Energy Efficacious IoT Based Nifty Parking Information System

Abstract

Urbanization has inflated populace. This has upsurged traffic and pollution turning traffic management into a tangible reality. Gazillions of people around the globe prefer ownership of private vehicles over public mode of transportation. There is an imbalance between the available parking space and demand. The proposed Internet-of-Things (IoT) based nifty parking information system (IPIS) module is deployed on-site to monitor vehicles, signal the availability of parking space to the user, facilitate reservation of the parking slot and thereby reduce the time in finding the parking slot. MIT App Inventor creates applications on Android operating system to facilitate slot reservation for authenticated users. IPIS integrates IoT based Raspberry Pi module with the mobile Application to design an eased parking system operable with minimal energy. The user details are recorded in a server database. Based on this, an RFID tag permits user entry and exit into the parking slot. A Raspberry-Pi(R-Pi) camera module captures the license plate image and uses image recognition algorithm to match the license plate of the vehicle with the database, authenticates and then allows the member to park his vehicle in the respective slot. IPIS provides highly secured, double verified user vehicle authentication. The Raspberry- Pi also adjusts the intensity of the lights using machine learning based on the density of the traffic recorded by the camera module. This research focuses on slot reservation for authenticated users, providing map guidance to the booked slot, maximizing slot utilization, facilitating with vehicle and user timestamp transit details in real time for surveillance, conserving parking slot light energy utilization while regulating the cars through parking spaces and also performs predictive analysis on evaluating the optimum distance between the camera and number plate for recognition and power dissipation.