Computer Vision: A Leap Towards an Accident-free World
Source- Internet

The Problem: Human Error

Article by: Himanshu Abhyankar

According to a 2019 study by the National Highway Transportation Safety Administration (NHTSA), somewhere between 94% and 96% of all car accidents are caused by human error.

What if I told you that each year, traffic accidents account for 2.2% of world deaths. That stacks up to roughly 1.3 million a year — 3,287 a day. On top of this, some 20–50 million people are seriously injured in auto-related accidents every year, brooding right? during this blog, we are going to facilitate your understand the importance of computer vision and also the future ahead.

From distracted driving to drunk driving to reckless driving to careless driving, one poor or unattentive decision may well be the difference between a typical drive and a life-threatening situation. the basis cause? Human error.

But what if we could neutralize the human error from this equation? What if there was the simplest way to watch bad driving and forestall those actions likely to cause accidents, even before the accidents occur?

Computer Vision is a lively solution. This technology makes it possible to mitigate human error within the auto industry, assisting drivers at the wheel with tools and features that keep them from committing serious mistakes and accidents. the longer term scope extending to autonomous vehicles and self-driving transportation.

Computer Vision: The Concept

Source- Internet

In it’s simplest form, computer vision is what allows computers “see” and process visual data.

Visual data is very difficult for computers to grasp. That’s where the genius of computer vision comes in. With support from artificial intelligence, computing, neural networks, deep learning, parallel computing, and machine learning, computer vision helping to bridge the gap between computers seeing and computers comprehending what they see.

To cut it short, computer vision is that the science behind advancements like self-driving cars and Facebook’s facial and image recognition technologies. Then again how is it different from human vision? How does it neutralize human error?
['Himanshu Abhyankar']
['Self Driving Cars', 'Future', 'Technology', 'Artificial Intelligence', 'Computer Vision']