Thursday, March 26, 2026
ADVT 
Tech

Researchers At Carnegie Mellon University Develop Video System To Locate Mass Shooters Using Smartphones

Darpan News Desk IANS, 20 Nov, 2019 07:41 PM

    Researchers have developed a system that can accurately locate a shooter based on video recordings from as few as three smartphones.


    The system, called Video Event Reconstruction and Analysis (VERA), won't necessarily replace the commercial microphone arrays for locating shooters that public safety officials already use, although it may be a useful supplement for public safety when commercial arrays aren't available.


    "One key motivation for assembling VERA was to create a tool that could be used by human rights workers and journalists who investigate war crimes, terrorist acts and human rights violations," study researcher Alexander Hauptmann from Carnegie Mellon University in the US.

     


    When demonstrated using three video recordings from the 2017 mass shooting in Las Vegas that left 58 people dead and hundreds wounded, the system correctly estimated the shooter's actual location -- the north wing of the Mandalay Bay hotel.


    The estimate was based on three gunshots fired within the first minute of what would be a prolonged massacre.


    VERA uses machine learning techniques to synchronise the video feeds and calculate the position of each camera based on what that camera is seeing.


    "But it's the audio from the video feeds that's pivotal in localising the source of the gunshots," Hauptmann said.


    Specifically, the system looks at the time delay between the crack caused by a supersonic bullet's shock wave and the muzzle blast, which travels at the speed of sound.


    It also uses audio to identify the type of gun used, which determines bullet speed.


    VERA can then calculate the shooter's distance from the smartphone.


    "When we began, we didn't think you could detect the crack with a smartphone because it's really short," Hauptmann said.


    "But it turns out today's cell phone microphones are pretty good," Hauptmann added.


    By using video from three or more smartphones, the direction from which the shots were fired -- and the shooter's location -- can be calculated based on the differences in how long it takes the muzzle blast to reach each camera.


    VERA is not limited to detecting gunshots.


    "It is an event analysis system that can be used to locate a variety of other sounds relevant to human rights and war crimes investigations," Hauptmann said.


    The researchers presented VERA and released it as open-source code at the Association for Computing Machinery's International Conference on Multimedia in Nice, France.

     

    MORE Tech ARTICLES

    App to save footballers suffering sudden cardiac arrest

    App to save footballers suffering sudden cardiac arrest
    A new app will help anyone attending sports events to identify and treat sudden cardiac arrest (SCA) on the football field and save lives in emergencies....

    App to save footballers suffering sudden cardiac arrest

    Bell's CraveTV launches next week for $4 a month

    Bell's CraveTV launches next week for $4 a month
    Bell's streaming competitor to Netflix and Shomi will launch to "TV lovers" next week at about half the price.

    Bell's CraveTV launches next week for $4 a month

    IBM helps you donate computer power to fight Ebola

    IBM helps you donate computer power to fight Ebola
    IBM has engineered a way for everyone to join the fight against Ebola — by donating processing time on their personal computers, phones or tablets to researchers.

    IBM helps you donate computer power to fight Ebola

    Twitter gets Instagram style photo filters

    Twitter gets Instagram style photo filters
    The Twitter app for iOS and Android devives has replaced its photo filter grid with an easier to use Instagram-style row of adjustable filters....

    Twitter gets Instagram style photo filters

    This computer understands science better than humans

    This computer understands science better than humans
    A computer developed by the University of Wisconsin-Madison (UWM) has proved that it is better than scientists at extracting data from scientific publications...

    This computer understands science better than humans

    MIT engineers overcome doubters to design a cheetah robot that can run, jump on battery power

    MIT engineers overcome doubters to design a cheetah robot that can run, jump on battery power
    It's a robot unlike any other: inspired by the world's fastest land animal, controlled by video game technology and packing nifty sensors

    MIT engineers overcome doubters to design a cheetah robot that can run, jump on battery power