The Australian government in August last year kicked off a trial that saw surveillance cameras placed in classrooms to monitor if students were in attendance. The now-completed trial took place in a few private schools in the state, and the funding was accounted for at a federal level. According to the Digital Rights Watch -- a charity aimed at educating on and upholding the digital rights of Australians -- the next phase of the trial was to roll out the program to state-run schools. The initiative would involve the placement of cameras within classrooms that scan the faces of students and then compare the images against photos kept on file. Any instances of missing students would then be reported.
TOKYO (WASHINGTON POST) - Japan is working to develop technology that will fully utilise artificial intelligence (AI) to detect suspicious vessels, according to sources. Aimed at strengthening maritime surveillance capabilities in waters around Japan, the envisioned technology is projected to be used for such purposes as monitoring North Korean ship-to-ship cargo transfers in international waters, the sources said. The government aims to start testing the AI-based technology in fiscal year 2021 using vessels of the Self-Defence Forces. The system will analyse information automatically transmitted by radio from the Automatic Identification System on board many ships. The AI will learn an enormous amount of information on the location and speed of ships, making it possible to automatically detect abnormalities such as ships navigating far away from ordinary routes or in the opposite direction.
BEIJING--China is establishing an electronic identification system to track cars nationwide, according to records and people briefed on the matter, adding to a growing array of surveillance tools the government uses to monitor its citizens. Under the plan being rolled out July 1, a radio-frequency identification chip for vehicle tracking will be installed on cars when they are registered. Compliance will be voluntary this year but will be made mandatory for new vehicles at the start of 2019, the people said. Authorities have described the plan as a means to improve public security and to help ease worsening traffic congestion, documents show, a major concern in many Chinese cities partly because clogged roads contribute to air pollution. But such a system, implemented in the world's biggest automotive market, with sales of nearly 30 million vehicles a year, will also vastly expand China's surveillance network, experts say.
Deep learning is an emerging field currently gaining significant attention in the security industry, especially in the surveillance market. By using powerful algorithms, devices are now capable of understanding and adapting to their environment by storing and analyzing large data sets, all without human intervention. Considered the next Industrial Revolution, the deep learning of artificial intelligence is making technology more efficient than ever thought possible. This intelligence is a key component to the development of sophisticated, data-rich information that enables surveillance systems to search through hours or days of video with a single click to locate an individual person or vehicle across a single site or multiple locations. Deep learning provides the necessary building blocks to clearly identify a person and know if that person is walking, running or crawling -- distinctions that video analytics was not previously capable of doing.
Face recognition or identification is the forward-thinking technology due to artificial intelligence. AI is utilized to create a smart engine which is based on the processing of visual content and visual data software. It is built to forecast the benefit to the businesses and its customer. The advancement of facial identification technology embedded with AI is to create a smart system that is able to scan faces on the behalf of Face ID automatically. From starting AI has created buzzword all over the world with the ability to perform cognitive functions expected from humans.