Nowadays, smart parking guidance system is a crucial research for people’s convenience where the integrating concept of IoT that include hardware and software with the connection of internet for image or video processing technology is a powerful application which made up a complete smart parking system. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available and cameras are costly and lower in reliability. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on Raspberry Pi camera module and 360o lens that process with De-Warping techniques for the normal view rather than 360-degree view and Haar-Cascade classifier. The image and video processing was done by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and cameras which were implemented on traditional parking guidance system. In the end of the paper, it is proved that prototype based smart parking is the convenient way to find the parking space availability.
Smart Parking Guidance System Using 360o Camera and Haar-Cascade Classifier on IoT System
