DETECTION AND IDENTIFICATION OFVEHICLE'S NOPARKING AREA USING IOTAND CLOUD – A REVIEW

Smart parking systems typically get information only regarding accessible parking areas. All smart cities commonly face a key problem related to parking facilities and traffic management systems. Due to vehicles in a no-parking zone, several folks ought to face traffic problems. Therefore, to reduce this, projected work combines IoTand cloud. The target of the projected work is to create a model, "Detection and Identification of Vehicle's No-Parking area using IoTand cloud”, that helps the drivers to acknowledge the present parked space. No parking area is detected by making use of geolocation of vehicles with the assistance of a real-time cloud server. Projected work does not simply reduce the traffic jam, but it is collectively giving user authentication, cost-efficient and real-time. This method is enforced by putting geolocation, real-time cloud server, a microprocessor for instant data assortment and no-parking detection mobile-application into service. There will be no wastage time anymore searching for a parking space because the parking space will find them.