With the increasing number of vehicles on the roads, parking has become a major concern in most urban areas. To address this problem, a smart parking management system that uses image processing and objects detection techniques to detect parked vehicles and generate text from number plates is developed. The system uses two webcams, one to check the availability of parking slots and the other to capture the number plate of the incoming cars. The proposed system uses image processing and object detection algorithm to detect parked cars and extract number plates from the images. The number plates are then processed to generate text that can be used to identify the cars. From that the duration of stay will be identified and a bill for the parking is generated. Once the bill gets generated the gate sets to be opened. The proposed system is designed to detect the shortest distance for parking and assists drivers with directions to available parking spaces at the front. To assist the user in searching for free parking slot and to ensure the security of the parking slot, a gate control mechanism is implemented. The gate will only open if there is a free parking space available, and the incoming car's number plate is recognized and verified by the system. This proposed system is suitable for real-time analysis and provides an efficient solution to managing a large area of parking slots with less human labor and in less time.