Consider a scenario of a driver entering a parking with his car, he can’t know if there is a free spot to park in, so he may waist a lot of time searching for a free spot. In a realistic settings, a solution approach was given by marking the free spots with a green light on top of it, or by red light if it has been taken. The limit of this approach is that meanwhile the driver is going to park in a “free spot”, someone else can precede him.
With the advent of the technology and the spread of using robots in daily lives, we aim at exploit this progress to offer a better solution for the challenge of finding a free spot in a parking area. Computer vision and object recognition methods in specific have been got a reliable degree of maturity that can be used for developing a system based on it. To meet our goal and to serve the drivers with a better parking solutions, we simulate the real life settings in a laboratory terms. A robot would place a car, and a mounted camera (somewhere in the parking area) would “search automatically” for free spots, reserve it and notify the driver.
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