Everyone is talking about artificial vision applied to automotive. Everyday we read news about incredible car performing autonomous driving in our cities.
Maybe it is just a fascination due to our youth’s memories… full of robots resembling real persons. Still now is not possible to hear a metallic voice without thinking to many of the evil robots trying to invade our tiny planet.
It is so: we love and fear technology at the same time. We create it and yet we fear for it will replace us in our work, at home and, now, driving.
Yes! From the moment artificial vision outbroke from campuses’ labs started the invasion of our vehicles and, in a few years, will drive our cars, truck and autobuses. For this reason, maybe it worth we understand better how it works!
Artificial Intelligence: algorithms capable to recognize known patterns within images
Let us start with a question: are machines with artificial vision able to think and, consequently, to understand what they see?
The answer is no. Artificial vision does not mean “artificial understanding”. “Artificial vision” is just a generic name use to indicate algorithms capable to recognize known patterns within images.
It does not sound much complicated… and in fact it is not. Why then Artificial vision devices are so effective? After all, countless statistics prove out of any doubt that Active security devices reduced car accidents by the half in just 20 years.
Well this question is simple. Artificial intelligence can’t get distracted or absent minded like heir human counterparts. Again, countless statistics prove that 80% of the accidents are caused by driver’s distraction.
Countless statistics prove that 80% of the accidents are caused by driver’s distraction.
More efficient then. In some cases, though artificial vision can outperform common drivers also thanks to sensor technology capable to reach in the recent years super human capabilities:
Thermographic cameras for example can through smoke, fog, mist, and snow. Lidar cameras can detect distances. Radar cameras can do the same and we are all used to images produced by infrared sensors in the complete darkness.
Detecting critical dangers, saving lifes
Artificial vision algorithms thus exploit all the cutting edge sensors to detect critical dangers sometimes earlier than we ever could saving many lives.
In Azimut we have a wide range of devices powered by artificial vision. We are constantly committed in giving to our customers not only the best technology in the market, we also guided in the choice of what is best for their business.
Our 50 engineers crew, is always available for a free consultancy, because investing in security is a sure way to secure a whole business.