AI / ML
How do you make a machine ‘ see ’? And once granted , what does this sight enable technology to ‘ do ’? Computer vision is a branch of AI , concerned with instructing machines on extracting meaningful insights from digital data like images , videos and other visual inputs . Leveraging this information , computer vision facilitates appropriate actions and decision-making in accordance with specific tasks .
This technical capability harmoniously integrates with existing technologies , offering novel approaches to address realworld challenges , throughout multifarious industries . As a discipline , computer vision is considered as belonging to computer science , and it strives to enable computers to identify and comprehend objects and people . Given its broad range of practical applications , computer vision emerges as a vital aspect of various contemporary innovations and problem-solving solutions .
Computer vision and reshaping the shopping experience On this issue , Evyatar Ben-Shitrit , Director of Innovation at Shopic , says “ computer vision is an already-ubiquitous presence in our daily lives . It plays a crucial role in diverse technologies , from facial recognition in biometrics , to autonomous vehicles , robotic QA inspection processes , and even medical image analysis .” Its ramifications are vast .
“ Shopic ,” says Ben-Shitrit , “ utilises computer vision to identify items placed in grocery shopping carts , enabling automated checkout processes .” He highlights a recent and highly significant trend in computer vision technologies : the shift towards edge processing . “ Recent advances in edge cloud storage have allowed for ‘ on-site ’ computer vision processing ; reducing latency , energy consumption and bandwidth usage .” This development not only lowers adoption costs , but also addresses data privacy concerns , enabling wider acceptance of computer vision systems . Ben-Shitrit predicts that