Blind Spot Eye
We were all born with two powerful eyes to start with. The two eyes provide stereoscopic vision in full colors in front of us. They do have some shortcomings. They can see a lot and not a lot at the same time. This article talks about how artificial intelligence allows us to see what we cannot see as soon as 2023.
As we have all experienced as a driver, there are many blind spots on the driver side of the car. We rely on the side mirror to see what is behind us. The side mirror normally has a narrow angle to give focus to blind spots. There are two issues with the side mirror. First, the driver has to take the naturally eyes off the road for a second to see the side mirror. Accidents often happen in a fraction of a second. Second, the side mirror does not have 180-degree vision and therefore a span of over 100-degree is still blind. A pedestrian on the street can see much better than the driver. Artificial intelligence (AI) comes to the rescue to produce an image on the dashboard showing objects within the 180-degree scope as seen by pedestrians on the street around the bus. This AI-augmented vision allows the driver to see what he cannot see otherwise.
How does AI work in order to enhance human capabilities to such a new height? AI relies on plenty of relevant data which we normally did not care. When plenty of relevant data is fed into a machine learning framework, the latent relationships among data will be worked out in the framework step by step until the final machine learning model is capable of reproducing the relationships of new data accurately.
Many images from standard cameras will be needed to feed a machine learning model as the input. Furthermore, images in the format that we plan to provide on the dashboard to the driver are needed to go into the machine learning model to serve as the desired output. The relationship of input and output will be worked out by the machine learning model when sufficient input and output data are supplied for training. We can be confident that Blind Spot Information System (BSIS) as a standard vehicle dashboard feature is not far away.
Many industry players have announced AI augmented visions for applications in various domains such as driving, shop or factory managing, clinical inspections or operations, and smart lampposts on the street. Are these augmented visions the same as Augmented Reality (AR)? AI augmented vision is the 3rd eye or 4th eye for us. Augmented Reality replaces pure reality for our 2 eyes. They are different in the method of deployment.
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