Making computer vision real today
Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of Engineering, it seeks to understand and automate tasks that the human visual system can do.
So what does it includes? Well, computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions.
The scientific discipline of computer vision is concerned with the theory behind artificial systems that extracts information from images. The image data can take many forms, such as video sequences, views from multiple cameras, and multi-dimensional data from a 3D scanner or medical scanning device. The technological discipline of computer vision seeks to apply its theories and models to the construction of computer vision systems.
Thanks to advances in Artificial Intelligence and innovations in deep learning and neural networks, the field has been able to take great leaps in recent years and has been able to surpass humans in some tasks related to detecting and labeling objects. One of the driving factors behind the growth of computer vision is the amount of data we generate today that is then used to train and make computer vision better.
The demand for intelligent vision solutions from the edge to the cloud shows no sign of slowing down. Enterprises of every type want such applications for surveillance, retail, manufacturing, smart cities and homes, office automation, autonomous driving, and more. Increasingly, AI applications are powered by smart vision inputs until now, most intelligent computer vision applications have required a wealth of machine learning, deep learning, and data science knowledge to enable simple object recognition, much less facial recognition or collision avoidance.
Considering the capabilities of present-day computer vision, it might be hard to believe that there are more benefits and applications of the technology that remain unexplored. The future of computer vision will pave the way for artificial intelligence systems that are as human as us.
Submitted by - Harish Parmar
Branch - Artificial Intelligence (A1)
