Traffic Light Controller Using Tensor Flow and Python

As technology advances, the growth of vehicle manufacturing and production is increasing dramatically. This increases the number of vehicles on the road and also the Vehicle density at traffic lights grows, which is a huge disadvantage for emergency vehicles. Due to this, the waiting time of ambulance at junction increases by resulting in an increased death rate of emergency patients. At the same time, the pedestrians have to wait to cross the signal and due to which the population increases and the rush leads to accidents by pedestrians. To overcome this, this research work has developed a novel device to reduce the wait time of pedestrians by using a certain average population density at the crossing and almost no waiting time for an ambulance. To implement this Raspberry Pi, a Pi camera and sensors are used along with the Tensor Flow algorithm as its main logic code is available in Python language.