Intelligent parking system using multiple sensor detection

With progressively growing number of vehicles in Bangkok, Thailand, searching for parking lots consumes energy, health, and time of drivers and also causes pollution. To detect an available vehicle park slot with low cost and simple installation, a magnetic field sensor has been widely used for an unoccupied parking lot however, it is unable to detect non-metal objects. In this paper, we propose an intelligent parking detector by using each sensor and combination of sensors to be more reliable detection of any objects in parking lot with energy-saving and easy installation. When sensors detect an object in the parking space, the data are sent via LoRaWan signal to a gateway device through wireless network. The z-axis data and distance data are processed and the vacant parking lots are displayed on mobile application, so the drivers can reserve a space before they arrive the parking lot. The experiment result shows that the magnetic and ultrasonic sensors has accuracy of 100% for both metal and non-metal objects, indoor and outdoor, and both sunny and heavy rain conditions. Furthermore, the chosen sensors consume low power.