VSBLTY has announced the launch of new security initiatives in South Africa that will leverage the use of facial recognition technology and machine learning in the Sandton suburb of Johannesburg.
In partnership with Onyx Cognivas Pty. — a transparent digital signage and media marketing company — VSBLTYs plans call for the installation of their VSBLTY Vector facial recognition platform in a pair of residential apartment blocks, a hotel, and around commercial properties in Sandton, an affluent suburb with a population of over 200,000, with the aim of creating a “private Smart City“.
“We are excited to provide complete Smart City-like security solutions in Sandton. This state-of-the-art technology uses the power of machine learning and computer vision,” said VSBLTY Co-founder and CEO Jay Hutton.
The security program was initiated by a local business community group in partnership with citizens and local police. It will see the VSBLTY Vector platform used either alone or in combination with digital signage to look for “persons of interest” using facial recognition.
Placing their sensors near digital signs that contain vital information and require a person to look directly at them allows VSBLTY to better capture an individual’s image. VSBLTYs DataCaptor platform will use the data provided by the sensors to provide real-time crowd analytics using machine learning.
“This is a 21st Century neighborhood watch program that is setting the standard for collaborative security where citizens, law enforcement and technology can work together to achieve a higher level of community safety,” Hutton said. “This cost-effective technology will significantly reduce crime and will be installed in over 200 office buildings, hotels and retail locations as well as in Sandton residential neighborhoods,” he added.
There are also plans to use the same technology at gas stations in the area, with Onyx Cognivas Co-founder Andrew Coudounaris saying it will be installed at entrances and exits to the convenience stores and service stations to detect shoplifters, credit card fraud suspects and other persons of interest.
November 22, 2019 – by Tony Bitzionis