Facial Recognition will soon be a part of cctv Surveillance System

• CCTV Camera will soon have facial recognition feature.
• Surveillance camera have live feed that's analyzed by algorithms
• Algorithms can help to secure smart cities by finding terrorists, criminals and missing people.
• Nvidia is partnering with AnyVision to develop this technology.

These days security camera are watching your every movement round the clock, but soon they also power with new facial recognition technology, by this camera can identify you. These camera can scan and identify faces in public 24X7.
This technology is being developed as part of a partnership between semiconductor giant Nvidia and Israel based security startup company AnyVision.
Nvidia's graphics chips will be used to real-time human face recognition platform being developed by AnyVision.

The cameras are going to equipped with face recognition technology. This can automatically identify faces.

Live feed is sent to a machine that's analyzed by algorithms and human monitors. Then this feed will be compare the face with its database.

AnyVision didn 't specify that the system can collect data from social media or not.

The developed claim that the technology can identify the person in large crowd with 99% accuracy.

The company hopes that the face recognition-equipped cameras will be used to help spot terrorists, criminals or a missing person, creating more 'secure cities in the world.'

Although designed for Video, AnyVision’s accuracy remains world-leading even for single-frame analysis. This means that installations can be configured to maximize performance for different conditions including camera resolution and FPS, density of faces, and field of view. Strong performance can even be achieved on streams with low FPS meaning AnyVision’s solution can be utilized across a broad range of existing installations.
Example benchmarks are detailed below with consumer-grade NVidia hardware. Server-class hardware such as the Tesla series allows very high numbers of concurrent streams to be processed.

Database size	Resolution	Processing Time
50K faces	1080p	11ms
500K faces	1080p	31ms
1M faces	1080p	50ms
3M faces	1080p	118ms
8M faces	1080p	270ms

AnyVision also has an app that can be accessed on smartphones and tablets, providing tactical teams on the ground with a location, photos and a live feed from the cities' cameras.

The technology is also being integrated into CCTV cameras that are located at ATM machines.

It's able to prevent bank fraud and illegal ATM cash withdrawals by comparing the live feed to a photo ID of the account holders face, thereby preventing unauthorized entries. 

AnyVision notes that it can also be used to 'secure sensitive places,' such as prisons and schoolyards, by identifying unauthorized persons, which automatically alerts the system of an intruder.

Additionally, AnyVision said casino cameras can be outfitted with face recognition technology to prevent scammers and banned customers from entering the premises, even if they're wearing camouflage like sunglasses, beards and hats.

The technology is being developed as a part of Nvidia's Metropolis Software Partner Program.

The program aims to 'put deep learning to work,' by working with software companies to create 'smart' cities.

'We're taking advantage of the more than 1 billion video cameras that will be in our cities by the year 2020 to solve a dizzying array of problems,' Nvidia explains on the company's website.

And, there are other potential uses.

Nvidia noted that it's working to build video-based, automated control of traffic signals to ease traffic.

The company also wants to build cameras mounted on traffic lights to help people find parking spaces, in addition to using cameras to improve maintenance of roads and bridges.