Overview

F r many decades, l dr m d f r t ng machines with the characteristics of hum n nt ll g n , th th t can think and act l k hum n . On of th m t f n t ng d w t g v computers th b l t t nd nt r r t th w rld r und th m. Th f t n f t rd h b m th f t f t d . One f the m t w rful and compelling t f AI m ut r v n wh h u'v lm t ur l x r n d n n numb r f ways w th ut even kn w ng. H r ' a l k t wh t t , how t works, nd wh t' so w m ( nd nl going t get b tt r). C m ut r v n the f ld f m ut r n th t f u n r l t ng rt f the m l x t of th hum n v n t m and n bl ng computers t identify nd r bj t n m g nd v d n the m way th t hum n do. Unt l r ntl , m ut r v n nl worked n l m t d capacity. Th nk t dv n n rt f l nt ll g n nd nn v t n n deep learning nd n ur l networks, th field h been bl t t k gr t l in r nt r nd has b n bl t ur hum n n m t k r l t d to d t t ng nd l b l ng bj t . Th nk t dv n m nt in rt f l intelligence nd computational w r, m ut r v n technology has t k n a hug l t w rd nt gr t n n ur d l l v . Th computer v n m rk t expected to r h $48.6 b ll n b 2022, m k ng t n xtr m l r m ng UX t hn l g . One f th driving f t r b h nd th growth f m ut r v n th m unt f d t w generate t d th t th n u d t tr n nd m k computer v n better. Al ng w th tr m nd u m unt of visual d t (m r th n 3 billion m g are h r d nl n v r day), the m ut ng w r r u r d t n l z th d t is now bl . A the f ld of m ut r v n h gr wn w th n w hardware nd lg r thm so h th accuracy r t f r bj t d nt f t n. In l th n d d , t d ' t m h v reached 99 r nt ur fr m 50 r nt m k ng th m m r accurate th n hum n t u kl r t ng t visual inputs. E rl experiments n m ut r v n t rt d in the 1950 nd t was first ut to u mm r ll t d t ngu h b tw n t d nd h ndwr tt n t xt b th 1970s, today th l t n for m ut r v n h v gr wn x n nt ll . C m ut r v n a field f m ut r n th t f u n n bl ng m ut r t identify nd und r t nd bj t nd l n m g nd v d . L k other t f AI, m ut r vision seeks t rf rm and ut m t t k th t r l t human b l t . In th , computer v n k to replicate b th th w hum n see, nd the w hum n m k n f wh t th see. Th range f r t l l t n for m ut r vision t hn l g makes t ntr l m n nt of m n m d rn nn v t n nd lut n . C m ut r vision n b run n th l ud or on premises.

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