smartcity

IoT Project on Noise Detection and Management For Smart City. Noise is an environmental effect which can cause annoyance and significantly affect health. With ever increased by population densities of cities, the noise levels are increasing. And controlled potential adverse noise effects to reasonable levels. IoT Project On Noise Detection And Management For Smartcity

Our work is to develop free and open source mobile application in Android environment. used to sense noise levels and provide useful  feedback to users.Noise track is able to provide noise levels in dB on real-time as well as daily and monthly basis. Smartphone sound app can serve to empower and educate workers and decision makers for better environment. Which then can be used for traffic routing by comparing it with real time data. Noise track is able to provide noise levels in dB on real-time as well as daily and monthly basis.

Noise is an environmental effect which can cause annoyance and can significantly affect health. With ever increasing population densities of cities, the noise levels are increasing and a balance needs to be achieved between legitimate commercial activities and controlling potential adverse noise effects to reasonable levels.

System Configuration

H/W System Configuration
Speed                   : 1.1 GHz
RAM                      : 256 MB(min)
Hard Disk              : 20 GB
Floppy Drive          : 1.44 MB
Key Board             : Standard Windows Keyboard
Mouse                  : Two or Three Button Mouse
Monitor                : SVGA
S/W System Configuration

Platform                     :  IOT

Operating system       : Windows Xp,7,
Server                       : WAMP/Apache
Working on                : Browser Like Firefox, IE

Conclusion

Millions of people already carry smartphones with rich sensing capabilities. Our work is to develop free and open source mobile application in Android environment, used to sense noise levels and provide useful feedback to users. Noisetrack is able to provide noise levels in dB on real-time as well as daily and monthly basis. Smartphone sound app can serve to empower and educate workers and decision makers for better environment.