Smart Automated parking system employing Internet of Things and machine learning methods to detect vehicles

Electric vehicles are an important option for reducing emissions of greenhouse gases. Electric vehicles not only reduce the dependency on fossil fuel but also diminish the impact of ozone depleting substances and promote large scale renewable deployment. This paper gives a mini overview of an innovative automated smart parking for electric vehicles and the recent research and works in the sector of electric vehicles. The paper describes the main part of automated parking design working model and working procedure of vehicles and their work. The major components are battery, motor, charger, steering, and braking. We use YOLOv3 (You Only Look Once version 3) is a real-time object detection algorithm. It uses a single convolutional neural network (CNN) to simultaneously detect objects and classify them into various categories in real-time. It classifies the detected vehicle as Car, Bus, Truck or Bike which are parked in the parking slot. This paper finally shows basic concepts of automated parking model for electric vehicles with vehicle detection. So we could maintain the vehicles history in a regular basis. There are automated parking model for electric vehicles (hardware design model with Arduino board, improvisation on previously design logical model using python programming, vehicle detection model is the main focus of this paper. Vehicle counting can be used in a parking lot to monitor the number of vehicles entering and leaving the lot. This information can be used for a variety of purposes, including managing parking spaces, predicting traffic flow, and optimizing parking lot operations. Vehicle classification can also be used to improve road safety. For example, by identifying heavy vehicles, traffic controllers can enforce speed limits and weight restrictions on certain roads, reducing the risk of accidents and damage to infrastructure. Vehicle classification can also be used to track the environmental impact of vehicles. By identifying the type of vehicle, it can be determined if it is an electric, hybrid, or gasoline vehicle. This information can be used to track emissions and make improvements to reduce the environmental impact of transportation. Renewable energy sources could be used for more optimized model and future enhancement.