After launching its patented flash charging technology in smartphones, Chinese smartphone-maker OPPO on Monday announced that the brand is set to debut an even better version of fast-charging technology — SuperVOOC — with the launch of “R17 Pro” smartphone in December in India.
With SuperVOOC in OPPO’s latest offering, the devices would charge 40 per cent charge in 10 minutes, the company said in a statement.
From VOOC to SuperVOOC, the output power is maximised from 5V, 4A and 20W to 10V, 5A and close to 50W — which will save time and facilitate fast and safe charging.
The technology adopts a bi-cell design, which during charging can distribute the output voltage of 10V and reduce the voltage of each cell by half.
The SuperVOOC technology is also patented by OPPO and has been designed as a solution to the need for a quick, reliable, safe and long-lasting charging technology with a five-core protection that would check the safety level when the phone is charging, the company said.
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.