There were an estimated 30 million surveillance cameras in the United States in 2011.Video surveillance has been common in the United States since the 1990s; for example, one manufacturer reported net earnings of $120 million in 1995. With lower cost and easier installation, sales of home security cameras increased in the early 21st century. Following the September 11 attacks, the use of video surveillance in public places became more common to deter future terrorist attacks.Under the Homeland Security Grant Program, government grants are available for cities to install surveillance camera networks. In 2009, there were an estimated 15,000 CCTV systems in Chicago, many linked to an integrated camera network.
In the United Kingdom, the vast majority of CCTV cameras are not operated by government bodies, but by private individuals or companies, especially to monitor the interiors of shops and businesses. According to the Freedom of Information Act 2000 requests, the total number of local government operated CCTV cameras was around 52,000 over the entirety of the UK.An article published in CCTV Image magazine estimated the number of private and local government operated cameras in the United Kingdom was 1.85 million in 2011. The estimate was based on extrapolating from a comprehensive survey of public and private cameras within the Cheshire Constabulary jurisdiction.
Project SCRAM is a policing effort by the Halton Regional Police Service to register and help consumers understand the complex issues of privacy and safety that confront households when dealing with installations of home security systems. “The SCRAM program enables community members to voluntarily identify and register their residential video surveillance equipment through a simple, secure, confidential, online form.” It has not been extended to commercial businesses. A wide-ranging effort to provide registration and monitoring of home security and systems.
The number of CCTV cameras equipped with facial biometrics in Moscow’s public surveillance network is set to grow by 70 times from the current 1,500 to 105,000 by the end of the year. The CCTV system in Moscow can now recognise faces, using an algorithm based on neural networks. City camera recordings are analysed in real time. Faces on the screen are scanned and can be checked against several data bases, such as the police data base, to identify a suspect. This analytical system can also help police recreate a suspect’s movements around the city. The system searches for related recordings from various CCTV cameras and identifies the same face from several sightings.
Total Area : 1150 Square Feet
Location : Tirur, Malappuram
Plot : 5 Cent
Budget : 20 Lacks
