Design of IoT based intelligent parking system using image processing algorithms

Abstract

Advancement in industrialization leaves the parking management system outdated. Traffic condition in foreign countries are homogeneous whereas India's traffic condition is heterogeneous which makes real-time management at parking lot difficult. Traffic congestion at parking lot has become often, that people cannot even find the place to park their vehicle especially in large companies where first come first serve method is used for parking vehicle. In nutshell, parking condition needs to be improved by introducing Internet of Things (IoT) to parking lots. With the help of Microcontrollers and Image processing, tradition parking lots can be converted into smart one. The proposed system will also help company to enter only registered employees and to manage limited parking place, efficiently. Image processing algorithms, such as OCR (Optical Character Recognition) are used to check valid employee. After image processing algorithm, number would be extracted out from number plate and sent to server, for employee verification. In the similar fashion, server will also receive exact traffic density count at parking lot and other statistics from the microcontroller. Android App can be used by the user to extract the details from server at any time on demand find the proper location for parking. This technology will help the companies with large number of employees to park their vehicle without wastage of time. This system also alert authorities when less than 10% space is available and have reserved parking for women, physically handicapped person, and pregnant women. For traffic management at parking lots, a prototype has been designed and tested. Main objective is to come up with a solution for traditional parking lots to save time and money of user.