Computer Vision is the science behind computers identifying and understanding information from visual sources , via a process of replication . Implemented in applications to make sense of the pixels in a certain image , The AI algorithm automatically analyses digitised images and videos , producing metadata based on it , such as : date , time , camera type , geographical location , and even objects – such as people , animals , cars or buildings .

1960s According to motionmetrics . com , Computer Vision began in earnest during the 1960s at universities that viewed the project as a stepping stone to artificial intelligence . Early researchers and academics – including Larry Roberts and Marvin Minsky – were extremely optimistic about the future of these related fields and promoted artificial intelligence as a technology that could transform the world .

AlexNet breakthrough Although Google and US government bodies had successfully utilised forms of Computer Vision up until this point , 2012 was a pivotal year . A team from the University of Toronto entered a deep neural network called AlexNet that changed the game for artificial intelligence and computer vision projects . Deep neural networks revolutionised the field of artificial intelligence : AlexNet achieved an error rate of 16.4 % and , in years following , error rates at the ILSRVC fell to just a few percent ; now , deep neural networks are the gold standard for image recognition tasks . These achievements paved the way for artificial intelligence to infiltrate Silicon Valley .

18 July 2022