Idea Details

Team and Contact Details

SNo Student Name School Degree Year Email
1Muhammad Atif JavedMCSUndergraduateFourthatifjaved238@gmail.com
2Hassam AbbasiMCSUndergraduateFourthhassamabbasi52@gmail.com
3Umer WaqasMCSUndergraduateFourthwaqasumar982@gmail.com
4Muhammad Zeeshan ArshadMCSUndergraduateFourthzeeshanch124@gmail.com

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: Audio Localization
Slogan: You'll be tracked
Startup Domain: Safe Cities Law Enforcement
Abstract:
    This paper describes an audio-based surveillance system which automatically detects anomalous audio events in close quarter battle like gunshots, and localizes the position of the source.
What is the unmet need in society that your idea will fulfill ?
    For decades, law enforcement organizations have increasingly utilized audio detection and localization systems to identify potential gunshot incidents and to respond accordingly. It has an ever increasing requirement in Low Intensity Conflicts to save ammo and lives.
Who needs it ? How many would benefit ?
   The fields that can benefit from this project are: 1. Law Enforcement Agencies 2. Robotics 3. Medical
How will the solution works
    The technique for source localization in environments with small reverberation time is based on the Time Difference of Arrivals (TDOA) of the signal at an array of microphones. These time delays are further processed to estimate the source location. At least three microphones will be used to triangulate the sound source to find it's direction and angle based on TDOA calculations on Raspberry Pi using Python.
Who are your competitors ? How is your solution different
    Boomerang and ShotSpotter. The solution is based on cross-correlation and system time stamp to find out the direction of sound source.
Status: Approved
Entry Date & Time: 2019-01-15 (0639)