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1. AN IOT NOISE DETECTOR WITH
AUTOMATIC RECORDING SYSTEM USING
ARDUINO
UNDER THE GUIDANCE OF
Mrs B.SAILAJA
TEAM MEMBERS
GEETHA REVATHI (19HQ1A0512)
M.SRINIVAS (20HQ5A0502)
M.YASHAS (19HQ1A0524)
ASHIYA FARHEEN (19HQ1A0545)

2. CONTENTS
• Abstract
• Existing System
• Proposed System
• System Requirements
• Architecture
• Components

3. ABSTRACT
 Noise detector with automatic recording system is used to detect the noise and
record the noise automatically. Expansion of sound in schools and office have
demonstrated to be a significant issue. A teacher can't screen every single one non
stop.To tackle this, issue a Commotion identification with an programmed
recording framework utilizing Arduino is planned.This gadget informs us at
whatever point it recognizes boisterous discussion (the sound level above 120dB to
140dB) and it additionally records the discussion and recoveries in a record. These
gadgets are utilized in quiet zones like medical clinics, libraries, labs, and
furthermore in schools and universities to look after dignity. This causes us to keep
up quietness and furthermore to recognize uproarious individuals so that
fundamental activity can be against them.

4. EXISTING SYSTEM
 Existing system are we have lecturers in colleges and schools to manage and
security in hospitals and public places like that, where people are required to
control the noise in that particular area.
 One of the existing system is where bluetooth devices are placed in different
places where there will be a flow or stand of people, and if there is noise above
the range of the limited sound an alert will be generated to the security or the
person who is monitoring the bluetooth devices information.

5. DISADVANTAGES OF EXISTING SYSTEM
• Lack of security
• If the device is far to the noise it will be unreachable
• Immediate action of the noise is delayed
• As the device we use is bluetooth it is limited to a particular range and if the
user if far it won’t work.

6. PROPOSED SYSTEM
• In the proposed system we are using Nodemcu wifi module which is ESP32
along with LM393 sound sensor module which will get the sound in the region
if it is above the range and send an alert to the end user using the ESP32 wifi
module, and the user will get an update in the android application wherever he
is.

7. ADVANTAGES OF PROPOSED SYSTEM
• The range is not limited
• The user will get immediate alert and can take necessary action as early as
possible.
• This can be used in any place like schools, colleges, hospitals, labs etc.,..
Where there is a high probability of noise.

8. SYSTEM REQUIREMENTS
• Arduino UNO
• ESP32 Wifi module
• LM393 sound sensor
• Buzzer
• Connecting Jumper wires
HARDWARE REQUIREMENTS
SOFTWARE REQUIREMENTS
• Environment : Arduino IDE
• Blynk mobile application

9. ARCHITECTURE
BUZZER
LM393 SOUND
SENSOR
ARDUINO
UNO
ESP32 WIFI
MODULE
SMART PHONE ALERT

10.  The Arduino Nano is an effective IoT hardware that comes with a lot
of versatility. This acts as the mainboard to which all other
components are connected to.
 Arduino UNO is a microcontroller board based on an 8bit
ATmega328p microcontroller.
 The board equipped with other components like crystal oscillator,
voltage regulator, 14 digital output/input pins (6 PWM output pins), 6
Analog pins, USB port, and power jack.
 An ATmega16U2 firmware uses the USB com drivers and no other
external drivers are required to communicate with the OS of a
computer.
ARDUINO UNO
COMPONENTS

11.  LM393 sound detection sensor module for
arduino detects whether the sound has exceeded a
threshold value. The sound is detected via a
microphone and fed into an LM393 op-amp. The
sound level setpoint is set via an onboard
potentiometer.
LM393 SOUND
SENSOR
BUZZER
 The buzzer act as a message passer in this system.
Once the threshold level is crossed it will inform
the app through bluetooth to start the recording.
Similarly, hence the noise level lowers will
initiate a message to stop the recording.

12.  ESP32 is a series of low-cost, low-power system on a chip
microcontrollers with integrated Wi-Fi and dual-mode
Bluetooth. The ESP32 is much more powerful than the
ESP8266
ESP32 WIFI MODULE
 Smartphone here acts as an interface for the system to
work for us to control it. An app is developed and
installed in the smartphone with a code that will initiate
and stop recording according to the varying noise level.
SMART PHONE ALERT

13.  Blynk is an IoT platform for iOS or Android smartphones
that is used to control Arduino, Raspberry Pi and
NodeMCU via the Internet. This application is used to
create a graphical interface or human machine interface
(HMI) by compiling and providing the appropriate
address on the available widgets
BLYNK APPLICATION