Technology Magazine August 2023 | Page 137

“ 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 ”

EVYATAR BEN-SHITRIT DIRECTOR OF INNOVATION , SHOPIC
as the accessibility of computer vision technology increases , more industries – including healthcare , retail and autonomous vehicles , will embrace its potential .
“ Computer vision systems are evolving to become more sophisticated ,” he says . “ As AI algorithms improve , computer vision gains the ability to recognise objects , faces and even emotions with greater precision .”
Techniques such as attention models and graph neural networks play a crucial role in enhancing the processing of images and facilitating a deeper comprehension of context , thereby enabling more accurate interpretation and analysis of visual data . However , as these technologies become increasingly intertwined with human lives , their ethical implications also grow in parallel with their advancements . Ben- Shitrit emphasises the utmost importance of ethical use and compliance with privacy regulations in the development and deployment of computer vision applications .
Computer vision is also poised to transform the realm of augmented reality ( AR ) experiences . By seamlessly integrating computer vision cameras with eyetracking capabilities and gyroscopes , AR solutions gain the ability to dynamically adapt virtual environments based on the user ’ s movements and interactions . This breakthrough opens up a world of possibilities in various domains , including disability assistance devices , direction apps that provide personalised navigation guidance , and immersive gaming experiences that blur the lines between the virtual and physical realms . The fusion of computer vision and AR technologies holds tremendous potential in enhancing accessibility , interactivity , and engagement for users across diverse contexts .
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