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Sunny Leone to Feature in a Canadian Producer’s Music Video

Mumbai, May 11 : Indo-Canadian actress Sunny Leone has joined forces with Canadian producer and DJ of Indian descent, UpsideDown, for the video of the song "Got it all".

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The music video has been executive produced by Urban Asian Music and promoted by 360 Worldwide.
Sunny Leone

Mumbai, May 11 : Indo-Canadian actress Sunny Leone has joined forces with Canadian producer and DJ of Indian descent, UpsideDown, for the video of the song “Got it all”.

It also features The PropheC, a Canadian singer-songwriter of Indian descent.

“We continue to push the boundaries of music by incorporating our culture and with the help of like-minded creatives. I’m grateful we are turning our dreams into reality,” UpsideDown, known for hits like Mickey Singh’s “Phone” and Jasmin Walia’s “Temple”, said in a statement.

UpsideDown and The PropheC take on the role of handymen in their music video who head to work at Sunny's mansion.
Sunny Leone with UpsideDown, BollywoodCountry

The PropheC believes UpsideDown has created his own lane in terms of production and “I am proud to be apart of it and continue to push our boundaries”.

UpsideDown and The PropheC take on the role of handymen in their music video who head to work at Sunny’s mansion.

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Sunny said: “UpsideDown and The PropheC were great to work with. It’s an exciting time for North American Punjabi music.”

The music video has been executive produced by Urban Asian Music and promoted by 360 Worldwide. (BollywoodCountry)

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Researchers Develop System That Can Locate Shooters Using Smartphone Video

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

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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. Pixabay

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.

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

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.

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“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. (IANS)