EARS or Environmental Audio Recognition System

Project Title

EARS or Environmental Audio Recognition System

Project Area of Specialization RoboticsProject Summary

•EARS is the concept of  implementation of live environmental audio processing & recognition . Our Project will detect  different environmental sounds which we encounter in daily life like  glass breaks, human screams, gunshots, explosions or door slams, honks,  and other sounds.

Project Objectives

The   goal of this project is  the characterization of  environmental sounds for understanding and to make these sound valuable to us.  Our Project will detect  different enviornmentel sounds which we encounter in daily life like  glass breaks, human screams, gunshots, explosions or door slams, honks,  and other sounds. we classify them in diffent classes .  we shall use python, deep learning, CNN, and different data sets  like MNIST.   

Project Implementation Method

used Python language.

Benefits of the Project

BENEFITS : it has various applications.                       Robotics:  Robot can perform specific task by detecting a specific sound.

Vehical Industry :

Vehicals can be automated by detection of sound  e.g they can turn on and off music system by detection of mobile tone . glass of car window can be controlled  when it detects noise outside .                 

Home Automation :

It plays an important role   we can detect sounds like  human screams, gunshots, explosions , door bells,  child crying ,falling of object ,car starting, loud Volume of TV and ringing telephone etc .                                                                                       Recording Devices: 
Devices which can operate in noisy enviornment ,to supress noise and focus on sound which is to be recorded. etc.                                                                                                

Technical Details of Final Deliverable

•OUR PROJECT IS USED FOR AUTOMATIC DETECTION AND RECOGNITION OF DIFFERENT  ENVIRONMENTAL SOUNDS , SUCH AS GLASS BREAK, human screams, gunshots,   explosions or door slams, honks,  and other sounds.

•A COMPLETE DETECTION AND IDENTIFACATION WILL BE DISCRIBED.     

• sound database containing more than 800 signals WILL BE distributed among FEW different classes.

•The detection algorithm, based on a median filter, features a highly robust  performance even under important background noise conditions.

•THIS PROJECT WILL BE ABLE TO SUPPRESSED UNWANTED BACKGROUND SONDS FROM LIVE RECORDING.

Final Deliverable of the Project HW/SW integrated systemType of Industry Transportation , Others , Security Technologies OthersSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	19150
respberry pi3 B+	Equipment	1	6500	6500
data cable	Equipment	2	250	500
micro SD Card	Equipment	1	1500	1500
mic	Equipment	2	1300	2600
hdmi cable	Miscellaneous	1	250	250
vga converter	Miscellaneous	1	500	500
lcd display	Equipment	1	5000	5000
mouse	Equipment	1	800	800
keyboard	Equipment	1	500	500
triport stand	Miscellaneous	1	1000	1000